Organization: Radiology

Title: Postdoctoral Scholar, Department of Radiology, Diagnostic Imaging Sciences Center (DISC)

Position Details

Position Description

The University of Washington, Department of Radiology, has openings for multiple postdoctoral scholar positions.  The research projects will focus on advancing rapid, quantitative, and multiparametric MRI protocols, evaluating their reproducibility, and facilitating their clinical translation across various body regions and disease types.  The work will primarily utilize Philips 3T and 1.5T scanners as the main platform, while with additional access to state-of-art Siemens, GE scanners, as well as a United Imaging PET/MRI system located nearby—providing an ideal setup for multi-vendor studies.  The prospective postdocs will collaborate with a diverse team of experts, including radiologists and physicians from various specialties at the University of Washington and its affiliated hospitals.  Anticipated start date of November 1, 2025.

The base salary range for this position will be $68,460 – $74,136/year ($5,705 to $6,178 per month), commensurate with experience and qualifications, or as mandated by the U.S. Department of Labor prevailing wage determination.

Postdoctoral Scholar appointments are initially for 12-months with opportunities to renew.  This appointment may not exceed 5 years, including postdoctoral experience(s) at other institutions.  This is a full-time Postdoctoral Scholar position on an annual, 12-month appointment.  Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply.  For more information, please visit the University of Washington Labor Relations website.

Qualifications

Required Qualifications:

• Completed PhD in biomedical engineering, electrical engineering, physics, or a medical imaging related field.
• Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued.

Instructions

Interested candidates should apply via Interfolio link with their CV (including a full list of publications), a statement of research interests, and contact information for three referees.

For questions please email:

Dan Zhu, PhD, Research Assistant Professor of Radiology, Assistant Director of MRI Protocols for DISC, at dzhu6@uw.edu;

Qin Qin, PhD, Research Professor of Radiology, Director of DISC, at qqin@uw.edu.

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.

Benefits Information

A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/. Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits.

Commitment to Diversity

The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint/). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432).

Privacy Notice

Review the University of Washington Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used, and your rights.

Disability Services

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

Organization: Otolaryngology / Head and Neck Surgery

Title: Postdoctoral Scholar – Auditory brain and behavioral predictors of late language emergence

Position Details

Position Description

The University of Washington’s Department of Otolaryngology–Head and Neck Surgery and the Virginia Merrill Bloedel Hearing Research Center has an opening for a motivated postdoctoral researcher to join an NIH-funded project investigating brain and behavioral development in early childhood. This longitudinal study focuses on auditory processing and aims to identify neural and behavioral predictors of late language emergence in both typically developing infants and those at risk for language delays. Leveraging longitudinal EEG and behavioral assessments, the research seeks to discover early markers that can facilitate timely diagnosis and inform targeted interventions for infants vulnerable to delayed language development.

The successful candidate will join a collaborative, multidisciplinary team dedicated to advancing our understanding of early auditory and language development and informing clinical assessments and interventions that support infant development.

We seek a motivated researcher with expertise in EEG data acquisition and analysis, strong programming skills, and a passion for developmental neuroscience. Experience working with infants or young children is highly desirable.

This will be a full-time position on an annual service period of 12 months (July 1–June 30). The anticipated start date is October 1, 2025 or later.

The base salary for this position will be $5,705 per month ($68,460 per year), or as mandated by a U.S. Department of Labor prevailing wage determination.

Postdoctoral scholars at the University of Washington are represented by UAW 4121 and subject to the collective bargaining agreement, except where exclusions apply. For details, please visit the University of Washington Labor Relations website.

Qualifications

We are looking for candidates who bring:

• Expertise in EEG acquisition, signal processing, and data analysis
• Proficiency in programming
• Experience in child development research, especially related to auditory processing, language acquisition, or related domains
• Strong communication skills and the ability to collaborate effectively in a multidisciplinary team
• Enthusiasm for longitudinal research and working with infant or early childhood populations

Applicants should hold a PhD or foreign equivalent in developmental psychology, neuroscience, speech and hearing sciences, engineering, or a related field.

Instructions

Applicants should submit via Interfolio:

1. A cover letter describing your interest and relevant experience
2. Curriculum vitae
3. Two representative publications
4. Contact information for three references

For project-related questions, please contact Dr. Bonnie Lau at blau@uw.edu.

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.

Benefits Information

A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/. Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits.

Commitment to Diversity

The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint (http://www.washington.edu/diversity/diversity-blueprint/). Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (https://www.washington.edu/admin/rules/policies/FCG/FCCH24.html#2432).

Privacy Notice

Review the University of Washington Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used, and your rights.

Disability Services

To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.

Maritime trade is of central importance for global trade. Much of it is based on the transportation of goods by large container ships. These are not very flexible due to fixed routes, cause environmental problems and are prone to serious and costly accidents due to human error. Solutions to these problems, such as sustainable drives and autonomous navigation, are not yet fully developed and are still at the experimental stage. To address these issues, the company CargoKite (https://cargokite.com/) is developing a wind-powered ship for autonomous, highly flexible global container transportation, which is currently at the concept stage. This is a transport ship with kite-based propulsion and an additional diesel engine to bridge port trips and wind lulls.

In this project, we develop with CargoKite a new type of collision avoidance and control system for real-time control and operation at autonomy level 3 as defined by the International Maritime Organization (IMO 1). The control system to be developed will almost completely avoid collisions and maximize efficiency through innovative AI-based movement and maneuver planning. For the first time, innovative machine learning concepts, such as “shadow learning”, are being used. Appropriate interfaces are also being developed for the new control system so that, in addition to its use in the CargoKite container ship, a stand-alone package is created that can also be used for other wind-powered and purely motor-powered ships and will be marketable as an independent product. The new system to be developed will be tested and optimized with an existing CargoKite ship prototype in real operation.

Previous Work

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530091

https://mediatum.ub.tum.de/doc/1687691/ltbbjgwihiht96fqfeblxdyj7.ITSC22_CommonOcean.pdf

Job Specifications

• For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics).
• For Postdoc applicants: Excellent track record in computer science or engineering.
• Fluency in spoken and written English is required.
• Proficient in at least one programming language, e.g. MATLAB, C/C++, Python.
• Highly motivated and keen on working in an international and interdisciplinary team.
• Applicants with strong background in the following fields are preferred:
  • Dynamical Systems
  • Control Theory
  • Formal Methods
  • Machine Learning

Context

The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing-matthias-althoff/). Besides excellent skills for conducting innovative science, the candidate should also be talented in implementing research results on a real ship and lead teams of students.

Our Offer

PhD remuneration will be in line with the current German collective pay agreement TV-L E13 (around 4600 Euros/month in the first year, 4900 Euros/month second year). The Technical University of Munich is an equal opportunity employer committed to excellence through diversity. We explicitly encourage women to apply and preference will be given to disabled applicants with equivalent qualifications.

Contact

International candidates are highly encouraged to apply. Please submit your complete application (in English or German) via our application form: https://wiki.tum.de/display/cpsforms/Ph.D.+Application. Fill out all mandatory fields (*) and kindly use “Safe Autonomous Ships” as the “Title of Position”. Please do not include a cover letter.

Further similar job offerings will be announced on https://www.ce.cit.tum.de/cps/open-positions/.

