Norwegian version
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PhD Fellowship position in Artificial Intelligence in the field of Large Language Models in health research

Oslo Metropolitan University is Norway's third largest university with 23,000 students and over 2,600 employees. We have campuses in central Oslo and at Romerike. OsloMet educates students and conducts research that contributes to the sustainability of the Norwegian welfare state and the metropolitan region.

The Faculty of Technology, Art and Design (TKD) offers higher education and research and development (R&D) activities within technical subjects, arts and design. The Faculty has approximately 4.000 students and 400 staff members and is situated at Pilestredet Campus in downtown Oslo and at Kjeller Campus in Viken.

The Department of Computer Science offers three bachelor’s degree programmes, a master’s degree programme, and is part of a cross-departmental PhD program. Academic staff at the department are pursuing research in a wide range of areas including computer science, the natural sciences, and innovation and management. Both students and researchers are also involved in an increasing number of interdisciplinary initiatives across the university.

The Department of Computer Science at the Faculty of Technology, Art and Design (TKD) has a vacant PhD Fellowship position in Artificial Intelligence in the field of Large Language Models in health research. 

Area of research

In the rapidly evolving landscape of artificial intelligence (AI), the healthcare industry stands to benefit immensely. The "Digital Expert Twin" project aims to develop an advanced AI-based solution for physiotherapy using state-of-the-art Retrieval-Augmented Generation (RAG) models. This solution will feature two AI experts: a Patient Communication Expert for initial assessments and intervention suggestions, and a Physiotherapist Sparring Partner to collaborate with human physiotherapists using the latest research. This interdisciplinary project involves international collaborators from various research fields, ensuring a robust and clinically relevant AI solution.The project addresses significant issues in physiotherapy, such as long waiting lists in primary healthcare, by providing timely interventions to prevent the worsening of health conditions. It also aims to create an educational tool that incorporates the entire physiotherapy curriculum and evidence-based guidelines, ensuring continuous learning for both current and future practitioners. Building on successful pilot projects using the open-source LLM model "Instruction-tuned NorMistral-7b-warm," the Digital Expert Twin project seeks to significantly enhance physiotherapy practices and pave the way for similar advancements in other fields.The position is advertised as a 3-year position with 100% research, or a 4-year position with 75% research and 25% other career-advancing work. The goal must be to complete the PhD program/degree within the decided time frame. The decision on a 3- or 4-year position will be discussed as part of the interviews in the hiring process.

Qualification requirements and conditions

The following grade requirements are a condition for employment in the position:

Admission to the doctoral program Innovation for sustainability at the Faculty of Technology, Art and Design within three months of employment is a prerequisite for the position. If you already have a doctorate in a related field, you will not qualify for the position.

In assessing the applicants, emphasis will be placed on the department's overall needs and the applicant's potential for research within the field.

General criteria for appointment to recruitment positions are set out in the Regulations relating to terms and conditions of employment for positions such as postdoctoral fellow, research fellow, research assistant and specialist candidate (FOR-2006-01-31-102), cf. transitional rules described in Section 13.2 of the Regulations relating to the Act relating to Universities and University Colleges.

Preferred selection criteria

It is important to OsloMet to reflect the population of our region, and all qualified candidates are welcome to apply. We make active endeavours to further develop OsloMet as an inclusive workplace and to make adaptations to the workplace where required. You are also welcome to apply for a position with us if you have had periods where you have not been in employment, education or training.

We can offer you

Practical information about relocation to Oslo and living in Norway.

Application

To be considered for the position, you must upload the following documents by the application deadline:

Official diploma and transcript must be submitted before taking up the position, no later than 01.10.2025. If your educational institution is not able to deliver an official diploma by the deadline, you must submit documentation from the institution that confirms that your master´s degree is completed by the same deadline.

We only process applications sent via our electronic recruitment system and all documents must be uploaded wihtin the deadlines stated in the announcement text for your application to be processed. The documents must be in English or a Scandinavian language. Translations must be authorized. You must present originals at any interview. OsloMet checks documents, so that you as a candidate will get a real evaluation and fair competition.

Other information

If you would like more information about the position, feel free to contact:

The position is paid according to the pay scale for Norwegian state employees, position code 1017 PhD fellow, NOK 532 200 per year.

If you have documents that cannot be uploaded electronically, please contact hrtkd@oslomet.no. 

If you would like to apply for the position, you must do so electronically through our recruitment system.

Deadline for applications: 01.05.2025Ref.: 25/03199

OsloMet is a Charter & Code certified institution by the EU Commission holding the right to use the logo HR Excellence in Research (HRS4R). OsloMet is a member of the EURAXESS network supporting a positive work environment for researchers in motion.

OsloMet has signed The Declaration on Research Assessment (DORA). DORA recognizes the need to improve the ways in which the outputs of scholarly research are evaluated.

The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who are seen to be in conflict with the criteria in the latter law will not be considered for the position.

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