The University of Bergen, in partnership with Adhera Health SL (Spain), invites applications for a PhD Research Fellow position in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making, as part of the prestigious Marie Skłodowska-Curie Doctoral Network ENDOTRAIN. This three-year, fully funded position is based in Spain and coordinated by the University of Bergen, Norway, with a start date no later than August 2026. ENDOTRAIN is Europe’s first doctoral network in digital endocrinology, integrating artificial intelligence, sensor technology, omics, and clinical medicine to revolutionize the diagnosis and treatment of adrenal diseases. The network aims to 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 uses adrenal disorders as a case study to advance digital health across Europe. This PhD project is part of Work Package 2 – Technologies for Multimodal Data. The research will focus on developing and evaluating multimodal AI architectures that integrate wearable-derived time-series signals, structured clinical data, and patient-generated language reports. The goal is to create context-aware clinical decision support systems and visual/language-based representations of complex patient data to facilitate shared decision making among patients, caregivers, and clinicians. The project includes participatory research with approximately 40 patients living with adrenal insufficiency, using surveys, interviews, and workshops. Expected outcomes include publishable contributions at the intersection of AI, Human-Computer Interaction, and Digital Health, targeting top 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 key focus. Secondments are planned at leading European institutions: 1–2 months at UiB (Norway) for patient and caregiver interviews and legal/ethical exploration; 1 month at Karolinska Institutet (Sweden) for interface development and evaluation; and 1 month at University Hospital Zurich (Switzerland) for advanced analysis of patient-reported outcomes and multimodal AI integration. 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 with multimodal learning and strong programming skills (Python, PyTorch/TensorFlow) are required, along with a demonstrated coding portfolio (GitHub link). Excellent English proficiency is essential. Compliance with the MSCA mobility rule is mandatory: 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 qualifications include experience with LLMs, multimodal fusion, or explainable AI, background in digital health or clinical datasets (ideally related to endocrine diseases), publication record or strong aspiration to publish in top-tier AI or HCI venues, and interest in responsible AI and patient-centered healthcare innovation. The position offers a competitive salary according to MSCA and national regulations, full social security coverage in the host country, and a dedicated budget for travel, training, and secondments. The programme provides excellent opportunities for international networking, cross-sector collaboration, and career development. Applications must be submitted via the Jobbnorge portal, including all mandatory attachments from the ENDOTRAIN webpages: application form, CV, mobility declaration, and motivation letter. Eligibility requirements include holding a master’s degree (or equivalent) enabling doctoral studies, not already holding a doctoral degree, and English proficiency (transcripts of diplomas in English must be uploaded). If the master’s degree is pending, a statement from the institution confirming the expected award date must be provided. Diversity and inclusion are core values of the MSCA ENDOTRAIN network, with a gender equality plan and encouragement for women, people with immigrant backgrounds, and people with disabilities to apply. For further details, visit the programme webpage or contact Dr. Luis Fernandez-Luque at Adhera Health SL.

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.

The University of Bergen, in partnership with Adhera Health SL (Spain), invites applications for a PhD Research Fellow position focused on Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making, as part of the ENDOTRAIN Doctoral Network (DC7). This prestigious opportunity is funded by the European Commission through the MSCA Doctoral Network Endotrain and offers a unique interdisciplinary training environment at the intersection of artificial intelligence, digital health, and endocrinology. The successful candidate will join Europe’s first doctoral network in digital endocrinology, which integrates AI, sensor technology, omics, and clinical medicine to transform the diagnosis and treatment of adrenal diseases. The project is embedded in Work Package 2 – Technologies for Multimodal Data, and aims to advance the development of multimodal Large Language Models (LLMs) that integrate time-series physiological data, clinical assessments, and natural language summaries, with a particular focus on adrenal insufficiency. Key research tasks include designing and evaluating multimodal AI architectures that combine wearable-derived time-series signals, structured clinical data, and patient-generated language reports; exploring advanced fusion strategies for integrating heterogeneous modalities into context-aware clinical decision support systems; and creating visual and language-based representations of complex patient data to support shared decision making among patients, caregivers, and clinicians. The project involves participatory research with approximately 40 patients living with adrenal insufficiency, utilizing surveys, interviews, and workshops. The position offers excellent opportunities for international networking and collaboration, including secondments at UiB (Norway), Karolinska Institutet (Sweden), and University Hospital Zurich (Switzerland). The research outputs are expected to contribute to top-tier venues such as AAAI, ACL, NeurIPS, ICML, ACM CHI, and ICHI, and to promote ethical, explainable, and responsible deployment of multimodal LLMs in endocrine disease management. Applicants must hold a master’s degree (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering, with strong expertise in AI, machine learning, and NLP. Experience with multimodal learning, strong programming skills (Python, PyTorch/TensorFlow), and a demonstrated coding portfolio are required. English proficiency is essential, and compliance with the MSCA mobility rule is mandatory. Desirable qualifications include experience with LLMs, multimodal fusion, explainable AI, digital health, and a record of publications or strong aspiration to publish in leading AI or HCI venues. The position provides a competitive salary according to MSCA and national regulations, full social security coverage, and a dedicated budget for travel, training, and secondments. Diversity and inclusion are core values of the programme, with active encouragement for women, people with immigrant backgrounds, and people with disabilities to apply. Applications must be submitted via the Jobbnorge portal, including all mandatory attachments: application form, CV, mobility declaration, and motivation letter. Documentation of the master’s degree is required, and candidates with pending degrees must provide a statement confirming the expected award date. For further information, contact Dr. Luis Fernandez-Luque at Adhera Health SL or refer to the ENDOTRAIN programme webpages.