Kontakt: michael.eichelbeck@tum.de

A-PECS at the Department of Bioscience Engineering in the Faculty of Science is looking for a full-time (100%) postdoctoral researcher in the field of bio-electrochemistry.

The overall goal of this project is to develop novel biosensing strategies that will pave the way to the construction of affordable, robust, and user-friendly biosensors. The main focus will be on amplified singlet oxygen-based photoelectrochemistry to detect nucleic acid-based biomarkers in healthcare applications (e.g. cancer diagnosis and infectious disease diagnostics). This project will contribute to the efforts of getting insight into yet unexplored biosensing and signal amplification strategies.

Position

• You will carry out high-quality scientific research and develop novel electrochemical sensing strategies for nucleic acid detection.
• You will develop new research projects according to the strategic plan of the research group A-PECS and you compete for externally funded research grants.
• You will report on the results of your research and produce academic publications.
• You will assist in ongoing research projects and the activities of the research group.
• You will contribute to attracting national and international research funding.
• You will assist in the supervision of PhD students and other team members.
• If necessary, you will fulfill a limited number of teaching activities.
• You will participate in the provision of academic services: you will represent the research group both internally and externally.
• You explore the market potential of your work.

Profile

• Applicants are expected to hold a PhD іn chemistry, chemical engineering or bioscience engineering, or equivalent competences gained through prior work experience.
• You can submit outstanding academic results, with publications in high-impact journals.
• Excellent writing and communication skills in English аrе key assets.
• Expertise in bio- and/or photoelectrochemical sensor development is a plus.

What we offer

• A full-time appointment as a postdoctoral scholarship holder for a period of 12 months, renewable after positive evaluation;
• multidisciplinary research;
• an exciting research environment with state-of-the-art instrumentation.
• Your gross monthly salary is calculated according to the pay scale for a principal research fellow in the Contract Research Staff category (Dutch: Bijzonder Academisch Personeel, BAP).
• You will receive ecocheques, an internet-connectivity allowance, a group insurance, an income protection insurance, and a bicycle allowance or a full reimbursement of public transport costs for commuting.
• The start date can be discussed.
• Find out more about working at the University of Antwerp here.

Want to apply?

• You can apply for this vacancy through the University of Antwerp’s online job application platform until a candidate has been selected. Click on the ‘Apply’ button, complete the online application form and be sure to include the following attachments: 1) a detailed CV (including honours, grades, skills, publications, …), 2) contact info of two references together with 3) a strong motivation letter, and 4) a weblink to a short video introducing yourself.
• The selection committee reviews new applications on a bi-weekly basis. If you are eligible after review, you will be invited for an interview.
• If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be. If you have any questions about the job itself, please contact karolien.dewael@uantwerpen.be.

The University of Antwerp received the European Commission’s HR Excellence in Research Award for its HR policy. We are a sustainable, family-friendly organisation which invests in its employees’ growth. We encourage diversity and attach great importance to an inclusive working environment and equal opportunities, regardless of gender identity, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.

Are you interested in learning more? Read about Umeå university as a workplace

The project investigates how evolutionary divergence between two closely related hare species (Lepus timidus and Lepus europaeus) leads to differences in cell cycle dynamics and regulation at both physiological and molecular levels. The work integrates core molecular and cell biology methods with advanced live-cell confocal imaging, single-cell ATAC-seq, and nascent RNA transcriptomics. You will lead this development with the support of the team and co-inventor Mikael Marttinen. A doctoral researcher will assist you experimentally, and additional support for both data analysis and wet-lab validation will be provided by our Joensuu collaborators.

The project seeks to uncover mechanisms linking life history strategies and cell cycle regulation. While relevant to species conservation, the findings are also expected to contribute to cancer biology and the understanding of cellular senescence.

REQUIREMENTS 

A successful candidate holds a Ph.D. with demonstrated expertise in single-cell analysis and has proven ability to independently conduct molecular biology and cell culture experiments.

The position also requires:

• Good English language skills
• Ability to independently conduct systematic scientific research
• Ability to work in a team and communicate clearly in a multidisciplinary and international environment

Tampere University is a unique, multidisciplinary, forward-thinking and evolving community. Our values are openness, critical thinking, diversity, learner-centeredness, courage, erudition and responsibility. We hope you can embrace these values and promote them in your role.

WE OFFER 

The positions will be filled for a fixed-term period of 16 months, with the possibility of contract extension. The starting date will be mutually agreed, but no later than autumn 2025. A trial period of six months applies to all our new employees.

The salary will be based on both the job requirements and the employee’s personal performance in accordance with the Finnish University Salary System. A typical starting salary for a Postdoctoral Research Fellow is 3800-4000 EUR per month.

Tampere University offers many benefits to its employees, e.g. occupational health services, flexible working hours, high-quality sport services and affordable lunch opportunities on campus. Please read more about working at Tampere University. You can also find more information about us and working and living in Tampere by watching Tampere Higher Education Community – our academic playground.

Tampere region is one of the fastest growing city areas in Finland. Tampere is the largest inland city in the Nordic countries and a traditional centre of the Finnish industry. Today, the city is best known for its high-tech expertise and extensive know-how in various fields. Tampere is also the most popular city in Finland for higher education studies

HOW TO APPLY 

Please submit your application through our online recruitment system (link below). The closing date for applications is September 20th 2025 at 23:59 (EEST / UTC+3). Applications and all accompanying documentation must be in PDF format and written in English.

The following documents should accompany your application:

• A CV
• A motivation letter (max. 1 page)
• A list of publications (max. 1 page)

Shortlisted candidates (2-3) will be invited to an online interview.

For questions and more information, please contact: 

Dr. E. Dufour, eric.dufour@tuni.fi.

We are seeking a highly motivated Postdoctoral Research Fellow to join the ISE group, as part of the Research Council of Finland funded CELIOMICS research project.

Publications: https://pubmed.ncbi.nlm.nih.gov/?term=viiri+k&sort=date

Celiac Disease Research Center (CeliRes): https://research.tuni.fi/celires/

Postdoctoral Research Fellow Position – Celiomics Project

We are seeking a postdoctoral research fellow to join our multidisciplinary team focused on celiac disease research. The successful candidate will primarily analyze RNA-sequencing and other multiomics data generated in the CELIOMICS project and from celiac disease drug trials. This work will follow the principles of discovery science, aiming to generate novel hypotheses from complex datasets.

Key responsibilities include:

• Performing integrative analysis of multiomics data (e.g., RNA-seq, ChIP-seq) to uncover new biological insights.
• Participating in the coordination of a project to establish an intestinal organoid biobank derived from celiac disease patients in the Tampere area.
• Conducting and supervising laboratory experiments, including:
  • Treating intestinal organoids with candidate drugs.
  • Infecting organoids with enteric viruses.
  • Performing gene expression and epigenetic profiling using advanced sequencing methods.

• Providing regular updates on discoveries and data analyses to the PI

• Optionally engaging in in vivo studies using transgenic mouse models of celiac disease pathogenesis.

This role offers a unique opportunity to work at the intersection of computational biology, experimental science, and clinical research, contributing to the development of novel therapeutic strategies for celiac disease.

Requirements 

We are seeking outstanding candidates who have a track record of internationally significant research in molecular biology.

