PhD Research Fellow in Optimized Monitoring of Patients with Primary Adrenal Insufficiency (DC1) University of Bergen in Norway

The University of Bergen, Faculty of Medicine, invites applications for a full-time PhD Research Fellow position in Optimized Monitoring of Patients with Primary Adrenal Insufficiency (DC1), as part of the Marie Skłodowska-Curie Doctoral Network ENDOTRAIN. This three-year position, based at the Department of Clinical Science and Haukeland University Hospital, offers a unique opportunity to contribute to cutting-edge research in digital endocrinology, focusing on the integration of wearable sensor data, hormone profiling, and patient-reported outcomes.

The project aims to investigate how endocrine rhythms, particularly cortisol levels, affect tissue glucose, blood pressure, and sleep in patients with primary adrenal insufficiency (PAI). Through a case-control study, the candidate will collect and analyze wearable-based physiological data and hormone profiles from both healthy subjects and PAI patients, integrating multimodal datasets to advance digital diagnostic tools in endocrinology. The research will involve collaboration with technical and clinical partners, including secondments at the University of Ulm (algorithm development for wearable data) and the University of Manchester (mathematical modelling of hormone rhythms).

As a member of the Endocrine Medicine Research Group, the PhD candidate will benefit from a vibrant interdisciplinary environment, access to state-of-the-art biobanking, wearable technologies, hormone analytics, and extensive international collaborations. The position includes participation in the structured PhD programme at the University of Bergen, with mandatory involvement in ENDOTRAIN network training activities such as workshops, retreats, and cohort-wide meetings across Europe.

Applicants must hold a master's degree in medicine (MD) and demonstrate a strong interest in translational endocrinology and digital health. Basic programming or data science skills (R, Python) and experience with wearable data analysis are advantageous. Candidates should be fluent in English, able to work independently, and possess strong communication and collaboration skills. International applicants must provide certified translations of academic documents and, if required, a review from the Norwegian Directorate for Higher Education and Skills (HK-dir) confirming degree equivalence.

The position is funded by the European Union’s Horizon Europe programme, offering a gross annual salary of NOK 570,000, with higher rates for medical doctors, dentists, and specialists. Benefits include enrolment in the Norwegian Public Service Pension Fund, occupational injury insurance, full salary during sick leave for up to 52 weeks, paid parental leave, and free Norwegian language courses. The University of Bergen is committed to diversity, inclusion, and gender equality, encouraging applications from underrepresented groups.

To apply, candidates must submit all mandatory attachments (application form, CV, mobility declaration, motivation letter) via the Jobbnorge electronic recruiting system. Transcripts and degree documentation must be uploaded, and those with pending degrees should provide a statement of expected completion. The application deadline is 15th February 2026, with the position scheduled to start in August 2026.

For further details and to apply, visit the official application page. This is an exceptional opportunity to join a leading research group and contribute to the advancement of digital health and endocrinology.