Arbetsbeskrivning

Örebro University and the School of Science and Technology are offering a doctoral student position in Computer Science. The position is expected to conclude with a doctoral degree. The doctoral student will be affiliated with the Machine Perception and Interaction Lab at Örebro University, which carries out multi-disciplinary research at the intersection of artificial intelligence, robotics, machine learning, and human-robot interaction. Project Description The focus of the project is artificial intelligence (AI) and specifically the use of large language models in health related domains. The successful candidate will contribute to developing new AI methods for processing unstructured medical text and register-based health data, with the aim of improving prediction, prevention, and individualized treatment in youth mental health. The project is part of an interdisciplinary research environment involving Örebro University, Karolinska Institutet, and Region Skåne, integrating expertise in AI, epidemiology, and psychiatry. The Ph.D. student will work with cutting-edge techniques such as retrieval-augmented generation (RAG) and causal machine learning, advancing the use of LLMs in healthcare under strong data privacy and ethical standards. The programme, doctoral studentship, entry requirements and selection To see the job advertisement in its entirety visit: https://www.oru.se/english/career/available-positions/job/?jid=20250373 Information For more information on the programme and the role, please contact Prof. Amy Loutfi, e-mail: [email protected], and/or Dr. Andreas Persson, [email protected] , for administrative issues please contact Dr. Martin Magnusson, e-mail: [email protected]. At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust, and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentships The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: • Description of research interests - explaining why you are interested in this project and why you would be a good candidate for the role (1 page) • CV • Proof that you meet the general and specific entry requirements (e.g. copies of the original certificate and official transcript for bachelor's and master's degrees) • Independent project (degree project) • Other relevant documents, course and degree certificates verifying eligibility As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), www.kammarkollegiet.se/engelska/start. When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found at out career site: https://www.oru.se/english/working-at-orebro-university/jobs-and-vacancies/applicants-and-external-experts/ The application deadline is 2026-01-09. We look forward to receiving your application! We decline any contact with advertisers or recruitment agencies in the recruitment process. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.