Project description

Staveley Town Deal – The Staveley Town Deal is a programme of projects which cover the themes of Place, Health and Wellbeing, Innovation and Enterprise, and Inclusive Growth. Staveley, in North Derbyshire, was one of the 101 towns across England invited to make a Town Deal bid as part of the Government’s Towns Fund. The Staveley Town Deal was awarded £25.2m in March 2021. It includes a range of regeneration projects that will be delivered by March 2026 with and for the communities of the Staveley area. Key projects include: Barrow Hill Memorial Hall; Chesterfield Canal Restoration; Staveley Waterside; Wheels to Work; DRIIVe (Derbyshire Rail Industry Innovation Vehicle); Construction Skills Hub; Staveley 21; Hartington Industrial Park; Staveley Miners Welfare Football Club, Skills Academy. The overall aim of the programme is to ensure the area is “a place to start, stay and grow”.

Social Infrastructure – The concept of Social Infrastructure has found increasing resonance among local and national policymakers, researchers and urban planners, often in the context of programmes of local investment, regeneration and socio-economic development. Different definitions are used, though in the public policy arena Social Infrastructure tends to refer to “spaces, services and structures that support the quality of life of a nation, region, city or local community” (British Academy 2023). Social Infrastructure offers a useful framework to explore the links between physical spaces and community assets on the one hand, and processes of social connectedness, development and economic growth on the other (D’Angelo et al. forthcoming).

Purpose/objectives

The doctoral research – This sponsored PhD will undertake ‘Social Infrastructure’ research focusing on the town of Staveley. It will, firstly, map the extent and characteristics of local social infrastructure (assets, resources and sources of support) as an effect of the Town Deal programme and wider social and economic resources at community level. Secondly, and crucially, it will explore the potential for future social and economic development, identifying gaps and priorities for further community-level engagement, public interventions and private investments, for the pursuit of inclusive growth, social mobility and social cohesion. The study will need to employ a multi-stakeholder approach, assessing public, private and third sector resources, needs and priorities, as well as exploring diverse community experiences, perceptions and aspirations. The scope and aims of the project will require a multi-method, interdisciplinary approach, likely to combine quantitative and qualitative methods, with elements of geographical mapping and analysis of community networks.

The University of Derby is currently undertaking a Scoping Exercise which will produce a preliminary evidence base, further detail the required scope and aims of the study, and identify potential methodological approaches to be used for the PhD. This will form the starting point of the 3-year PhD study.

Project description

Philosophies of education form the foundation upon which we understand schools, curricula, teacher training, qualifications, and the relationship between general and vocational education. Implicitly, these philosophies are also embedded in educational practice, as pedagogical actions are evaluated against standards of professionalism, ethics and the common good – concepts that itself are a very product of philosophies of education. Despite their importance, educational philosophies often play an overlooked yet critical role within education systems.

The proposed doctoral research, therefore, addresses the different developments of English and German philosophies of education. These theories have evolved within distinct philosophical traditions shaped by socio-historical and political contexts. Germany’s educational thought, deeply influenced by neo-humanism, draws heavily on the work of Wilhelm von Humboldt. In contrast, the UK’s educational theory has been shaped by analytical philosophy, with significant contributions from thinkers such as John Dewey and later R.S. Peters (see Benner, 2003).

The role of Utilitarianism (Bentham) has also shaped modern conceptualisation of education, considering the moral implications of mass education and schooling. Later turn towards performativity and marketisation (Ball, 1994, 2003), underpinned by broader neo-liberal ideas, have also played an important role in the development of education.

As these traditions are influential still, this research will trace the genealogies of educational theory in both countries, offering a deeper understanding of their historical foundations as well as contemporary implications.

Purpose/objectives

This research investigates the development of English and German philosophies of education by addressing key questions about their historical trajectories, conceptual foundations, and contemporary relevance.

How have distinct philosophical traditions shaped educational thought in German and English?

