Staff scientist in Computer Science with focus on AI trustworthiness modeling in multimodality

Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.

The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.

The Department of Computing Science at Umeå University is an international environment for research and education covering a broad spectrum of computer science. The department is internationally renowned for its excellent research and education. We are affiliated with WASP – Sweden’s largest individual research program of all time, coordinate its sister program WASP-HS, which focuses on the consequences of emerging technologies, and are a strong partner in the national strategic research program eSSENCE. We value diversity and actively work to promote an inclusive work environment with a high level of engagement. Read more at: Department of Computing Science .

This staff scientist position is connected to the research group and is funded by the European project COMFORT (Improve Diagnosis and Treatment of Urologic Cancers with Artificial Intelligence-Driven Decision Support Tool). COMFORT (www.comfort-ai.eu ) is developing a cutting-edge decision support system using artificial intelligence (AI) and data-driven approaches to assist medical professionals in delivering improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). 

This position will focus on modeling AI trustworthiness and explainability in medical data and models (mainly imaging data), with particular emphasis on fairness and privacy.   Duties and responsibilities may change over time.

The successful candidate will be part of the Deep Data Mining group and Responsible Artificial Intelligence group at the Department of Computing Science. More info about the research groups: https://www.umu.se/en/department-of-computing-science/research/research-groups/ .

The successful candidate should hold a doctoral degree in computer science, mathematics, engineering physics, or an equivalent field.

Requirements

• Comprehensive knowledge and practical skills in the field of data science, especially. multimodal data analysis.
• Experience on image processing (especially on MRI data) via machine learning.
• Programming skills (e.g., Python) are required.
• Ability to communicate effectively in both spoken and written English.

Merits

• Research experience on natural language processing, causal inference.
• Research experience on medical domain.
• Knowledge of AI trustworthiness-related topics (e.g., fairness or explainable).

A full application should include:

• cover letter in which you provide a brief description of your research interests and a statement describing why you are interested in the position,
• curriculum vitae (CV) with publication list,
• verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained,
• verified copies of other diplomas, list of completed academic courses and grades,
• copy of doctoral thesis and up to five relevant articles,
• other documents that the applicant wishes to claim,
• contact information to two persons willing to act as references.

The application must be written in English or Swedish and is made through our electronic recruitment system. Documents sent electronically must be in Word or PDF format. Log in to the system and apply via the button at the end of this page. The closing date is April 10, 2026.

For further information, please contact associate professor Lili Jiang (lili.jiang@umu.se ) or professor Virginia Dignum (virginia@cs.umu.se ).

The position is fixed-term until 2027-03-31. The starting date is 2026-05-01 or as agreed.

Welcome with your application!