Required Qualifications

• PhD in a relevant field, such as molecular biology, bioinformatics, biotechnology, or a related discipline.
• Experience with RNA-seq and/or ChIP-seq data analysis, including familiarity with relevant bioinformatics tools and pipelines.
• Strong background in molecular biology techniques, especially in gene expression and epigenetic analysis.
• Hands-on experience with 3D cell culture systems, such as intestinal organoids.
• Familiarity with multiomics data integration and hypothesis generation using discovery science approaches.
• Excellent written and verbal communication skills in English.
• Ability to work independently and collaboratively in a multidisciplinary research environment.

Preferred Qualifications 

We welcome applicants with a range of experiences. These are considered advantageous, but not all are required

• Experience with coordinating biobank or clinical sample collection projects.

• Knowledge of celiac disease biology or gastrointestinal immunology.
• Experience with enteric virus infection models.
• Familiarity with transgenic mouse models and willingness to perform animal work (with appropriate certification).
• Proficiency in R, Python, or other statistical programming languages used in omics data analysis.
• Prior experience in supervising students or junior researchers.

Tampere University is a unique, multidisciplinary, forward-thinking and evolving community. Our values are openness, critical thinking, diversity, learner-centredness, courage, erudition and responsibility. We hope you can embrace these values and promote them in your role.

We offer 

We invite you to be a part of our research team as well as an active, internationally renowned research community at Faculty of Medicine and Health Technology  and part of the EU-funded ENT1DEP consortium. University and its higher education community offer a unique multidisciplinary environment for research and education. A probationary period of six months applies to all our new employees. The duration of this position is initially for two years (continuation might be possible).

Salaries are based on the job demands level and personal performance appraisal according to the Finnish University Salary System. Postdoctoral Research Fellow is placed on the job demands level 5 (teaching and research staff category). In addition, salary includes a personal performance component. The start date is negotiable, but should not be later than October 2025

Finland offers one of the most advanced and comprehensive social security benefits in the world, including personal and family health care and a variety of family benefits. The Finnish educational system is renowned worldwide. For more information on Finland, please check InfoFinland and This is Finland.

Please read more about working at Tampere University. You can also find more information about us and working and living in Tampere by watching Tampere Higher Education Community – our academic playground.

How to apply 

Please submit your application through our online recruitment system (link below). The closing date and time for applications is 7 September 2025 at 23:59 (UTC +3). 

Please write your application and all accompanying documents in English and attach them in PDF format. Applications should include the following documents:

1. Curriculum Vitae (according to Finnish Advisory Board on Research Integrity guidelines)
2. List of publications in international, peer-reviewed and indexed scientific journals  (according to the Academy of Finland guidelines). Please indicate your most important publication/s and include hyperlinks to these publications. If the publications indicated are not found by link, please attach them to application as a separate PDF attachment.
3. Cover letter explaining why you are applying to the position and why you would be particularly suited to it.
4. The names, positions and contact details (institutional email addresses) of two professional references who can support your application.

Candidates may be invited to a video interview during the recruitment process. Shortlisted candidates will be invited to an interview.

For more information about the position, please contact:

PI Keijo Viiri, keijo.viiri@tuni.fi; +358 40 5549 648

We are seeking two talented and motivated postdoctoral researchers to develop soft materials and their experimental and sustainable research methods for biomedical and toxicological studies. Although one of the candidates will mainly work under the Faculty of Medicine and Health Technology (MET), and the other under the Faculty of Engineering and Natural Sciences (ENS), we emphasize and expect research collaboration between the faculties due to the multidisciplinary nature of the project. The candidate’s research topic will be determined by the chosen project topic.

A list of available research topics can be found here. Please familiarize yourself with the available research topics and choose one topic on the drop-down list when submitting your application. The precise research topic to work on can be decided based on the candidate’s research background and interests, however, in such a way that the three key areas of the SUSBIO project presented above are addressed.

In addition, data analysis, writing publications and research reports as well as funding applications and disseminations to the wider community will be needed. Furthermore, the job includes collaboration with research colleagues and support staff, both internally and within external networks. The candidate should also provide guidance and support to students, contribute to relevant teaching activities, and participate in scientific meetings.

Requirements

We are looking for versatile and independent researchers with an applicable doctoral degree and a solid background in materials science, chemistry, toxicology, and/or cell or molecular biology related to soft materials. The doctoral degree must be completed at the time of application (i.e. no later than September 15^th, 2025). Candidates with proven ability to supervise M.Sc. and Ph.D. students will be considered an advantage. The position may also involve a small amount of teaching duties in the future. The position also requires that the candidate can meet the responsibilities identified in laboratory and ethical guidelines. Finally, good communication skills and fluency in English (both written and oral) will be considered important for the position. Please describe your relevant experience and skills in detail in the cover letter, and please be prepared to provide proof of your merits when requested.

Tampere University is a unique, multidisciplinary, and boldly forward-looking community. Our values are openness, diversity, responsibility, courage, critical thinking, and learner-centeredness. We hope that you can embrace these values and promote them in your work.

We offer

The two positions are filled for a fixed-term period of three years. We hope that you can start in the position on January 1^st, 2026. A six-month trial period applies to all new employees.

Salaries are based on job demands and employees’ personal performance in accordance with the salary system of Finnish universities.  The position of a Postdoctoral Researcher is placed on the job demands levels 5-6 (teaching and research staff). A typical starting salary of Postdoctoral Researcher is around 3600 EUR/month.

We offer you the opportunity to join our dynamic and innovative international community. As a member of the dynamic and innovative international community of Tampere University, you will have access to a range of competitive benefits, including occupational health care services, flexible work schedules, versatile research infrastructure, modern teaching facilities, and a safe and inviting campus area. You will also have a personal fund to spend on sports and cultural activities during your free time. Please read more about working at Tampere University. You can also find more information about us and working and living in Tampere by watching our video:  Tampere Higher Education Community – our academic playground.

Tampere is the largest inland city in Finland and is considered a major academic hub in the Nordic countries. The region is home to a vibrant, knowledge-intensive entrepreneurial community, and the city is an industrial powerhouse with a rich cultural scene and a reputation as a centre of Finland’s information society. Additionally, Finland is known for being one of the most stable, free, and safe countries in the world, based on various ratings by prominent agencies. Tampere is surrounded by stunning nature, with forests and lakes offering countless opportunities for easy-to-access outdoor adventures and refreshments throughout the year.

Read more about Finland and Tampere:

• Visit Finland 
• This is Finland 
• Ministry of Economic Affairs and Employment: Welcome to Finland
• Visit Tampere

How to apply

Please submit your application through our online recruitment system (link provided below). The closing date for applications is September 15th, 2025 (at 23.59 EEST, UTC+3). All application materials, including the accompanying documentation, should be written in English, and attached in PDF format.

Please ensure that your application includes the following separate documents:

• Curriculum Vitae according to TENK guidelines
• List of publications according to Research Council of Finland guidelines
• References from two individuals
• Cover letter, which should include a brief introduction of the applicant, previous research experience, future plans, and research ambitions (what the candidate wants to study and how it relates to SUSBIO)
• When submitting your application at our online recruitment system, please choose one research topic from the list and justify how your own background fits into this project.