What socio-historical and political contexts have influenced the evolution of their respective theories?

A comparative approach also raises broader questions about the role of educational philosophy in shaping professional and ethical judgments in pedagogical practice. To what extent do implicit philosophical assumptions influence educational decision-making?

Why do national traditions in educational philosophy rarely cross linguistic and cultural borders, and what are the implications of this for global educational discourse?

By addressing these questions, this research aims to uncover blind spots in both traditions and explore the potential for greater international dialogue in philosophy of education as not just the concepts but also the concept’s origins and socio-economic conditions are under investigation.

Potential project impact

This research contributes to the philosophy of education by offering a comparative genealogical analysis of German and English educational thought, uncovering the historical contingencies and power structures that have shaped their development.

By applying Foucauldian genealogy, the study challenges dominant narratives that present educational theories as neutral or universally valid, instead revealing how they have been shaped by socio-political forces and epistemological shifts.

Through its critical engagement with neo-humanism and analytical philosophy, the research highlights the ways in which different traditions have legitimised specific educational discourses while marginalising others, offering new insights into the ideological underpinnings of curriculum design, teacher training, and educational policy.

Additionally, by incorporating hermeneutic and deconstructive methods, the study provides a methodological framework for interrogating taken-for-granted assumptions in educational philosophy, fostering a deeper understanding of how historical thought continues to shape contemporary educational debates.

Furthermore, this research contributes to the underdeveloped field of comparative philosophy of education, demonstrating the value of cross-national and cross-linguistic philosophical inquiry.

By bridging conceptual gaps between German and English traditions, it opens new avenues for international dialogue in educational theory and encourages greater reflexivity in the construction of educational knowledge.

Principal accountabilities and responsibilities

The PhD studentship candidate shall undertake original, independent research under supervisory guidance whilst adhering to the University of Derby’s Postgraduate Research regulations. Core academic responsibilities encompass meeting prescribed milestones and progress reviews, maintaining comprehensive records of research activities, and demonstrating continuous scholarly development.

Professional development obligations require active engagement with the University’s PGR community and networks, alongside presentation of research findings at internal and external conferences. The candidate must establish academic and professional networks through participation in scholarly discourse and collaborative research initiatives.

Institutional compliance mandates adherence to university codes of conduct, academic integrity policies, and research ethics guidelines. Within the Institute of Education and Skills, the candidate shall contribute to the TERIC and TVET research clusters whilst maintaining regular supervisory contact and meeting all reporting requirements.

The role encompasses public engagement and knowledge transfer activities where applicable, facilitating the dissemination of research outcomes to broader audiences. This responsibility extends the academic impact beyond traditional scholarly boundaries.

Time management and accountability require full-time commitment to doctoral studies, ensuring timely completion of submissions and milestones. The candidate must demonstrate personal responsibility for learning and professional development, maintaining transparent communication with supervisors regarding progress, challenges, and research trajectory modifications.

To apply

Please review our entry requirements before submitting your application and check out the ‘Getting Started’ section below.

Completed applications should be submitted via our online application system quoting funding reference: EXT_AHE_Philosophies_25-26

Apply online

Closing dates for applications: 26 September 2025.

Interviews: Monday 13 and Wednesday 15 October 2025.

If you have not been invited for an interview by the interview date, please assume your application has been unsuccessful.

For enquiries which are subject-specific please contact:

Dr Jack Bryne Stothard – j.stothard@derby.ac.uk

Dr Johannes Schmees – j.schmees@derby.ac.uk

 Ph.D. Student / Junior Researcher Microeconomics / Applied Economics

The initial appointment will be 2 years with the possibility of extension. Salary is in accordance with the German State Regulated Public Salary Scale (starting at TV-L E13 2/3).

