PhD Position in Computer Science: Large Language Models in Health at Örebro University Örebro University in Sweden

Örebro University invites applications for a fully funded PhD position in Computer Science, focusing on the application of large language models (LLMs) in health-related domains. The successful candidate will join the Machine Perception and Interaction Lab, a multidisciplinary research group at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. This project is part of a collaborative research environment involving Örebro University, Karolinska Institutet, and Region Skåne, integrating expertise in AI, epidemiology, and psychiatry.

The research will center on developing innovative AI methods for processing unstructured medical text and register-based health data, aiming to improve prediction, prevention, and individualized treatment in youth mental health. The PhD student will work with advanced techniques such as retrieval-augmented generation (RAG) and causal machine learning, contributing to the responsible and ethical use of LLMs in healthcare, with a strong emphasis on data privacy.

The doctoral programme consists of both coursework and an independent research project, culminating in a doctoral thesis. The programme is designed to be stimulating and purposeful, offering a thorough introduction, tailored seminar series in computer science, and opportunities for networking and career development. The position is linked to a full-time doctoral studentship, guaranteeing employment for four years (subject to satisfactory progress), with an initial monthly salary of SEK 32,300.

Applicants must hold a second-cycle qualification (Master's degree or equivalent), with at least 240 ECTS credits, including 60 credits at the second-cycle level. Specific entry requirements include a Master of Science in Engineering or a one-year Master's degree in computer science or related subjects, or at least 120 credits including an independent project in a relevant field. Equivalent international qualifications are accepted. Candidates should demonstrate strong problem-solving, critical analysis, cooperative and communicative skills. Fluency in spoken and written English is essential; knowledge of Swedish is not required. Experience in natural language processing, large language models, machine learning, computational linguistics, or artificial intelligence is considered a merit.

Örebro University values diversity, equal opportunities, and a work environment characterized by openness, trust, and respect. The application is made online, and candidates must submit a description of research interests, CV, proof of meeting entry requirements, independent project, and other relevant documents. Documents must be in Swedish, Danish, Norwegian, or English; translations are required for other languages. The application deadline is January 9, 2026.

For further information, contact Prof. Amy Loutfi ([email protected]), Dr. Andreas Persson ([email protected]), or Dr. Martin Magnusson ([email protected]). More details and application instructions are available on the university's career site.