Fully Funded PhD: Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (ENDOTRAIN MSCA Doctoral Network) University of Bergen in Norway

This fully funded PhD position is part of the ENDOTRAIN MSCA Doctoral Network and focuses on advancing multimodal Large Language Models (LLMs) for patient-generated data in shared decision making, specifically in the context of endocrine disorders such as adrenal insufficiency. The project is hosted by Adhera Health SL (Spain) in collaboration with the University of Bergen (UiB), Norway, and offers a unique interdisciplinary research environment with academic, clinical, and industry partners.

The research will be embedded in Work Package 2: Technologies for Multimodal Data, aiming to design and evaluate AI architectures that integrate wearable-derived time-series signals, structured clinical data, and patient-generated language reports. The project will explore advanced fusion strategies for heterogeneous modalities, develop context-aware clinical decision support systems, and create visual and language-based representations to facilitate shared decision making among patients, caregivers, and clinicians. Participatory research will be conducted with approximately 40 patients living with adrenal insufficiency, utilizing surveys, interviews, and workshops.

Key research areas include Artificial Intelligence, Multimodal Machine Learning, Natural Language Processing, Human-Computer Interaction, Digital Health, and Endocrinology. The project encourages publishable contributions at the intersection of AI, HCI, and digital health, targeting top-tier venues such as AAAI, ACL, NeurIPS, ICML, ACM CHI, and ICHI. Ethical, explainable, and responsible deployment of multimodal LLMs in endocrine disease management is a core focus.

The position includes secondments at UiB (Norway), Karolinska Institutet (Sweden), and University Hospital Zurich (Switzerland), providing opportunities for international collaboration, patient and caregiver interviews, legal/ethical exploration, and advanced analysis of patient-reported outcomes. The doctoral candidate will be enrolled in the PhD programme at UiB and participate in the ENDOTRAIN network's interdisciplinary training, including advanced scientific and transferable skills courses, workshops, summer schools, and retreats.

Applicants must hold an MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering, with strong expertise in AI, machine learning, and NLP, experience in multimodal learning, and excellent programming skills (Python, PyTorch/TensorFlow). A coding portfolio (GitHub link) and proficiency in English are required. Compliance with the MSCA mobility rule is mandatory. Desirable qualifications include experience with LLMs, multimodal fusion, explainable AI, digital health, clinical datasets, and a publication record or aspiration to publish in top AI/HCI venues.

The position offers a 3-year full-time employment contract under Spanish labour regulations, covering tuition fees, training support, research costs, secondments, and travel allowances. The gross salary range is 28,000–30,000 EUR/year, including MSCA Living Allowance, Mobility Allowance, and Family Allowance (if applicable). Doctoral candidates are fully integrated into the Spanish Social Security system, with public health insurance, pension contributions, unemployment insurance, maternity/paternity leave, occupational accident and illness insurance, and standard employment rights.

Applications must be submitted via the Jobbnorge portal with all mandatory attachments. For more information, visit the project page. The application deadline is February 15, 2026, and the latest start date is August 2026.