Publisher
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Fredrik Johansson

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Postdoc in Machine Learning to Improve Decision Making Chalmers University of Technology in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Apr 10, 2026

Country flag

Country

Sweden

University

Chalmers University of Technology

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Where to contact

Official Email

Keywords

Computer Science
Information Technology
Medical Imaging
Mathematics
Decision Making
Artificial Intelligence
Mathematical Modeling
Medical Science
Reinforcement Learning
Causal Inference
Statistics
Applied Mathematic
Machine learning

About this position

Chalmers University of Technology invites applications for a postdoctoral position in machine learning to improve decision making, based in the Division of Data Science and AI, Department of Computer Science and Engineering. The successful candidate will join the Healthy AI Lab, led by Associate Professor Fredrik Johansson, a group dedicated to developing machine learning methods and theory for data-driven decision-making in healthcare. The department, a joint initiative with the University of Gothenburg, is renowned for its breadth in computing disciplines, international visibility, and strong industry links, fostering a collaborative and innovative research environment.

The research project focuses on fundamental aspects of data-driven decision-making, inspired by and applied to healthcare challenges. Current themes include transferable and interpretable models for tabular data, efficient learning paradigms for medical imaging, and causally grounded, identifiable representation learning. The group emphasizes theoretical rigor and offers significant freedom for the postdoc to shape their research agenda within these and related areas.

Applicants must hold a doctoral degree or equivalent foreign qualification, to be completed by the time of employment decision. Mandatory requirements include a strong publication record in top-tier conferences or journals (e.g., NeurIPS, ICML, CVPR, JMLR), expertise in mathematical modelling and analysis, and proficiency in software implementation for empirical validation. Teaching experience and demonstrated potential in research and education are expected. Preferred qualifications include a recent doctoral degree (within the last three years), experience in causal inference, decision-making, or reinforcement learning, and familiarity with transformer architectures.

The postdoc will conduct research aligned with the lab’s themes, assist in supervising PhD and MSc students, attend relevant conferences and events, and participate actively in group meetings and seminars. Teaching duties will comprise 20% of the position, including lecturing, TAing, or student supervision. The role is designed to be meritorious for future academic, industry, or public sector positions.

The position is a full-time, temporary employment for two years, with the possibility of a one-year extension. Physical presence in Gothenburg is required throughout the appointment, and a valid residence permit must be presented by the start date. Chalmers offers a dynamic and inspiring work environment, comprehensive employee benefits, and support for settling in Sweden, including Swedish language courses. The university is committed to gender balance, equality, and inclusion, with active initiatives such as the GENIE project.

To apply, candidates should submit their application in English, attaching PDF files including a comprehensive CV (with publication list and teaching experience) and a personal letter outlining previous research and future goals. Applications must be submitted via the online application form; incomplete applications and those sent by email will not be considered. The deadline for applications is April 10, 2026. For further information, contact Associate Professor Fredrik Johansson at [email protected].

Chalmers University of Technology is a leading institution in technology and natural sciences, with a strong commitment to scientific excellence, sustainability, and innovation. Located in Gothenburg, Sweden, the university offers education and research opportunities in engineering, science, shipping, and architecture, fostering global engagement and entrepreneurship.

Funding details

Available

What's required

Applicants must have a doctoral degree or an equivalent foreign degree, to be completed by the time of employment decision. Experience publishing in top-tier conferences or journals in relevant fields (e.g., NeurIPS, ICML, ICLR, JMLR, CVPR, etc.) is mandatory. Strong background in mathematical modelling and analysis, and proficiency in software implementation for empirical validation are required. Teaching experience and potential in research and education are expected. Preferred qualifications include a doctoral degree obtained within the last three years, experience in causal inference, decision-making, or reinforcement learning research, and experience training or tuning transformer architectures. Physical presence in Gothenburg is required throughout employment. A valid residence permit must be presented by the start date.

How to apply

Prepare your application in English and attach as PDF files. Submit a comprehensive CV including a complete list of publications and details of teaching experience. Include a personal letter summarizing previous research and outlining future goals. Use the application form via the provided link; incomplete applications and those sent by email will not be considered.

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