The University of Bergen, in partnership with Adhera Health SL (Spain), invites applications for a PhD Research Fellow position focused on Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making, as part of the ENDOTRAIN Doctoral Network (DC7). This prestigious opportunity is funded by the European Commission through the MSCA Doctoral Network Endotrain and coordinated by the University of Bergen, Norway. The successful candidate will be enrolled in the structured PhD programme at UiB and based in Spain, with a start date no later than August 2026 and a duration of three years. ENDOTRAIN is Europe’s first doctoral network in digital endocrinology, integrating artificial intelligence, sensor technology, omics, and clinical medicine to revolutionize the diagnosis and treatment of adrenal diseases. The programme aims to 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 focus is on adrenal disorders as a case study for advancing digital health in Europe. The PhD project, part of Work Package 2 – Technologies for Multimodal Data, 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 particular emphasis on adrenal insufficiency. Key research tasks include designing and evaluating multimodal AI architectures that combine wearable-derived time-series signals, structured clinical data, and patient-generated language reports; exploring advanced fusion strategies for integrating heterogeneous modalities into context-aware clinical decision support systems; and creating visual and language-based representations of complex patient data to support shared decision making between patients, caregivers, and clinicians. The project involves participatory research with approximately 40 patients living with adrenal insufficiency, utilizing surveys, interviews, and workshops. The candidate will be expected to produce publishable contributions at the intersection of AI, Human-Computer Interaction, 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 the management of endocrine diseases is a core component of the research. Secondments are planned at UiB (Norway) for patient and caregiver interviews and integration of multimodal datasets, Karolinska Institutet (Sweden) for development and evaluation of tailored self-reporting and visualization interfaces, and University Hospital Zurich (Switzerland) for advanced analysis of patient-reported outcomes and integration with multimodal AI approaches. 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 with multimodal learning, strong programming skills (Python, PyTorch/TensorFlow), and a demonstrated coding portfolio (GitHub link) are required. Excellent written and spoken English is essential. Compliance with the MSCA mobility rule is mandatory. Desirable qualifications include experience with LLMs, multimodal fusion, explainable AI, digital health or clinical datasets, publication record or aspiration, and interest in responsible AI and patient-centered healthcare innovation. The position offers a competitive salary according to MSCA/national regulations, full social security coverage in the host country, and a dedicated budget for travel, training, and secondments. The programme provides excellent opportunities for international networking, cross-sector collaboration, and career development. Applications must be submitted via the Jobbnorge portal, including all mandatory attachments from the ENDOTRAIN webpages: application form, CV, mobility declaration, and motivation letter. Eligibility criteria must be met, and documentation of the master's degree provided. If the degree is pending, a statement confirming the expected award date is required. For informal inquiries, contact Dr. Luis Fernandez-Luque at Adhera Health SL. Diversity and inclusion are core values of the MSCA-Endotrain programme, with a gender equality plan and encouragement for women, people with immigrant backgrounds, and people with disabilities to apply. The MSCA Doctoral Networks aim to train creative, entrepreneurial, and resilient doctoral candidates, raising the attractiveness and excellence of doctoral training in Europe.