About this role
Umeå University is one of Sweden's largest academic institutions with over 37,000 students and approximately 4,700 employees. The university offers a diversity of high-quality educational programs and world-leading research across multiple scientific domains, including the groundbreaking discovery of the CRISPR-Cas9 gene scissor, which was awarded the Nobel Prize in Chemistry. At Umeå University, everything is close. Our compact campus makes it easy to meet, collaborate, and exchange knowledge, which fosters a dynamic and open culture.
The societal transformation and major green investments we see in northern Sweden create enormous opportunities and complex challenges. For Umeå University, this means conducting research about – and in the midst of – a society in transformation. It also involves delivering educational programs for regions that need to expand quickly and sustainably. This is simply where the future is created.
Interested in learning more? https://www.umu.se/jobba-hos-oss/om-universitetet-som-arbetsplats/
Department of Computing Science Seeks Postdoctoral Researcher in AI Reliability Modeling for Medical Domain
The position is full-time for two years, starting in February 2026 or by agreement. Application deadline is November 28, 2025.
Department of Computing Science
At our department, which conducts research at the highest international level and offers several high-quality educational programs in computer science, we are now seeking a postdoctoral researcher focusing on AI reliability modeling for multimodal data and machine learning models.
The Department of Computing Science has experienced expansive growth in recent years. Creating an inclusive research environment where employees have high participation is a crucial factor in our sustainable development. Our department consists of a diverse group of people from different nationalities, backgrounds, and fields. As a postdoctoral researcher with us, you will have access to career development support, networks, administrative and technical support, and good employment conditions.
For more information, visit:
https://www.umu.se/institutionen-for-datavetenskap/
Interested? Welcome to submit your application before November 28, 2025.
Project Description and Responsibilities
This position is funded by the European COMFORT project (http://www.comfort-ai.eu) and AI Policy Lab at Umeå University (http://www.aipolicylab.se).
COMFORT (Improve Diagnosis and Treatment of Urologic Cancers with Artificial Intelligence-Driven Decision Support Tool) develops a groundbreaking AI-driven decision support system to help healthcare professionals provide improved care for individuals affected by prostate cancer (PCa) or kidney cancer (KC).
The first phase of this postdoctoral research will focus on modeling AI reliability and explainability in medical data and models, with particular emphasis on fairness and privacy. The second phase will investigate how AI governance and policy can be integrated with the first phase results.
The successful candidate will be part of the Responsible Artificial Intelligence and Deep Data Mining research groups at the Department of Computing Science, collaborating with researchers in data science, machine learning, and responsible AI. More information about research groups: https://www.umu.se/en/department-of-computing-science/research/research-groups/
Qualifications
To be employed as a postdoctoral researcher, a doctoral degree or foreign equivalent must be completed, to be verified by the time of employment decision.
Candidates who have completed their doctoral degree within the last three years are primarily considered. Special circumstances may allow candidates who completed their doctorate earlier, including parental leave, medical leave, union responsibilities, total defense service, or other similar circumstances.
The successful candidate must have a doctoral degree or foreign equivalent in computer science, mathematics, or technical physics.
Requirements:
• In-depth knowledge and practical skills in computer science, especially multimodal data analysis
• Experience with machine learning-based image processing
• Programming skills (e.g., Python)
• Ability to communicate effectively in spoken and written English
Advantageous:
• Research background in natural language processing, causal inference
• Research background in medical domains
• Knowledge of AI reliability topics (e.g., fairness or explainability)
• Knowledge of AI governance
Application
A complete application should include:
- Personal letter describing research interests and motivation
- Curriculum Vitae (CV) including publication list
- Certified copy of doctoral degree or documentation of expected completion
- Certified copies of other degree certificates, academic course certificates
- Doctoral thesis copy and up to five relevant articles
- Other supporting documents
- Contact information for two references
Applications