Tasks

The successful candidate will conduct cutting-edge empirical research in at least one of the following areas

• natural resources and environment,
• climate change and policy,
• digitalisation, AI and smart technologies in the bioeconomy,
• agricultural, food and environmental policy impact analysis, and/or
• production efficiency and food markets.

leading to an internationally competitive PhD degree and internationally peer-reviewed publications.

The position will include significant involvement in selected nationally and internationally funded projects, such as various EU Horizon projects (e.g., AGRO-WELL, URSOILL, WATERGRID, SCALARE) or nationally funded projects. He/she will receive high quality supervision from the chair’s senior academic staff and might be involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School training programs.

Qualifications

The applicants should possess:

• an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines
• strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning)
• a high motivation and the ability to work independently with a strong team orientation
• excellent spoken and written English and the will to acquire a certain working language of German.

We offer

The Technical University of Munich as one of the most renowned universities in Europe and long-standing member of the German “Initiative of Excellence” offers state-of-the-art research in a diverse and impact-oriented atmosphere.

The Chair Group of Production and Resource Economics offers a highly international and stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More information about the group is available at www.ep.mgt.tum.de/pur

Application

Please send a cover letter that explains how this position fits with your experiences and goals, your curriculum vitae, a list of references and copies of key documents (transcripts, degree certificates) in a single PDF to the head of the

Chair group, Professor Johannes Sauer (jo.sauer@tum.de). The positions will remain open until filled, with applications reviewed on a rolling basis through September 15, 2025. For additional information on the projects and the position, please contact Maria Vrachioli, Ph.D. (maria.vrachioli@tum.de) or Dr. Fabian Frick (fabian.frick@tum.de).

As part of the Excellence Initiative of the German federal and state governments, TUM has been pursuing the strategic goal of substantially increasing the diversity of its staff. As an equal opportunity and affirmative action employer, TUM explicitly encourages nominations of and applications from women as well as from all others who would bring additional diversity dimensions to the university’s research and teaching strategies. Preference will be given to disabled candidates with essentially the same qualifications.

Technical University of Munich

Chair Group of Production and Resource Economics

Alte Akademie 14

85354 Freising-Weihenstephan

Phone: 0049 – (0)8161 – 71 3412

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: fabian.frick@tum.de

For a scientific project on spin-selective neutron detection using quantum sensors, we are seeking a doctoral student (m/f/d) to work 30 hours per week.

Your area of ​​responsibility:

Neutrons make up 50% of the matter on Earth, yet they remain among its most mysterious components: Their decay time is less precisely known than the age of the universe, and their internal charge structure is closely related to the absence of antimatter in the cosmos.

Precision experiments with ultracold neutrons already achieve energy resolutions of 10-22 eV or better and provide meaningful tests for the Standard Model of particle physics. They restrict the CP-violating new physics to scales of 10–100 TeV, far beyond the reach of the LHC.

TUM and Heidelberg University (Prof. Dr. Skyler Degenkolb) aim to bring quantum sensing methods into precision neutron physics, thus further expanding the power and range of these measurements. Innovative new devices can have a significant impact on next-generation experiments in large-scale facilities.

Tasks:

This project will develop innovative detectors for ultracold neutrons that utilize superconducting microstructures for spin and energy selectivity. Calculations and simulations will serve as the basis for the fabrication of experimental prototypes to be tested in beamtime experiments at world-leading neutron research facilities (e.g., ILL, FRM II). The experimental hardware will be developed in collaboration with Heidelberg University. Data analysis, writing and publishing research articles, and presentations at professional conferences/workshops are integral parts of this project.

Requirements:

You have a degree (diploma, master’s degree) in physics, nuclear physics, radiochemistry, or a similar field. Ideally, you have already conducted experiments with neutrons. Experience in operating complex experimental setups and using data analysis tools (e.g., Python programming), as well as simulating the interaction of neutrons with matter, is an advantage. You enjoy working in an international team and have strong communication skills. Excellent written and spoken English skills are required.

