About the position At the Centre for Precision Psychiatry, Institute of Clinical Medicine, University of Oslo, there is a full-time,
2,5 years position available as a Researcher in artificial intelligence (AI), statistical modelling, and computational method development. We invite applications from highly motivated candidates with a strong background in mathematics, statistics, computer science, data science, artificial intelligence, machine learning, computational modelling, engineering, physics, bioinformatics, or a related quantitative discipline. The position is part of an international and interdisciplinary research environment at the forefront of AI-driven precision neuroscience and precision medicine. The position is part of a collaborative effort between the University of Oslo, Oslo University Hospital, UC San Diego, the J. Craig Venter Institute (JCVI), and affiliated partners. The successful candidate will contribute to the development, implementation, and application of computational and AI-based methods for integrating multimodal brain imaging, genomics, registry, clinical, and other biomedical data, with the aim of improving understanding, prediction, and risk stratification of dementia, Alzheimer’s disease, and related neuropsychiatric disorders. The position is linked to the “ResiliDem” project and the “Talent Utland” programme, funded by the Research Council of Norway. This is a unique opportunity to work on next-generation AI and statistical modelling approaches for large-scale, longitudinal, and potentially federated datasets, bridging computational innovation, biology, and clinical applications. More about the position The Centre for Precision Psychiatry is dedicated to research on severe mental and neuropsychiatric disorders. The Centre runs multidisciplinary studies involving hospital departments in Oslo, research groups at the University of Oslo, and international collaborators. The main goal is to develop tools and knowledge for precision medicine in brain disorders, using advanced statistical methods and AI tools for the analysis of large-scale genetic, neuroimaging, registry, clinical, and molecular data. The Centre has access to large datasets including biomarkers, clinical and cognitive variables, genotyping and sequencing data, and MRI brain imaging data. In addition, we work closely with national population cohorts such as Tromsø, HUSK, and HUNT, Nordic registry and biobank resources, and large international consortia including PGC, ENIGMA, ADNI, NBDC, UK Biobank and others. We also collaborate with international partners at UC San Diego and the J. Craig Venter Institute, and with leading industry partners such as Nvidia, OpenAI, and Microsoft. For more information about the Centre, please visit our website: Centre for Precision Psychiatry - Centre for Precision Psychiatry The researcher hired for this position will work in a multidisciplinary team including clinicians, neuroscientists, geneticists, statisticians, applied mathematicians, AI researchers, and computer scientists. The candidate will contribute to computational method development, statistical modelling, machine learning, and AI-based analysis of large and complex biomedical datasets. The work will include development, implementation, testing, documentation, and application of reproducible analytical pipelines. The candidate will work with the Centre’s datasets, analytical methodology, and computational tools, including state-of-the-art data storage and research infrastructure hosted at the USIT TSD service, with access to high-performance GPU computing resources for large-scale AI and deep-learning applications: Services for sensitive data (TSD) - University of Oslo Our research environment is international, friendly, and inspiring, and the position represents a unique opportunity for career development for a motivated candidate with strong quantitative and computational skills. Main responsibilities Develop, implement, and evaluate machine learning, statistical modelling, and AI-based methods for the analysis of complex biomedical and multimodal data. Contribute to method development for precision prediction, risk stratification, longitudinal modelling, and integration of genetic, imaging, clinical, registry, and behavioural data. Perform data processing, quality control, harmonization, feature engineering, and model validation using large-scale datasets such as UK Biobank, NBDC, All of Us, HUNT, HUSK, and other Norwegian, Nordic, and international resources. Develop and maintain reproducible analytical pipelines in collaboration with researchers, postdoctoral fellows, and international partners, including collaborators at UC San Diego. Contribute to AI-based and potentially federated/online analytical frameworks for secure analysis across computational environments and research partners. Collaborate with clinicians, neuroscientists, geneticists, statisticians, and computer scientists to interpret findings and support applications in early diagnosis, prediction, and patient stratification. Contribute to scientific reports, presentations, manuscripts, documentation, and project deliverables. Qualifications Required skills Appointment to the position of Researcher in position code 1108 requires a university education equivalent to a master's level in mathematics, statistics, computer science, physics, bioinformatics, or a related quantitative discipline. Appointment to the position of Researcher in position code 1109 requires a university education equivalent to a PhD in one of the fields above or similar. Strong programming skills in Python, R, MATLAB, Julia, or similar programming languages, with emphasis on data analysis, statistical modelling, and AI/machine learning. Solid background in machine learning, statistical modelling, deep learning, computational modelling, or advanced quantitative data analysis. Experience with handling, analysing, or modelling large and complex datasets. Experience with reproducible research practices, including documentation, structured analytical workflows, and version control. Excellent proficiency in written and spoken English. Preferred skills Experience with AI/machine-learning frameworks such as PyTorch, TensorFlow, JAX, Scikit-learn, or related tools, and/or high-performance computing environments. Experience with multimodal data integration, longitudinal or prediction modelling, foundation models, federated learning, or other advanced computational/AI approaches. Experience with human genetics, omics, brain imaging, registry, clinical, or other biomedical datasets, preferably related to neuroscience, Alzheimer’s disease, or precision medicine. A strong scientific publication record in machine learning, computational methods, biomedical data science, neuroscience, or related quantitative fields. Personal characteristics We need different perspectives in our work UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no . We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues—could you be the next one? We will provide appropriate accommodations should you need them. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures. If you have an immigrant background, a disability, or CV gaps, we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian). The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. More information about gender equality initiatives at UiO can be found here. We hope you will apply for the position with us. We offer Exciting and meaningful tasks in an organization with an important societal mission, contributing to knowledge development, education, and enlightenment that promote sustainable, fair, and knowledge-based societal development. A pleasant and stimulating work environment. Good welfare schemes. Opportunity of up to 1.5 hours a week of exercise during working hours. A workplace with good development and career opportunities. Membership in the Statens Pensjonskasse , which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes. Salary in position as Researcher, position code 1108 in salary range from NOK 600 000 to 680 000 / position code 1109 in salary range NOK from 620 000 to 750 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund. Read more about the benefits of working in the public sector at Employer Portal . Application Your application should include: Application letter CV A complete list of publications Transcripts and certificates Contact information for 2-3 references Your CV must be entered in Jobbnorge’s CV form and cannot be submitted only as an attachment. This requirement is intended to ensure correct documentation and record-keeping in accordance with the Public Administration Act, Section 15. Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job". When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no . If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language. General information Please note that we are unable to add documentation after the application deadline. As the deadline applies equally to all applicants, this policy ensures equal treatment throughout the recruitment process. If you experience difficulties uploading documents in Jobbnorge, please contact their customer service: Phone: +47 75 54 22 20 or Email: support@grade.com The primary method of communication throughout the process will be e-mails and messages through the recruitment system Jobbnorge. When you receive a notification of a message in Jobbnorge, please log in to read it, as it may be important. The best qualified candidates will invited for interviews. Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we cannot, you will hear from us. Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian) and Rules for the use of research posts SKO 1108, 1109, 1110 and 1183 at UiO. The University of Oslo has a transfer agreement with all employees to secure the rights to all research results and related intellectual property. University of Oslo The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 26 500 students and 7 200 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society. The Institute of Clinical Medicine (Klinmed) is one of three institutes under the Faculty. Klinmed is responsible for the Faculty's educational and research activities at Oslo University Hospital and Akershus University Hospital. With about 900 employees spread over approximately 425 man-labour years, Klinmed is the university's largest institute. Our activities follow the clinical activity at the hospitals and are spread across a number of geographical areas.
