Researcher

We are looking for a researcher in a temporary position for the project “Predicting Care Needs of Older Adults in the Healthcare System through AI-Enabled Analysis of Patient-Monitoring Data (PAI)” ( https://www.his.se/en/research/informatics/information-systems/predict-the-healthcare-needs-of-older-adults-using-ai/ ). The PAI project aims to predict the need for and improve care for older adults by using artificial intelligence (AI) to analyze data from electronic devices such as smart watches, accelerometers, etc. for early detection of health and functional decline. AI-driven predictive models will be developed that can be used to initiate early interventions and appropriate care level involvement, thereby reducing acute care costs and improving quality of life. The PAI project involves partners in Norway, Spain and Sweden and is led by the Norwegian University of Science and Technology (NTNU). It is funded by The European Partnership on transforming health and care systems THCS, and runs until October 2027. 

There are plans to apply for funding for new projects within the same area, and the successful candidate will have the opportunity to participate in this work and thus the opportunity for a longer commitment. Arrangements can be made to build competence to qualify for work in academic positions. The appointment will last from the date of appointment until October 2027.

You will report to the project manager for the project. The HR manager is the head of the department for Public Health and Community Medicine at (ISM).

• Participate in planning and implementing data collection in the participating countries
• Analyzing datasets to develop AI models that can analyze and predict care needs
• Collaborate with health and care services to test the models
• Participate in other work in the project
• Publish scientific articles and present at international conferences

• Relevant education at master’s level in subjects that deal with the function of the body, such as health and movement sciences (for example, medical and movement sciences or a master’s degree based on a bachelor’s degree in a health subject such as nursing, physiotherapy, etc.)
• Experience with organizing and implementing data collection from portable electronic devices (smartwatch, accelerometer, etc.)
• Have been involved in using machine learning/artificial intelligence to analyze data from portable electronic devices
• Scientific publications dealing with the use of data from portable electronic devices
• Good oral and written presentation skills in Norwegian and English 

• Relevant doctorate in medicine and health sciences or equivalent
• Experience from other types of data collection such as questionnaires and use of previously collected data including registry data
• Knowledge of the Norwegian health service

• Good collaboration and communication skills
• High execution capability
• Committed and flexible
• Willing to learn
• Thrives both in a team and working independently

• Exciting and developing tasks in a strong and international professional environment
• open and  inclusive working environment with committed colleagues
• favorable terms in the Government Pension Fund
• employee benefits and perks

The position of researcher code 1108 or researcher code 1109 is paid depending on qualifications and seniority. A statutory 2% contribution to the State Pension Fund is deducted from the salary,

The employment will be carried out in accordance with the principles of the Government Employees Act , and legislation regulating the export of knowledge, technology and services. After employment, you must expect that there may be changes in the work area.

The position is conditional on external funding. 

It is a prerequisite that you can be present at and available to the institution on a daily basis.

Please note that applications will only be assessed based on the information available at the application deadline. Therefore, please ensure that your application clearly demonstrates how your skills and experience meet the criteria described above.

If you have had a leave of absence or other break in your career, it is important that this is stated in your application so that the selection committee can take this into account and that the amount of your research may have been reduced as a result.

The application must contain:

• A description of your motivation for the position and how you meet the qualification requirements
• CV, certificates and diplomas 
• A list of scientific works with information on where they were published
• Copies of a maximum of three scientific works that are considered relevant to the position
• Names and contact information of three relevant references

When assessing the best qualified candidate, we emphasize education, experience and personal suitability, as well as your motivation for the position.

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment – ​​DORA.  This means that we place particular emphasis on the quality and academic breadth documented by your scientific work. We also take into account research leadership and participation in research projects. We place the greatest emphasis on your scientific work from the last five years.

Inclusion and diversity are a strength. We want our employees to reflect the population, and are always looking for the best minds. This gives NTNU increased productivity, innovation, better decision-making processes, increased employee satisfaction and the competitive advantage we need to carry out our societal mission in research and education.  
NTNU emphasizes adaptation and encourages you as a qualified candidate to apply regardless of gender, functional ability, gaps in your CV or cultural background. 

As an employee at NTNU, you must at all times adapt to changes that developments in the subject entail, and the organizational changes that are adopted.

A public applicant list with name, age, job title and municipality of residence will be prepared after the application deadline. If you wish to reserve yourself from being included on the public applicant list, you must provide reasons for this. Assessment will be made in accordance with applicable legislation . You will be notified if your reservation is not accepted.  

If you have any questions about the position, please contact Professor Aslak Steinsbekk, tel. 41559076, e-mail: aslak.steinsbekk@ntnu.no  If you have any questions about the hiring process, please contact Anita Finserås Bretun, e-mail: anita.f.bretun@ntnu.no

If this sounds interesting and matches your qualifications, please send us your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Upon request, you must be able to provide certified copies of your documentation. 

Application deadline: 28.02.2025