For further information, please contact Dr. Robert Georgii (robert.georgii@frm2.tum.de) or Prof. Dr. Skyler Degenkolb (degenkolb@physi.uni-heidelberg.de).

The high safety standards of our facility require the reliability of our employees under nuclear law. Appropriate screenings are carried out for this purpose.

What we offer:

Flexible working hours, 30 days of vacation per year, and a company pension plan (VBL).

As an employee of FRM II, you can benefit from many other TUM services, such as

: – TUM health programs
– University sports
– TUM-internal continuing education and training opportunities
– TUM childcare (subject to availability)
– Excellent accessibility by public transport

. The position is remunerated according to the TV-L (German public pay scale) and is limited to a period of three years. The position is suitable for severely disabled applicants. Severely disabled applicants will be given preference if their qualifications, abilities, and professional performance are otherwise essentially equal. TUM strives to increase the proportion of women. Applications from women are therefore expressly welcomed.

Contact:

We look forward to receiving your meaningful application via our portal https://karriere.frm2.tum.de by September 15, 2025.

You will also find other FRM II job postings there.
Technical University of Munich
Heinz Maier-Leibnitz Research Neutron Source (FRM II)
Human Resources Office
Lichtenbergstrasse 1
D-85748 Garching
Tel: +49 89 289 13815

www.mlz-garching.de
www.frm2.tum.de

As part of your application for a position at the Technical University of Munich (TUM), you will be submitting personal data. Please note our privacy policy pursuant to Art. 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have read the TUM privacy policy (https://www.tum.de/spezialseiten/datenschutz/).

Contact: personal@frm2.tum.de

To strengthen our Food Systems Chemistry research group, we are seeking a committed individual to work on a project supervised by Prof. Dr. Corinna Dawid as soon as possible. The position is part-time (65%) and initially limited to 3 years.

Your tasks

The research project will use modern, instrumental natural product analysis and human psychophysical techniques to search for novel taste-active natural products and taste modulators in the sensometabolome and to characterize them structurally and functionally.

Your profile

You ideally have the following:
• Excellent master’s degree in the field of food chemistry
• High level of self-motivation to achieve a doctorate
• Analytical, creative and solution-oriented thinking
• Specialist knowledge: basic knowledge of (food) chemistry and/or analytics
• Very good written and spoken English skills

We offer you

• Thorough training in your area of ​​responsibility
• Diverse continuing education and training opportunities for professional and personal development
• Offers to promote health and balance work and private life
• An appreciative, collegial working atmosphere with flat hierarchies and short decision-making processes
• An interesting and responsible area of ​​responsibility in the context of top-class non-university research
• Flexible working hours with the option of mobile working (home office)
• Company pension scheme (VBL) and annual bonus
• A motivated team that looks forward to meeting you!

Equal opportunities and diversity

The Leibniz-LSB@TUM is committed to equal opportunities, diversity and respectful cooperation. We welcome applications regardless of gender, nationality, ethnic or social origin, religion or belief, disability, age, sexual orientation, or identity.
People with severe disabilities or those with equivalent qualifications will be given priority if they are essentially equally qualified (Section 2 of the German Social Code, Book IX).

Contact and Application

If you have any questions about the advertised position, please contact:
Prof. Dr. Corinna Dawid, c.dawid.leibniz-lsb@tum.de.
Please send your application with the usual documents as a PDF file, quoting the reference number 2025-12-S1-CD, by email by September 5, 2025, to:
Ms. Anja Albrecht (Administration) recruiting.leibniz-lsb@tum.de.

We look forward to receiving your application!

Note on data protection:
As part of your application for a position at Leibniz-LSB@TUM, you will be submitting personal data. Please note our data protection information pursuant to Art. 13 of the General Data Protection Regulation (GDPR) regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have read the Leibniz-LSB@TUM data protection information.

