LEAD AI Postdoctoral Research Fellow position in endocrinology and digital health

2 days ago

Bergen, Vestland, Norway Unist Full time

Organisation/Company: University of Bergen

Department: Department of Clinical Science

Research Field: Medical sciences

Researcher Profile: Recognised Researcher (R2)

Positions: Postdoc Positions

Country: Norway

Application Deadline: 11 May 2025 - 23:59 (Europe/Oslo)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 37.5

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

UiB - Knowledge that shapes society

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 host research group, led by Professor Helge Ræder, MD, PhD, 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 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.

Minimum Requirements
  • 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.
  • Experience in machine learning is a requirement.
  • Experience with AI-related research and/or innovation is an advantage.
  • Experience with programming and app development will be emphasized.
  • 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).

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

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. 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.

We can offer an engaged and professionally stimulating working environment, a gross annual salary of NOK 624 500 upon appointment, welfare benefits, and access to specific training activities exclusively provided within the framework of the LEAD AI programme.

It is essential that all required attachments are uploaded via our electronic recruiting system JobbNorge. Your application must include a research proposal, a CV, a mobility declaration, and other relevant documents.

Evaluation

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.

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.

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