The University of Bergen, in collaboration with Haukeland University Hospital, is offering a fully funded PhD position as part of the ENDOTRAIN MSCA Doctoral Network. The project, titled 'Optimized Monitoring of Patients with Primary Adrenal Insufficiency (DC1)', is embedded in Work Package 1: Hormone Dynamics and aims to advance understanding of endocrine rhythms in patients with primary adrenal insufficiency (PAI) using real-world, continuous data streams. This research will investigate how cortisol levels affect tissue glucose, blood pressure, and sleep, correlating these physiological measures with patient-reported outcomes. The ultimate goal is to define the optimal range of tissue cortisol in PAI and establish time-in-range metrics compared to healthy subjects. The project involves a case-control study collecting wearable-based data and hormone profiles from both healthy subjects and PAI patients at different hydrocortisone doses. Integration of wearable-derived physiological data (activity, heart rate, temperature) with 24-hour dynamic hormone profiling, proteomics, and patient-reported data will contribute to multimodal datasets supporting the development of digital diagnostic tools in endocrinology. The PhD candidate will benefit from secondments with technical and clinical partners, including the University of Ulm (algorithm development for wearable data) and the University of Manchester (mathematical modelling of hormone rhythms). The host institution provides access to state-of-the-art biobanking, wearable technologies, hormone analytics, and extensive international collaborations. The candidate will join the Endocrine Medicine Research Group, which includes clinical researchers, molecular biologists, geneticists, and bioinformatics experts. Applicants must hold a Master's degree in medicine (MD) and demonstrate a strong interest in translational endocrinology and digital health technologies. Basic programming or data science skills (R, Python) and experience in wearable data analysis are assets. Candidates should be able to work independently, possess good communication skills, and be motivated for interdisciplinary collaboration. Fluency in oral and written English is required. Eligibility criteria for Norwegian PhD positions apply, including mobility requirements (no more than 12 months residence/activity in Norway in the past 36 months). The position is fully funded, with salary according to Norwegian regulations, full social security coverage, travel and secondment budget, and opportunities for international networking and career development. The PhD programme is structured and includes mandatory participation in interdisciplinary training, workshops, retreats, transferable skills courses, and cohort-wide meetings across Europe. Applications must be submitted through the Jobbnorge portal with all mandatory attachments. The application deadline is February 15, 2026, and the latest possible start date is August 2026. For more information, visit the project page linked above.

The University of Bergen, in collaboration with Haukeland University Hospital, invites applications for a PhD Research Fellowship in Optimized Monitoring of Patients with Primary Adrenal Insufficiency (DC1) at the Faculty of Medicine. This position is part of the Marie Skłodowska-Curie Doctoral Network ENDOTRAIN, which focuses on digital endocrinology and innovative approaches to combat adrenal diseases. The successful candidate will join a vibrant research environment at the Department of Clinical Science and the Endocrine Medicine Research Group, benefiting from expertise in clinical research, molecular biology, genetics, and bioinformatics. The project aims to investigate endocrine rhythms in patients with primary adrenal insufficiency (PAI) using real-world, continuous data streams. The research will explore how cortisol levels affect tissue glucose, blood pressure, and sleep, correlating these findings with patient-reported outcomes. The ultimate goal is to define the optimal range of tissue cortisol in PAI and compare time-in-range metrics to healthy subjects. The study involves a case-control design, collecting wearable-based physiological data and hormone profiles from both healthy individuals and PAI patients at varying hydrocortisone doses. Data integration will include blood pressure, tissue glucose, activity, heart rate, sleep metrics, 24-hour hormone profiling, proteomics, and patient-reported data, contributing to multimodal datasets for digital diagnostic tool development in endocrinology. The position offers secondments at the University of Ulm (Germany) for algorithm development and the University of Manchester (UK) for mathematical modelling of hormone rhythms. The candidate will participate in the ENDOTRAIN doctoral training network, attending workshops, retreats, and cohort-wide meetings across Europe. The research group provides access to state-of-the-art biobanking, wearable technologies, hormone analytics, and extensive international collaborations. Applicants must hold a master's degree in medicine (MD) and have 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 able to work independently, communicate effectively, and collaborate across disciplines. Fluency in English is required, and international applicants must provide certified translations and HK-dir recognition of their degrees unless exempted. Admission to the University of Bergen's structured PhD programme is mandatory. The position is fully funded by the European Union’s Horizon Europe programme under the Marie Skłodowska-Curie grant, with a gross annual salary starting at NOK 570,000 and higher rates for licensed medical doctors, dentists, and specialists. Benefits include enrolment in the Norwegian Public Service Pension Fund, occupational injury insurance, full salary during sick leave, paid parental leave, and free Norwegian language courses. The University of Bergen is committed to diversity, inclusion, and gender equality, encouraging applications from women, individuals with disabilities, immigrant backgrounds, and those with career gaps. Applications must be submitted via the Jobbnorge electronic recruiting system, including all mandatory attachments: application form, CV, mobility declaration, motivation letter, and transcripts. If the master's degree is pending, a statement of expected completion date is required. HK-dir review documentation must be included for international degrees. The application deadline is 15th February 2026, and the position is scheduled to start in August 2026. For further information, contact Professors Marianne Øksnes, Walter Karlen, Eystein Sverre Husebye, Helge Ræder, or Project Manager Elizabeth Farmer. Join a leading European research network and contribute to advancing digital health and endocrinology.