Contact: recruiting.leibniz-lsb@tum.de

More Information

https://www.leibniz-lsb.de/

The Technical University of Munich (TUM) at Campus Straubing is looking for a PhD (f/m/d) in Polymer Physics/Material Science funded by ERC StG with excellent opportunities for both research and career development.

About us

Our research focuses on extracting and isolating bio-based polymers such as cellulose and proteins fromrenewable feedstocks and waste streams. We aim to develop sustainable processes to convert these materials into high-performance fibers and functional materials. By manipulating molecular interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based materials to advance the potential of biopolymers in various applications.

Project description

Cellulose is the most abundant biopolymer on earth and offers significant potential for applications such as sustainable packaging materials and textiles. However, its use in mass production is limited by its inability to melt like conventional thermoplastics. This limitation arises from the strong intermolecular bonding within cellulose: upon heating between 240 °C and 350 °C, cellulose begins to decompose rather than transitioning into a meltable phase. LaserCell funded by ERC StG envisions an innovative approach to reshape and rearrange cellulose at the molecular level by disrupting cohesive interactions through resonant excitation of specific bonds. It will revolutionize the field of biopolymer processing beyond cellulose and yield fundamental insights into supramolecular structure and dynamics in biomaterials.

Your profile

We are looking for a candidate with the following qualifications:
• Master’s degree in polymer science, physical chemistry, materials science, or materials engineering, or a closely related field
• Experience with cellulose and its processing technologies is an advantage
• Strong willingness to contribute to the setup and management of laboratory infrastructure
• Fluency in English, particularly in scientific writing and communication, is required; A good working knowledge of German is preferred to facilitate communication with technical staff and administrative services
• Basic knowledge of mechanical engineering or experience with fiber spinning equipment is an advantage
• Practical, hands-on skills and technical competence are highly valued, especially given that the laboratory is in the expansion phase

We offer

We offer excellent working conditions within a young and interdisciplinary team. In an open and collaborative environment, you will have the freedom to develop and pursue your own ideas. Located at the gateway to the Bavarian Forest, Straubing—a historic ducal town on the Danube—is a leading center for renewable materials and sustainability technologies in Germany. This position offers a three-year contract (65% E13 TV-L) with the possibility of extension. You will benefit from international collaboration opportunities, especially in the Nordic countries, as well as conference participation and research in a modern, well-equipped laboratory environment.
As an equal opportunity and affirmative action employer, TUM explicitly encourages applications from women and individuals who can contribute to the diversity of the university’s research and teaching.
Preference will be given to candidates with disabilities who have equivalent qualifications.

Join us!

To apply to this position, please submit your application including the attachments mentioned below as one single PDF document in English via email to applications.pft@cs.tum.de
• CV including publications
• A max one page motivation letter
• Degree certificates and academic transcripts
• Contact details of two referees

The deadline for application is September 15th, 2025. We regret that we are only able to contact shortlisted candidates. If you do not hear from us within two weeks after submission, you may assume that your application was not successful.

Kontakt: applications.pft@cs.tum.de

About us
The TUM Campus in Heilbronn is part of the renowned Technical University of Munich, which is one of the best universities in Europe. Top performance in research and teaching, interdisciplinarity and talent promotion are its hallmarks. In addition, it has strong alliances with companies and scientific institutions around the world. TUM is one of the first three universities of excellence in Germany. The TUM School of Management is also the first management school at a technical university in Germany to receive Triple Crown accreditation. Worldwide, only about 80 institutions (about 1%) can boast this distinction. The Heilbronn Data Science Center is a research institution of TUM Campus Heilbronn that uses data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains.