Please note that incomplete applications will not be considered. We do not accept any application letters or attachments by e-mail. Attach the requested documents to your application via the Laura recruitment system. If you have any questions regarding the application process or the position, please do not hesitate to contact us using the contact details provided in the job advertisement.

We look forward to receiving your application and thank you for your interest in joining our dynamic and innovative community at Tampere University.

For further information, please contact:

Prof. Arri Priimägi, arri.priimagi@tuni.fi

Prof. Minna Kellomäki, minna.kellomaki@tuni.fi

Coordinator Jennika Karvinen, jennika.karvinen@tuni.fi

For questions regarding the application process, please contact HR Specialists lilli.sarasvirta@tuni.fi, tuula.jaakola@tuni.fi.

The group recently obtained proof-of-concept funding for the optimization of protein-based liquid foams using a combination of computational and experimental approaches. The multidisciplinary framework with national and international collaborators is used to build a molecular model for the organization of proteins at the air–liquid interface in the foam. Next, this knowledge is used to design point mutations which would alter the properties of the foam. These designed protein variants are then produced by the collaborating team at VTT Technical Research Centre of Finland, followed by experimental validation of their performance.

Your tasks will involve coordinating the daily work on the project; designing, performing and analyzing simulations; communicating with the collaborators; supervising the doctoral researcher working on the project; preparing manuscripts for publication; and disseminating the findings at meetings and conferences. A doctoral researcher (PhD student) will also be hired to work exclusively on the project.

Requirements

You should have a PhD degree in physics, chemistry, biosciences, or a related subject area, preferably with a solid background in molecular dynamics simulations (e.g., GROMACS) and at least basic knowledge of programming (e.g., Python). The demonstrated ability to develop simulation or analysis tools, to use AI tools to predict the conformational ensembles of proteins, or to apply machine learning methods to simulation data are considered major advantages.

You are expected to be able to work independently, supervise the work of students, and potentially contribute to the teaching activities of the unit. You should be fluent in spoken and written English. International experience and networks are also appreciated.

Tampere University is a unique, multidisciplinary and boldly forward-looking, evolving community. Our values are openness, diversity, responsibility, courage, critical thinking, erudition/ Bildung, and learner-centredness. We hope that you can embrace these values and promote them in your work.

We offer

The position offers a unique opportunity to develop a research idea towards applications and establish a new line of multidisciplinary research. The project is supported by a network of experimental collaborators as well as the protein services team at VTT.

The position will be filled for a fixed-term period of 2 years, starting in the spring of 2026. The start date is flexible and negotiable. A trial period of six months applies to all our new employees. In case the proof-of-concept phase of the project is successful, extensions to the project are possible either within academia or through commercialization efforts (such as research to business funding).

The salary will be based on both the job requirements and the employee’s personal performance in accordance with the Finnish University Salary System. The position of a Postdoctoral Researcher is placed on the job demands levels 5–6 (teaching and research staff). A typical starting salary of Postdoctoral Researcher is around 3800–4000 EUR/month.

The BioInterfaces group is part of the Computational physics laboratory, which hosts 8 active research groups covering topics in biophysics, quantum matter, complex systems, novel materials, nanostructures, electronic structure and interdisciplinary challenges in medical technologies and physiology. The BioInterfaces group collaborates with numerous computational and experimental groups nationally and internationally. The group has access to the exceptional computational resources hosted by CSC–IT Center of Science in Finland.

We offer you the opportunity to join our dynamic and innovative international community.  As a member of staff at Tampere University, you will enjoy a range of competitive benefits, such as occupational health care services, flexible work schedule, versatile research infrastructure, modern teaching facilities and a safe and inviting campus area as well as a personal fund to spend on sports and cultural activities in your free time. Please read more about working at Tampere University. You can also find more information about us and working and living Tampere by watching our video: Tampere Higher Education Community – our academic playground.

Finland is among the most stable, free and safe countries in the world, based on prominent ratings by various agencies. Tampere is the largest inland city of Finland, and the city is counted among the major academic hubs in the Nordic countries. Tampere region is the most rapidly growing urban area in Finland and home to a vibrant knowledge-intensive entrepreneurial community. The city is an industrial powerhouse that enjoys a rich cultural scene and a reputation as a centre of Finland’s information society. Tampere is also surrounded by vivid nature with forests and lakes, providing countless opportunities for easy-to-access outdoor adventures and refreshment throughout the year.

Read more about Finland and Tampere:

• Visit Finland
• This is Finland
• Ministry of Economic Affairs and Employment: Welcome to Finland
• Visit Tampere

How to apply

Please submit your application through our online recruitment system. The closing date for applications is [September 15^th, (23:59 EET / UTC +2)]. Please write your application and all accompanying documents in English and attach them in PDF format.

Applications should include the following documents:

• Curriculum Vitae including the list of scientific publications
• Contact information of 1–2 people that can be contacted for references
• Motivation letter in free form (max 2 pages) describing your skills and competencies relevant for the work on protein-based foams.

For more information, please contact:

Assistant Professor, Group Leader Matti Javanainen, tel. +358 50 411 55 227, matti.javanainen (at) tuni.fi

We expect the succesful candidate to be able to contribute to two different but related research projects, with the following titles:

• Density functional theory and multiscale modelling of defects in ferromagnets
• Modelling surface chemistry and defects in quantum devices

Your tasks will include carrying out high-quality research on the above topics as well as participating in the supervision of doctoral researchers working within the Quantum Doctoral Pilot Programme. In addition, according to the practices of the Physics Unit, postdoctoral research fellows should dedicate approx. 5% of their working time for teaching.

At Tampere University, we value diversity and inclusion. We welcome applications from all qualified candidates, regardless of nationality, religion, gender, gender identity or expression, sexual orientation, disability, or age. We are proud to be an equal opportunity employer.

Requirements

You should have a doctoral degree in physics or a related field, and a solid background in scientific research on topics closely related to the project topics described above. You are expected to be able to work independently, supervise the daily work of students, and contribute to the teaching activities of the Physics Unit. You should be fluent in spoken and written English. International experience and networks are also appreciated.

We offer

The positions will be filled for a fixed-term period of 1,5 years. The start date should be as soon as possible (during fall 2025). A trial period of six months applies to all our new employees.

The salary will be based on both the job requirements and the employee’s personal performance in accordance with the Salary system of Finnish universities. The position of a Postdoctoral Researcher is placed on the job demands levels 5-6 (teaching and research staff). A typical starting salary of Postdoctoral Researcher is around 3600 – 4200 EUR/month.

We are inviting you to be a part of a vibrant, active, and truly international research community. The multidisciplinary research environment offers opportunities to develop research expertise via collaboration, e.g., with different fields of engineering and natural sciences. We are offering an advanced research infrastructure in these areas, including the exceptional computational resources hosted by CSC-IT Center of Science in Finland.

We offer a wide range of staff benefits, such as occupational health care, flexible working hours, excellent sports facilities on campus and several restaurants and cafés on campus with staff discounts. Please read more about working at Tampere University.

The city of Tampere is one of the major academic hubs in the Nordic countries and offers a dynamic living environment. Finland provides one of the most advanced and comprehensive social security systems in the world with generous parental leaves, very affordable state-subsidized daycare that is available for all children, world-renowned free primary and secondary education as well as public healthcare.