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.

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 ENDOTRAIN Doctoral Network. This three-year position, with possible extension, is embedded in Work Package 1 of the ENDOTRAIN network, which focuses on digital endocrinology and the development of advanced monitoring tools for adrenal diseases. The project is funded by the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie framework. The research aims to investigate endocrine rhythms in patients with primary adrenal insufficiency (PAI) using real-world, continuous data streams. The project will analyze how cortisol levels affect tissue glucose, blood pressure, and sleep, correlating these findings with patient-reported outcomes. The ultimate goal is to define the optimal range of tissue cortisol in PAI and establish time-in-range metrics compared to healthy subjects. Key project activities include a case-control study collecting wearable-based physiological data and hormone profiles from both healthy subjects and PAI patients at varying hydrocortisone doses. The research integrates wearable-derived data (blood pressure, tissue glucose, activity, heart rate, sleep) with 24-hour dynamic hormone profiling, proteomics, and patient-reported data. The candidate will contribute to multimodal datasets that support the development of digital diagnostic tools in endocrinology. The position offers secondments with technical and clinical partners, including the University of Ulm (algorithm development for wearable data) and the University of Manchester (mathematical modelling of hormone rhythms). The successful candidate will join the Endocrine Medicine Research Group at the Department of Clinical Science, University of Bergen, and collaborate closely with Haukeland University Hospital. The research group comprises clinical researchers, molecular biologists, geneticists, and bioinformatics experts, providing a dynamic and interdisciplinary environment. Facilities include state-of-the-art biobanking, wearable technologies, hormone analytics, and extensive international collaborations. Eligibility requirements include a master’s degree in medicine (MD), strong interest in translational endocrinology and digital health, and basic programming or data science skills (R, Python). Experience in relevant research projects is advantageous. Candidates must be fluent in English and able to work independently and collaboratively. Applicants must not have resided or worked in Norway for more than 12 months in the 36 months prior to recruitment. Those with foreign degrees must provide certified translations and a review from the Norwegian Directorate for Higher Education and Skills (HK-dir) confirming equivalence to a Norwegian master’s degree. Exemptions apply for Nordic and EEA medical graduates with Norwegian licensure. The position offers a competitive salary (NOK 570,000–605,000 depending on qualifications), 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 successful candidate will participate in the structured PhD programme at the Faculty of Medicine and benefit from interdisciplinary training, workshops, retreats, and cohort-wide meetings across Europe. To apply, prepare all required documents (application form, CV, mobility declaration, motivation letter, transcripts) and submit them via the Jobbnorge electronic recruiting system. If your master’s degree is pending, include a statement of expected completion date. For further details, visit the ENDOTRAIN and University of Bergen webpages. The application deadline is 15th February 2026, and the position is scheduled to start in August 2026. This opportunity is ideal for candidates seeking to advance their expertise in clinical endocrinology, digital health, and translational research within a leading European research environment.