 Your profile

• Master’s degree in Statistics, Industrial Engineering, Operations Research, Civil Engineering, Computer Science, Data Science or a related field, from a university/department with a strong international research reputation
• Strong mathematical and analytical skills for model formulation and optimization
• Demonstrated research potential, ideally with a track record of publications in relevant venues (journals such as IEEE T-ITS, INFORMS Transportation Science, Transportation Research Part B, or conferences such as SIGKDD, ITSC, CIKM)
• Strong programming skills in Python
• Strong interest in scientific research with the goal of obtaining a doctoral degree
• High motivation and enthusiasm for working in an interdisciplinary research environment

Research focus:

The successful candidate will conduct research on data-driven modeling of transportation systems, using techniques such as:

• High-dimensional data mining
• Tensor decomposition
• Causal inference
• Statistical process modeling
• Machine Learning

Applications include public transport, private vehicles, traffic infrastructure, and emerging mobility solutions (e.g., electric vehicles, e-scooters, drones).

We offer

• Self-determined work related to interdisciplinary research projects
• A diverse and inclusive working environment
• The opportunity to work in a vibrant scientific environment
• The possibility to partially work from home as well as a modern, well-equipped workplace on the Bildungscampus Heilbronn
• Access to advanced training opportunities for professional development

 About our group:

Prof. Dr. Ziyue Li holds the Professorship in Transportation Analytics in the Department of Operations & Technology and Heilbronn Data Science Center at the Technical University of Munich, Germany. His research focuses on spatiotemporal data mining, with applications in smart transportation and smart cities, emphasizing generalizability, reliability, and robustness. Prof. Li has authored over 40 papers in top-tier AI and machine learning conferences and journals. Ranked among the Top 50 researchers in “Spatiotemporal Data Mining” and “Smart Mobility” (Google Scholar), he has received multiple prestigious international awards, including the IEEE CASE Best Conference Paper Award, INFORMS QSR Best Student Paper Award, and INFORMS DM Best Applied and Best Theoretical Paper Awards. Beyond academia, Dr. Li has extensive industrial experience and collaboration with Microsoft, The Bell Labs, Hong Kong Mass Transit Railway Co., and other leading corporates.

Transportation data are inherently spatial, temporal, multi-modal, and high-dimensional. Our work addresses the challenges of Perception, Decision, and Explanation (PDE) in complex transport systems:

1. Perception: Developing robust models to handle noisy, complex spatiotemporal data, integrating physical constraints, and generalizing from limited labels.
2. Decision: Designing adaptive, automated decision-making tools (e.g., traffic signal control, human–vehicle coordination, logistics optimization, route planning) using reinforcement learning in dynamic environments.
3. Explanation: Building interpretable causal models to explain patterns (e.g., congestion dynamics), enabling transparency in high-stakes decision-making.

We combine statistical data mining, deep learning, and domain knowledge to design models that adapt to the physical realities of transportation systems, with the ability to generalize to new tasks and datasets.For more information about the research group, please refer to: https://bonaldli.github.io/

 Application process

We look forward to receiving your application documents (one-page letter outlining your motivation and research plan, transcripts of records, CV, IELTS/ TOEFL/GRE certificates if available, other certificates) by September 30, 2025, as a single PDF document via e-mail to jobs.udsm@mgt.tum.de (contact person: Ms. Elke Kröber) using the subject “PhD Transportation Analytics”.

 Or by post to:

TUM School of Management
UDSM
Elke Kröber
Bildungscampus 2
74076 Heilbronn

 If you apply by post, please send us copies only, as we will unfortunately not be able to return your application documents once the process has been completed.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women. Payment will be based on the Collective Agreement for the Civil Service of the Länder (TV-L) up to a classification in pay group 13 with appropriate qualifications.

 Note on data protection:

As part of your application for a position at the Technical University of Munich (TUM), you submit personal data. Please note our data protection information in accordance with Art. 13 of the General Data Protection Regulation (GDPR) on the collection and processing of personal data in the context of your application. By submitting your application, you confirm that you have taken note of TUM’s data protection information.

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: Elke Kröber / Mail: jobs.udsm@mgt.tum.de

More Information

https://bonaldli.github.io/