Read more about Finland and Tampere:

• Visit Finland
• This is Finland
• Ministry of Economic Affairs and Employment: Welcome to Finland
• Visit Tampere

How to apply

Please submit your application through our online recruitment system (link below). The closing date for applications is September 4th, 2025 (23:59 EET / UTC +2).

Please write your application and all accompanying documents in English and attach them in PDF format. Applications should include the following documents:

• A letter of application in which you set out the reasons why you are applying for the position and why you are particularly suited to it. Please also describe your previous research work, as well as future goals.
• Curriculum Vitae according to TENK guidelines
• List of publications according to Research Council of Finland guidelines. Please indicate your ten most important publications.
• The names, positions and contact details of two referees who can support your application (Recommendations letters etc. are not asked at this point)

Candidates may be invited for a video interview during the first stage of the recruitment process. The most qualified candidates will be invited to an interview, either on-site or remotely.

For more information, please contact:

Prof. Lasse Laurson, lasse.laurson(at)tuni.fi

We are recruiting one Postdoctoral Researcher (2y) to join our team.

What you will be working on:

The project
The rapid growth of artificial intelligence (AI) has led to increased energy consumption in data centers, raising concerns about carbon emissions. To address these challenges and support sustainability goals, the project DecAI aims to decarbonize AI through long-term impact assessment and optimization. The goal is to develop a framework to estimate carbon emissions across AI’s development, operation, and use. This framework enables stakeholders, such as AI providers and data center operators, to evaluate and compare scenarios to reduce emissions. The framework will be released as a software tool to guide emissions reduction strategies. The project aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits for the electricity grid. By addressing AI’s entire lifecycle, DecAI offers a holistic approach to reducing carbon emissions.

Your role
You will work closely with our team on tasks to:

• Identify and evaluate carbon metrics for reducing the environmental impact of AI and cloud computing
• Empirically evaluate different parts of the AI lifecycle, including development (training), operation (inference) and use
• Develop methodologies to estimate the long-term impact of AI on carbon emissions and other environmental indicators
• Build a software framework to quantify the long-term environmental impact of AI and cloud computing

This project will enable building expertise in AI, cloud computing, networking technologies and energy systems (electricity markets, energy metrics, carbon metrics). Your work will often be interdisciplinary and require close cooperation with other research groups.

The position requires

• PhD in computer science, engineering, or a related field
• Excellent research track record in AI and sustainability or cloud computing
• Merit: Experience in estimating, measuring or optimizing energy and / or carbon emissions in networked systems
• Merit: Understanding of the environmental impact of hardware used for AI and / or cloud computing
• Ability to provide guidance and mentorship to doctoral researchers, and collaborate with diverse research groups

What we offer
You will become a part of the Cloud and Network Computing group, headed by assistant professor Gopika Premsankar. Our group is dedicated to advancing research in networked systems, primarily focused on lowering the environmental footprint of such systems while enhancing sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work closely with collaboration partners within Finland and internationally in the USA, Netherlands and Germany. There are opportunities for research visits to strengthen collaboration with leading experts in this field.

You will receive a competitive salary, approximately 4100 EUR / month. The contract includes comprehensive occupational health benefits.

Application documents
To apply, please share the following application materials (as PDFs) with us through our recruitment site (“Apply now!”):

• A CV
• A short letter of motivation, at most 1 page, which describes your interest and motivation (please try to include details that are not part of your CV and emphasize how you address the requirements listed above)
• List of publications with two key publications highlighted. Please describe in a short paragraph the relevance of the highlighted publications to the project.
• Sample code, preferably on a code repository. Provide a URL and describe in one paragraph your role in developing the software.
• Names and email addresses of two reference providers. They will be contacted directly at a later stage in the application process.
• Doctoral degree certificate (or information about defence, if defending soon)

Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions).

Application process
Please send your application as soon as possible, at the latest October 31st, 2025. We will go through applications, and we will hire the right candidate as soon as we find them, possibly already during the application period.

After a preliminary interview, you may be asked to submit a 2-page research plan detailing the specific research questions you aim to address. Although this happens at a later stage, it will be worthwhile to think about your research directions in relation to the DecAI already during the application process.

For more information about the open position, please contact Professor Gopika Premsankar, gopika.premsankar@aalto.fi. Please contact ELEC’s HR Advisor’s in questions related to the recruitment process, hr-elec@aalto.fi.

Why Finland and why this group
We hope you have a strong interest and an ambition to make meaningful contributions in improving the sustainability of networked systems. We also expect you to be goal oriented and working with focus towards the goals of the project. We are a young and growing team; there is some flexibility in defining your specific research goals and you will work closely with the PI and doctoral students in developing your research.

Aalto University provides a vibrant and collaborative environment. We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good transport connections.

Finland is a great place for living – it is a safe, politically stable and well-organized Nordic society. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland & https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.

The project

Our goal is to advance social AI, i.e. artificial agents capable of supporting us proactively or reactively in a range of virtual or embodied tasks. However, existing social AI and artificial agents more generally still struggle in delivering reliable support in situations that were not anticipated at design-time, and their decision-making processes may be hard to understand by interaction partners or operators. This project tackles these challenges by advancing Social Intrinsic Motivation (SIM), i.e. computational models of intrinsic motivation applied to the interaction of multiple agents.

Intrinsic motivation (IM), with curiosity being a well-known example, is crucial to human development, allowing us to acquire new knowledge and skills in the absence of specific tasks, and to adapt to new situations. Computational models of IM [*] inherit these properties, making artificial agents more independent of external instruction and allowing them to perform better in previously unknown tasks. Typically formalised in the framework of reinforcement learning, computational models of IM are not black boxes, which enables explanation of the emerging behaviour and supports trust by the AI’s designers and interaction partners.

SIM seeks to leverage the power of IM in the interaction of multiple agents. One example could be motivating an AI to optimise their partner’s intrinsic motivation, thus empowering them through its own behaviour. Pioneering work led to exciting findings such as emergent support of human interaction partners across tasks and without external instruction [1-4] or considerably improved cooperation within societies of artificial agents [5,6]. These are only few examples and what defines SIM is an open question – to be addressed in this project.

This project sets out to develop a better understanding of the space of possible SIM, to systematically develop new models informed by psychology, and to evaluate them through large-scale simulation and user studies. These models will then be applied in next-generation videogame AI [e.g. 1,2] as a stepping stone to other high-impact applications, and as a means to study the human mind. The project not only seeks to advance AI through a human-centric lens, but also to produce insights into how motivation guides social interaction, advancing research beyond computer science. The AIR group supports this through a track record of research on single-agent computational IM [e.g. 7], SIM [e.g. 3], and translational research with psychology [e.g. 8].

Related publications from the AIR group & collaborators (underlined):

[1] Guckelsberger, C., Salge, C. and Colton, S., 2016. Intrinsically motivated general companion npcs via coupled empowerment maximisation. In Proc. IEEE Conference on Computational Intelligence and Games (CIG).

[2] Guckelsberger, C., Salge, C. and Togelius, J., 2018. New and surprising ways to be mean. In Proc. IEEE Conference on Computational Intelligence and Games (CIG).

