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Postdoctoral Research Fellow position

At the Faculty of Medicine, Department of Clinical Science (https://www.uib.no/en/clin2), there is a vacancy for a full-time postdoctoral research fellow position within AI in endocrinology and digital health. The position is for a fixed term of 3 years and is associated with the LEAD AI project co-funded by European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560 and the University of Bergen.

The position is open to either an incoming or an outgoing candidate, see LEAD AI mobility rules

About the host research group and research theme:

The host research group, led by Professor Helge Ræder, MD, PhD, at the Department of Clinical Science, University of Bergen, applies AI in endocrinology and digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal insufficiency and cortisol dysregulation.

The project targets patients with stress-related hormone conditions, including cortisol deficiency disorders (e.g., Addison’s disease) and cortisol overproduction disorders (e.g., Cushing’s disease, metabolic syndrome, cardiovascular disease, sleep and shift work disorders). Beyond clinical applications, the research may contribute to optimizing athletic performance, eating habits, and sleep cycles. In collaboration with Stanford University’s Center for Genomics and Personalized Medicine, we aim to advance real-time monitoring solutions for endocrine health.

The postdoctoral fellow will develop AI-driven models for cortisol prediction (as well as related hormones), including in real-time, by combining physiological signals (i.e., sleep, activity, food intake, and fasting) from wearables and other sources with multi-omics biomarkers. The project involves refining deep learning approaches, such as recurrent and convolutional neural networks, to improve personalized health monitoring. Opportunities include integrating multi-omics data from iPSC-derived adrenocortical and ovarian organoids to enhance model precision. The fellow will contribute to feature engineering, model validation, and optimizing AI methodologies for clinical implementation.

About the LEAD AI fellowship programme
LEAD AI is the University of Bergen's career and mobility fellowship program for training 19 postdoctoral fellows in artificial intelligence.

The program has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 101126560.

The LEAD AI programme offers high-quality inter- and transdisciplinary research and training opportunities in the area of artificial intelligence supported by a dedicated supervision and mentoring, encouraging inter-sectoral exposure, in particular:
• academic freedom
• benefits from knowledge and skills transfer between disciplines, organisations and sectors
• structured, skill-based training
• high-quality working conditions
• personal career support
• equal opportunities

For more information see the LEAD AI webpage or send an email to leadai@uib.no

Qualifications and personal qualities:

Applicants must hold a Norwegian PhD or an equivalent degree within computer science or related fields (e.g., mathematics, statistics, medicine, life sciences with a strong emphasis on computational and programming aspects). or must have submitted his/her doctoral thesis for assessment prior to the application deadline. It is a condition of employment that the PhD has been awarded.
Applicant should have a genuine interest in AI, and the research proposal must be related to artificial intelligence.
Applicants cannot previously have been employed as a postdoctoral fellow at UiB and they cannot be employed by any other institution for the time of the fellowship.
Experience with AI-related research and/or innovation is an advantage.
Experience in machine learning is a requirement.
Experience with programming and app development will be emphasized
The LEAD AI mobility rules must be followed.
Outgoing fellowships require an uninterrupted stay of minimum 12 months at an institution outside of Norway, followed by a mandatory return period to the University of Bergen of at least 12 months.
Applicants must be able to work independently and in a structured manner and have the ability to cooperate with others.
Applicants must have excellent skills in oral and written English (self-assessed in the CV and demonstrated in the application).
The application and relevant documents must be in English.

Personal and relational qualities will be emphasized. Research experience, ambitions and potential will also be considered during candidate evaluation.

Special requirements for the position

The University of Bergen is subjected to the regulation for export control system. The regulation will be applied in the processing of the applications.

About the position of postdoctoral research fellow:

The position of postdoctoral research fellow is a fixed-term appointment with the primary objective of qualifying the appointee for work in top academic positions. You cannot be employed as a postdoctoral fellow for more than one fixed term period at the same institution.

The employee may be assigned required duties in the form of teaching and similar work at the department.

The fixed term period for the position is three years, with the possibility of an extension of the period with up to one year if the appointee is granted externally financed research stays abroad.

For all LEAD AI fellows, a Personal Career Development Plan (PCDP) will be developed jointly by the fellow, supervisor, and co-supervisor by the end of Month 3 of the fellowship, including a plan for the individual research budget, and information on additional funding where applicable.

It is a requirement that the project is completed in the course of the period of employment.

We can offer:

*) Subject to membership in the Norwegian National Insurance Scheme. For non-EU outgoing fellows, individual benefit agreement must be considered.

**) Right to paid parental leave requires 6 months paid work before first day of leave. See full requirements.

How to apply:
Before starting the online application process, please familiarise yourself carefully with our application requirements in the Guide for Applicants and Application templates .

It is essential that all required attachments (see next section) are uploaded via our electronic recruiting system JobbNorge. Before uploading any documents in the portal (to minimise repetition of information):

In the ‘JobbNorge-application field’: Only write your name.
In the ‘JobbNorge-CV form’: Only fill in your 1) personal details, 2) information about your PhD-degree (in the field ‘Academic qualifications’) and 3) recent relevant work experience.
You do not need to fill in any other sections in the JobbNorge form, as all the information we need will be provided by you when attaching the mandatory elements listed in the next section.

Your application must include:

Research proposal (5 pages, using a template based on the evaluation criteria), must be relevant to the AI-related research themes defined by LEAD AI host research groups in the call. It is essential that you discuss the details of the project idea with your potential UiB supervisor at an early stage in the application process, to ensure that there is a match between resources and expertise needed to implement the project.
A motivation letter.
A CV detailing the full scientific track record, relevant other achievements and career breaks (e.g., parental, and long-term sick leave, compulsory military service, and non-academic work)
Mobility declaration with supporting documentation (e.g., employment contract, rental agreement. etc.).
Table of potential ethics and security issues that might apply to the research proposal (self-assessment).
An initial self-assessment of opportunities for mandatory and recommended open science practices.
External host declaration (for outgoing candidates only).
Scanned copy of the PhD diploma or documentation of formally delivered doctoral thesis (translated to English if necessary; Scandinavian languages are accepted).
References. Letters of recommendation from the graduating university or previous employers are encouraged.

The application and appendices with certified translations into English or a Scandinavian language must be uploaded at Jobbnorge

Evaluation
We anticipate the whole evaluation procedure to take approximately 4 months from application deadline.

Eligible applicants will be evaluated by three internationally renowned experts and assessed against criteria addressing excellence, impact, implementation, quality of the researcher and training,
knowledge transfer, and networking opportunities (outgoing only). Details are stated in the Guide for applicants.

The applicant’s personal suitability for the position is a significant factor in the evaluation.

General information:

For further information please contact:

Professor Helge Ræder
For HR related questions contact: Selina Sia Hausberg

Diversity is a strength that enables us to solve our tasks even better. UiB therefore needs qualified employees regardless of gender, ethnicity, religion, worldview, disability, sexual orientation, gender identity, gender expression, and age.

The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

Information about applicants may be made public even if the applicant has asked not to be named on the list of persons who have applied. The applicant must be notified if the request to be omitted is not met.

We encourage applicants with disabilities, immigrant backgrounds, or gaps in their CV to apply.

By indicating such circumstances in your application, you may receive favorable consideration. We ensure that at least one qualified applicant from each of these groups is invited for an interview as part of our commitment to inclusivity and equal opportunity.

Further information about our employment process can be found here.

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