Uppsala University
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Postdoctoral Position in Simulation-Based Inference for Particle Physics at Uppsala University Uppsala University in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Temporary full-time postdoctoral employment for two years under a central collective agreement. The post includes generous support for conference travel and access to national HPC resources and local GPU infrastructure; no stipend or tuition funding is mentioned.
Deadline
Oct 15, 2026
Country
Sweden
University
Uppsala University
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About this position
Uppsala University is advertising a postdoctoral position in simulation-based inference for particle physics within the Division of Scientific Computing at the Department of Information Technology, in collaboration with the Theoretical Particle Physics group at the Department of Physics and Astronomy and SciLifeLab. The project sits at the intersection of machine learning, scientific computing, statistics, and physics, with a focus on developing robust and calibrated methods for simulation-based inference in searches for dark matter and other invisible new physics signals at the Large Hadron Collider.
The successful candidate will work with Associate Professor Prashant Singh and Professor Stefano Moretti in an international environment with access to national HPC resources (NAISS), local GPU infrastructure, and conference travel support. The research includes method development, implementation, large-scale computational experiments, publication in machine learning and physics venues, open-source software contributions, and participation in the eSSENCE graduate school in data-intensive science.
Eligibility highlights: a PhD in machine learning, scientific computing, statistics, physics, or a related field is required; the degree must be completed by the employment decision. Applicants should have strong Python and deep learning framework skills (e.g. PyTorch or JAX), documented experience in deep generative models and/or probabilistic modelling, excellent English, and strong self-motivation. Experience with likelihood-free inference, normalizing flows, flow matching, diffusion models, collider simulation tools, LHC data analysis, GPU/HPC training, and interdisciplinary collaboration is considered meriting.
Employment details: two-year temporary full-time postdoctoral appointment. Placement is in Uppsala, Sweden. The application deadline is 2026-10-15.
How to apply: submit a CV, degree documents, publication list, up to five selected publications, a one-page research statement, a one-page future research proposal, and contact information for two references through Uppsala University’s recruitment system.
Funding details
Temporary full-time postdoctoral employment for two years under a central collective agreement. The post includes generous support for conference travel and access to national HPC resources and local GPU infrastructure; no stipend or tuition funding is mentioned.
What's required
Applicants must hold a PhD degree in machine learning, scientific computing, statistics, physics, or a closely related field, or an equivalent foreign degree, by the time of the employment decision. Preference is given to candidates who completed the degree no more than three years before the deadline, with possible extensions for special circumstances. Required qualifications include documented experience in machine learning, especially deep generative models and/or probabilistic modelling, excellent Python programming skills with a modern deep learning framework such as PyTorch or JAX, excellent spoken and written English, and clear evidence of self-motivation. Meriting qualifications include simulation-based or likelihood-free inference, normalizing flows, flow matching or diffusion models, particle physics and collider tools, LHC data analysis, BSM phenomenology, GPU/HPC training, active learning, open-source development, interdisciplinary collaboration, and teaching experience.
How to apply
Prepare a CV, relevant degree documents, publication list, up to five selected publications, a one-page research statement plus one-page future work proposal, and contact details for two references. Submit the application through Uppsala University’s recruitment system before the deadline.
More information can be found here
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