[3] Guckelsberger, C., “Coupled Empowerment Maximisation (CEM)”. In: Guckelsberger, C., 2020. Intrinsic Motivation in Computational Creativity Applied to Videogames. PhD Thesis. Queen Mary University of London.

[4] Salge, C. and Polani, D., 2017. Empowerment as replacement for the three laws of robotics. Frontiers in Robotics and AI, 4.

[5] van der Heiden, T., van Hoof, H., Gavves, E. and Salge, C., 2022. Reliably Re-Acting to Partner’s Actions with the Social Intrinsic Motivation of Transfer Empowerment. In Proc. ALife, 2022.

[6] Jaques, N., Lazaridou, A., Hughes, E., Gulcehre, C., Ortega, P., Strouse, D.J., Leibo, J.Z. and De Freitas, N., 2019. Social influence as intrinsic motivation for multi-agent deep reinforcement learning. In Proc. ICML.

[7] Lintunen, E.M., Ady, N.M. and Guckelsberger, C., Diversity Progress for Goal Selection in Discriminability-Motivated RL. In Intrinsically-Motivated and Open-Ended Learning Workshop@ NeurIPS2024.

[8] Lintunen, E.M., Ady, N.M., Deterding, S. and Guckelsberger, C., 2025. Towards a Formal Theory of the Need for Competence via Computational Intrinsic Motivation. In Proc. CogSci 2025.

[*] An overview of computational IM with further references.

Your role and goals

The doctoral researcher and postdoc will closely work together and support each other on the:

• Implementation of new, scalable SIM models

• Design of large-scale simulation and user studies

• Development of groundbreaking videogame AI applications based on these models

• Tasks that support the group’s understanding of SIM, such as systematic reviews of existing work, participation in reading groups, etc.

Candidates will have opportunities to leverage any prior expertise or special interests in computational IM throughout the project, and especially in the development of new SIM models.

Candidates should moreover invest 5-10% of their time to develop their skills in co-supervising BSc/MSc thesis and/or teaching. The postdoc may be given the opportunity for doctoral co-supervision.

Your experience and ambitions

As the ideal candidate, you should be smart, open-minded and independent while being capable and interested in collaborative work within the group and beyond. More specifically, you should demonstrate:

Doctoral Researcher: 

• Experience (e.g. projects, coursework) in reinforcement learning

• Interest in computational intrinsic motivation

• Openness to conducting qualitative/quantitative user studies

• Merit: Interest in videogames / knowledge of game AI

• Merit: Interest in (social) psychology

Postdoc: 

• Excellent research track record in reinforcement learning

• Demonstrated expertise in computational intrinsic motivation

• Merit: Existing expertise in multi-agent reinforcement learning

• Merit: Interest in (social) psychology

Your network and team 

You will become part of the AIR group (www.autotelic.science) and benefit from close interaction with other doctoral and postdoctoral researchers, covering a diverse range of topics within computational IM and adjacent fields such as intrinsically motivated skill diversity, artificial curiosity, computational creativity and the human perception of AI creativity. You will be supervised by group lead Asst. Prof. Christian Guckelsberger.

Beyond the group, you will be able to interact with the project’s interdisciplinary collaborators (Prof. Daniel Polani & Dr. Christoph Salge; University of Hertfordshire) and mobility partners (Prof. Natasha Jaques, Univ. of Washington; Prof. Sebastian Deterding, Imperial College London; Prof. Julian Togelius; New York University), who are leading experts in their respective areas.

More widely, you will benefit from the rich AI ecosystem at Aalto and the University of Helsinki, e.g. taking part in events hosted within the Finnish Center for Artificial Intelligence (FCAI, fcai.fi) and ELLIS institute Finland, a new hub bringing together the best AI talent in Europe as part of the European Laboratory for Learning and Intelligent Systems (ELLIS, ellisinstitute.fi).

What we offer

You will become part of a young and inclusive research group and receive a competitive salary:

• Postdoc: 4037,49-4218,12 Euro / month, depending on experience

• Doctoral researcher: 2747,07-3424,16 Euro / month, depending on PhD progress.

You can use this tool to calculate your net income.

The successful candidates will receive additional funding to regularly attend international conferences and join the PI on research mobility to broaden their networks and further promote their work.

The contract moreover includes comprehensive occupational health benefits, in addition to membership in Finland’s social security system. Aalto University’s main campus is located 15 min from downtown Helsinki and surrounded by nature. Helsinki offers excellent flight connections to destinations around the world.

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland offers a high quality of life and has been ranked as the happiest country on earth for eight years consecutively (report). You can find more information about living in Finland here.

Ready to apply?

To join our community, please submit your application through our recruitment system Workday. There is no deadline to this application (please ignore the ‘application closes on’ above): the position will be filled as soon as a suitable candidate has been identified, and this page will be updated accordingly.

To apply, please upload the following materials in a single pdf file:

• Motivation letter (at most 1 page)

• Up-to-date CV

• Doctoral researchers: study transcript

• Postdocs (and doctoral researchers, if applicable): publication list with 1 key publication highlighted. Please briefly (1 paragraph) motivate the relevance of the latter for these positions.

Please do not hesitate to contact us with any questions about your (potential) application before submitting. We will first collect applications; please do not expect an immediate reply to your application.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> find jobs (not external aalto.fi webpage on open positions) by using their existing Workday user account.

Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.

Further information

• Asst. Professor Christian Guckelsberger: email “firstname.lastname@aalto.fi” (for research related questions), social media: @creativeEndvs (Bluesky), creativeEndvs@sigmoid.social (Mastodon).

• Autotelic Interaction Research (AIR) group: www.autotelic.science

• HR Advisor Susanna Holma, e-mail “hr-cs@aalto.fi” (for questions on the recruitment process and Aalto more generally)

About Aalto University / Aalto Computer Science

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, Finland, 15 minutes from downtown Helsinki. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several international surveys (7th in Europe and 1st in the Nordics, NTU 2023; and top 100 worldwide in Times Higher Education subject ranking 2025).

Want to know more about us and your future colleagues? Here’s some resources:

• Web: aalto.fi.

• Bluesky: @aalto.fi

• Facebook: facebook.com/aaltouniversity

• Instagram: instagram.com/aaltouniversity

• Video: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future.

• Webpage about Aalto and Finland. https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package

• Check out our new virtual campus experience: https://virtualtour.aalto.fi/ !

#LI-DNI

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.

Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer]

to a postdoctoral-level position. The desired start dates would be as soon as possible in 2025.

Are you more of a programmer than your researcher colleagues?  Are you more of a researcher than commercial developers?  Do you want a career that involves research and science but isn’t the academic tenure track?  The Academic Research Software Engineer position is your next step on that path.

This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path.  You will be involved in research, but more focused on learning and improving how computing, workflows, and data are used in research than finding your own novel research results and publishing them.

You will work in a research group and be affiliated with Aalto Scientific Computing (ASC).  You’ll serve as an intermediary between the two.  Compared to the staff of ASC, you will be directly based in a research group, much more involved in day-to-day research, follow projects for a much longer period, and more involved in publications.  Compared to a typical academic position, you will have a joint affiliation with ASC and get extra training in research engineering.  There will be less emphasis on novel results for the sake of novelty, and more on applying and developing best practices in the way the research is done.

