The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad.
There are five departments and eight centres at Faculty of Medicine.
UiB shall be among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive place to study and work.
19 PhD Fellowships available in Digital Endocrinology in the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN).
Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases.
Digital medicine is entering a new era where human “digital twins” and sensor-based monitoring allow personalised diagnosis and treatment. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, AI, data science, engineering, ethics and law into an integrated field of digital endocrinology. The programme focuses on adrenal disorders as a case study for advancing digital health in Europe.
About the PhD position:
This project is part of Work Package 2 – Technologies for Multimodal data of ENDOTRAIN and will advance the development of multimodal Large Language Models (LLMs) for integrating time-series physiological data, clinical assessments, and natural language summaries in the context of endocrine disorders, with a focus on adrenal insufficiency. The project will:
Design and evaluate multimodal AI architectures that combine wearable-derived time-series signals, structured clinical data, and patient-generated language reports.
Explore advanced fusion strategies for integrating heterogeneous modalities into context-aware clinical decision support systems.
Create visual and language-based representations of complex patient data to support shared decision making (SDM) between patients, caregivers, and clinicians.
Conduct participatory research with ~40 patients living with adrenal insufficiency using surveys, interviews, and workshops.
Produce publishable contributions at the intersection of AI, Human-Computer Interaction, and Digital Health, with targeted venues including AAAI, ACL, NeurIPS, ICML, ACM CHI, and ICHI.
Contribute to ethical, explainable, and responsible deployment of multimodal LLMs in the management of endocrine diseases.
Research Fields:
Artificial Intelligence, Multimodal Machine Learning, Natural Language Processing, Human-Computer Interaction, Digital Health, Endocrinology
Secondments (Preliminary Plan):
UiB (Norway): 1–2 months — Patient and caregiver interviews, exploration of legal/ethical aspects, and integration of multimodal datasets.
Karolinska Institutet (Sweden): 1 month — Development and evaluation of tailored self-reporting and visualization interfaces for endocrine patients.
University Hospital Zurich (Switzerland): 1 month — Advanced analysis of patient-reported outcomes and integration with multimodal AI approaches.
Qualifications and personal qualities:
Required:
MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering
Strong expertise in Artificial Intelligence, Machine Learning, and Natural Language Processing
Experience with multimodal learning (integration of time-series, clinical, and textual data)
Demonstrated coding portfolio: GitHub link required
Excellent written and spoken English (working language of the project)
Compliance with MSCA mobility rule: applicants must not have resided or carried out their main activity in Spain for more than 12 months in the last 3 years before recruitment
Desirable:
Experience with LLMs, multimodal fusion, or explainable AI
Background in digital health or clinical datasets, ideally related to endocrine diseases
Record of publications or strong aspiration to publish in top-tier AI or HCI venues (AAAI, ACL, NeurIPS, ICML, ACM CHI, ICHI)
Interest in responsible AI and patient-centered healthcare innovation
Competitive salary according to MSCA / national regulations
Full social security coverage in host country
Dedicated budget for travel, training, and secondments
Excellent opportunities for international networking, cross-sector collaboration, and career development
Application procedure
All applications must be submitted via the Jobbnorge portal.
Your application must include the mandatory attachments from the ENDOTRAIN webpages - including
1. Application form" -
2. CV" -
3. Mobility declaration" -
4. Motivation Letter"
Eligibility (MSCA Doctoral Network rules)
Applicants can be of any nationality.
Must not have resided or carried out a main activity in the host country for more than 12 months in the past 36 months before start of the PhD.
Must hold a master’s degree (or equivalent) enabling doctoral studies.
Must not already hold a doctoral degree.
English proficiency required - transcripts of diplomas in English must be uploaded in Jobbnorge.
In the "Jobbnorge-CV": Only fill in the basics of your 1) personal details, 2) short information about your degrees (in the field "Education / academic qualifications") - in order to minimise repetition with the CV attachment.
It is a condition of employment that the master's degree has been awarded (documentation must be provided). If you have not yet completed your master's degree, you can apply provided completion of the final master exam before the position start date. Please submit a statement from your institution confirming the expected date of award of your master's degree.
For HR related questions contact the host institutions for the position you are applying
General information:
Informal inquiries may be directed to: Dr. Luis Fernandez-Luque luis@adherahealth.com (Adhera Health SL)
For questions about the ENDOTRAIN programme, please contact Programme Manager Elizabeth Farmer (elizabeth.farmer@uib.no)
For HR-related questions, please contact HR-adviser Selina Hausberg (selina.hausberg@uib.no)
Diversity and inclusion
MSCA -Endotrain has a gender equality plan where gender balance among employees is therefore a goal. We encourage women to apply. If multiple applicants have approximately equivalent qualifications, the rules pertaining to moderate gender quotas shall apply. It is also a goal to recruit people with immigrant backgrounds. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.
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.
About MSCA Doctoral Networks
The MSCA Doctoral Networks aim to train creative, entrepreneurial, innovative and resilient doctoral candidates, able to face current and future challenges and to convert knowledge and ideas into products and services for economic and social benefit. The MSCA Doctoral Networks raise the attractiveness and excellence of doctoral training in Europe. Read More about the MSCA Doctoral Networks.