In this position, you will:

• Serve as the local research software engineer for your research group(s) and improve the use of computing among all group members.
• Stay up to date with the latest HPC, AI, and general computing/data management practices, evaluate latest developments, and implement whatever is most suitable.
• Possibility to take part in publications as a research engineer.
• Provide one-on-one and group research support from a software, programming, Linux, data, and infrastructure perspective: short-term projects helping researchers with specific tasks, so that the researchers gain competence to work independently.
• Provide good role models of best open science practices.
• As needed and depending on interest, teaching and other research infrastructure support.

General qualifications: As expected for a computational-science postdoc or doctoral student position in your field, with a special focus on high-quality computation and data management

This particular call emphasizes general AI skills and interest to take part in MLOps, including (but not limited to) performance tracing for improved scalability, energy efficiency and fault tolerance in ML training / inference.  We seek to improve our AI and machine learning work by bringing in tools to assist in training and inference, integrated with our cluster.  You don’t need special knowledge already when applying – general knowledge of machine learning practices is enough, and you’ll learn more later.

Important skills:

• Desire to mentor and work with other researchers with understanding and compassion.
• Ability to tackle any problem with a researcher’s mindset and a developer’s passion for technology.
• Good communication and organizational skills, independent working style as well as flexibility in changing situations.
• Experience or knowledge of the principles of open source software, open science, and software development tools such as version control.
• Please see https://scicomp.aalto.fi/rse/become-a-rse/ for more information on what kind of skills we value – or more precisely what you are likely to learn.
• Good skills and experience in written, spoken, and collaborative work in English.

What we offer:

• A career path optimized for transition to industry.
• You will be affiliated with the dynamic Aalto Scientific Computing team, where you will learn from some of the best research IT specialists in Finland.
• Co-working within top-quality research groups, getting experience in a wide variety of fields and developing an extensive network of scientific contacts.  This includes contacts to the Aalto startup scene and community.
• A way to be close to the research process while focusing on interesting computational problems and not the publication process.
• Mentorship to improve your software, data, and computing skills – you are expected to engage in plenty of professional development.
• Open Source is our expectation.  All (or most) of your code may be open source and may be added to your public CV, depending on the needs of researchers.
• Fixed-term contract until 29.2.2028.
• All other standard benefits of Aalto as an employer: pleasant campus, occupational healthcare, a sustainable workplace, support and coaching, and robust opportunities for professional development.  Read more.

Salary will be according to the Aalto University pay scales for postdoctoral researchers.  The primary workplace is Otaniemi, Espoo (Helsinki region), Finland.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.

The positions are in the Department of Computer Science at Aalto University in Finland. You will be joining a larger group of researchers working on similar topics. The department has a strong community on related topics: research groups working on digital health and wellbeing,  network science, computational social science, and various topics in machine learning.

You will be working in the research group of one of the PIs of the projects, but in collaboration with the others. The PIs are Talayeh Aledavood, Juhi Kulshrestha, and Mikko Kivelä.

About the projects

Political polarization and mental health are deeply intertwined challenges of our time, with rising ideological divides and fragmented information ecosystems coinciding with increasing stress, anxiety, and declining well-being. Polarizing online content not only fuels division and erodes trust but also provokes emotional strain, amplifies loneliness, and threatens resilience. At the same time, mental health vulnerabilities can heighten individuals’ susceptibility to divisive narratives, creating a reinforcing feedback loop between societal fragmentation and personal well-being. Addressing this dual crisis requires a holistic, interdisciplinary approach that bridges computational social science and computational mental health to capture fine-grained behavioral data,  uncover underlying mechanisms,  and design interventions that reduce harm, promote healthier information consumption, and strengthen both individual and collective resilience.

1. POLEMIC: POLarization Entangled with Mental well-being: Integrated and Computational approach to quantifying the underlying feedback loop

The POLEMIC project investigates the dynamic entanglement of political polarization and declining mental well-being by integrating computational mental health and computational social science, using large-scale social media analysis, smartphone-based sensing, and agent-based modeling. Combining macro-level patterns with micro-level behavioral data, it will examine how polarized content influences stress, anxiety, depression, and loneliness, and how mental health vulnerabilities increase susceptibility to polarization. Leveraging network science, NLP, behavioral sensing, and causal inference, the project pioneers new methods for detecting and mitigating online harms. Its results aim to inform public health, policy, and technology design, promoting resilience and empowering individuals to understand and counteract their exposure to polarizing content.

2. PolWell: Mental Health & Wellbeing in the Age of Polarizing Web Content

The PolWell project investigates the fragmented information ecosystems and polarizing online content that deepens divides, provokes strong emotions, and reinforces biases by going beyond the previous research,  which has been limited to relying on biased self-reports and cross-sectional data. This project takes a novel, interdisciplinary approach, combining fine-grained web-browsing data, validated psychological scales, online experiments, and qualitative interviews to uncover both correlational and causal links between online polarization and a multidimensional perspective on mental health and wellbeing. Using advanced methods in statistical modeling, NLP, HCI, and experimental design, it will also test interventions, such as visual cues, to reduce harm and foster healthier browsing, delivering actionable insights for policymakers, mental health professionals, and platform designers.

Related publications from the projects’ research groups:

Belal, M., Luong, N., Aledavood, T., & Kulshrestha, J. (2025). Stress Bytes: Decoding the Associations between Internet Use and Perceived Stress. arXiv preprint arXiv:2505.15377.

Chen, T. H. Y., Salloum, A., Gronow, A., Ylä-Anttila, T., & Kivelä, M. (2021). Polarization of climate politics results from partisan sorting: Evidence from Finnish Twittersphere. Global Environmental Change, 71, 102348.

Aledavood, T., Luong, N., Baryshnikov, I., Darst, R., Heikkilä, R., Holmén, J., … & Isometsä, E. (2025). Multimodal digital phenotyping study in patients with major depressive episodes and healthy controls (mobile monitoring of mood): Observational longitudinal study. JMIR Mental Health, 12, e63622

Kacperski, C., Ulloa, R., Selb, P., Spitz, A., Bonnay, D., & Kulshrestha, J. (2025). Self-directed online information search can affect policy support: a randomized encouragement design with digital behavioral data. arXiv preprint arXiv:2501.03097.

Salloum, A., Quelle, D., Iannucci, L., Bovet, A., & Kivelä, M. (2025). Politics and polarization on Bluesky. arXiv preprint arXiv:2506.03443.

What we offer

– A key position in an ambitious research project with backing of research groups at the top of their fields
– Access to data and expertise related to the projects. The doctoral and postdoctoral researchers will work closely and support each other on the project tasks.
– An interdisciplinary team that already understands each other and is producing results
– Freedom and support to pursue your own research ideas
– An environment where we care about your career development. For example, receiving mentoring, training on large-scale computing, or possibilities of mentoring PhD/MSc students and teaching, if that is what you are looking for
– Opportunity to work in Finland, which is a safe, peaceful, and stable society. It is well-organized and has very little bureaucracy. English is our working language and is widely spoken in the country. Finland is a great place for living with or without a family. Overall, Finland offers a high quality of life. You can find more information about living in Finland here.  Many of our international alumni have decided to stay in Finland.
– Position in one or multiple of our research groups with highly diverse and international researchers

– Competitive salary: Postdoc: 4100 – 4300 Euro/month before taxes, depending on experience; Doctoral researcher: 2800-3500 Euro/month, depending on PhD progress. You can use this tool to calculate your net income.

The successful candidates will receive additional funding to regularly attend international conferences and join the PI on research mobility outside of Finland to broaden their scientific networks and further promote their work.

The contract, moreover, includes comprehensive occupational health benefits, in addition to membership in Finland’s social security system. Aalto University’s main campus is located 15 minutes from downtown Helsinki and is surrounded by nature. Helsinki offers excellent flight connections to destinations around the world.

Who are we looking for

As an ideal candidate, you should be motivated, open-minded, and independent while being capable and interested in collaborative work within the group and beyond. More specifically, you should demonstrate:

Doctoral researchers:

• Solid background in one of the following: computational social science, ubiquitous computing, data science, or human-computer interaction.
• Programming skills needed to do data analysis (we mainly use Python)
• You can be interested either in theoretical methods development or applications, or a bit of both
• Interest in working on a highly interdisciplinary project
• Interest in the topics of one of the two projects
• Bonus: Experience working with social media data, mental health, social networks, natural language processing, experiment design, or qualitative interviews
• Bonus: Knowledge of or enthusiasm for political science, psychology, or other fields related to the projects

Postdoctoral researchers:

• Excellent research track record in computational social science, digital health, or polarization *
• Demonstrated expertise in one (or more) of these fields: statistical methods, network science, content analysis, AI/ML, HCI, ubiquitous computing *
• Exemplary writing skills
• Bonus: Experience working with social media data, mental health, social networks, natural language processing, experiment design, HCI, qualitative interviews, behavioral sensing, digital phenotyping
• Bonus: Knowledge of or enthusiasm for political science, psychology, or other fields related to the projects

* We are hiring several people, so for each candidate, it is sufficient to have expertise in one of these fields only.  The hired team will complement each other’s expertise.

How to apply

To join our research community, please submit your application through our recruitment system, Workday. All applications received by September 22, 2025, will receive full consideration. We will consider applications after this deadline until the positions are filled.

To apply, please upload the following materials as pdf files:

• Motivation letter (at most 1 page) including answers to the following  questions: “How do your past studies/research work/publications fit these projects?”, “Are there any other factors that make you a good fit for this position?” and “Do you have any preference or limitations for the start date?”.
• Up-to-date CV +  link to Google Scholar (or similar) profile (not necessary for PhD applicants)
• Doctoral researchers: study transcript

Please do not hesitate to contact us with any questions about your (potential) application before submitting. We will first collect applications; please do not expect an immediate reply to your application.

Please note: Aalto University’s employees and visitors should apply for the position via our internal system Workday -> find jobs (not the external aalto.fi webpage on open positions) by using their existing Workday user account..

Aalto University reserves the right, for justified reasons, to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period.

Further information:

• Projects’ PIs  Talayeh Aledavood, Juhi Kulshrestha, Mikko Kivelä ( emails  “firstname.lastname@aalto.fi“) for research-related questions
• HR Advisor Susanna Holma, e-mail “hr-cs@aalto.fi” (for questions on the recruitment process and Aalto more generally)

About Aalto University / Aalto Computer Science

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with 14,000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, Finland, 15 minutes from downtown Helsinki. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community.

The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several international surveys (7th in Europe and 1st in the Nordics, NTU 2023; and top 100 worldwide in Times Higher Education subject ranking 2025).

Want to know more about us and your future colleagues? Here are some resources:

• Web: aalto.fi.
• Bluesky: @aalto.fi
• Facebook: facebook.com/aaltouniversity
• Instagram: instagram.com/aaltouniversity
• Video: Aalto University – Towards a better world, Aalto People , and Shaping a Sustainable Future.
• Check out our new virtual campus experience: https://virtualtour.aalto.fi/ !

To view information about Workday Accessibility, please click here.

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.

The Aalto University School of Business is the leading business school in Finland. The School belongs to the select group of business schools that have been granted the most important international quality accreditations in its field. It aspires to be among the best business schools in Europe in terms of research excellence, a portfolio of pioneering B.Sc., M.Sc., Ph.D., and executive education programs, and contributions to society.

The Department of Management Studies invites applications for

One Post-doctoral Researcher (fixed term – one year)

We are seeking a post-doctoral researcher for one year (100%) to join our research project on future landmark buildings (FUTULAND). This groundbreaking interdisciplinary research project is set to redefine our understanding of landmark buildings and their evolving significance. By pioneering a novel theoretical framework and advancing innovative research methods, the project aims to profoundly influence the development of future landmarks. Our empirical research focuses on corporate headquarters and museums. One of our current case studies is the upcoming Museum of Architecture and Design in Helsinki, which aims to “redesign the world” and is scheduled to open in 2030. Key focus areas of research include physical and digital place-making, leadership in place-making, and future-oriented methodologies. For more information, visit https://admuseo.fi/en/museum-2030/.

Our expectations

The post-doctoral researcher will play a pivotal role in revising the new proposal for the upcoming application rounds and initiating data collection efforts. They will work closely with the project team to design suitable research methods and manage other initial stages of data collection.

We seek scholars who have completed their doctoral studies in a relevant field (e.g. management studies, international business, social sciences, architecture, design). The ideal candidate will possess strong qualitative research skills, a broad understanding of sustainability issues, and a keen interest in architecture and design. Applicants should demonstrate the ability to conduct independent research and publish in high-quality scholarly journals. Fluent English is required, while fluency in Finnish is a merit.

The post-doctoral researcher is required to be in residence for the duration of the appointment. The starting date of the employment relationship can be negotiated, ideally commencing October 1st 2025 or shortly after.

What we offer

This post-doctoral researcher position is a fixed-term position for one year. The expected salary is approximately 4500 €/month (income before deduction of taxes), depending on experience and qualifications. As an employer, Aalto University provides excellent learning and development opportunities as well as occupational health care services, versatile exercise services and other employee benefits.

Our vast array of professional development opportunities means that you will grow and learn, having the chance to participate actively in staff trainings and development projects based on your interests and needs.

We work in a hybrid way, and the primary workplace is Otaniemi, Espoo. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line.

For more Information

For further information about this position, please contact Associate Professor Tiina Ritvala, tiina.ritvala@aalto.fi or in questions relating to the recruitment process, HR Partner Jenna Knuutinen, jenna.knuutinen@aalto.fi.

Join us!

If you want to join our community, please submit your application through our recruitment system Workday no later than September 12, 2025 at 23:59 EET (UTC+2). Aalto University’s employees should apply for the position by using their existing Workday user account. Please see how to do it here. Interviews of short-listed candidates will be held in late-September.

Your application should include all following documents.

• Cover letter
• Curriculum Vitae
• List of publications and working papers

Aalto University reserves the right for justified reasons to leave the positions open or to extend the application period.

About Finland

Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/en/careers-at-aalto/living-in-finland https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package

More about Aalto University:

Aalto.fi
youtube.com/user/aaltouniversity
linkedin.com/school/aalto-university/
www.facebook.com/aaltouniversity
instagram.com/aaltouniversity

To view information about Workday Accessibility, please click here.

Please see more of our Open Positions here.