Postdoctoral Position in Generative AI and Simulation, University of Copenhagen, Denmark.

Summary

The Department of Computer Science (DIKU) at the University of Copenhagen invites applications for a postdoctoral position as part of the Differentiable Realism from AI and Modeling (DREAM) project, financed by the Novo Nordisk Foundation. The position focuses on developing general self-supervised and unsupervised machine learning methods for biological data using differentiable simulations and generative AI.

Postdoctoral Position in Generative AI and Simulation-supervised Machine Learning for Biology, University of Copenhagen, Denmark.

Designation

Postdoctoral Researcher (Fixed-term)

Key Details

Research Area

Scientific machine learning, generative AI, biophysical simulation, self-supervised/unsupervised machine learning, representation learning, and biological image analysis.

Location

Department for Computer Science, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.

Eligibility/Qualification

Candidates must be highly motivated and hold a PhD (or equivalent research experience) in computer science, machine learning, scientific computing, physics, applied mathematics, engineering, computational biology, or a closely related field.

Relevant experience may include:

• Generative AI (diffusion models/flow matching, GANs, VAEs, normalizing flows, or energy-based models).
• Self-supervised, unsupervised, or semi-supervised learning and representation learning.
• Contrastive learning, masked modelling, domain adaptation, or unpaired translation.
• Synthetic-to-real learning, simulation-to-reality methods, or few-shot adaptation.
• Differentiable programming, automatic differentiation, and optimization in JAX, PyTorch, or similar frameworks.
• Computer vision, biological image analysis, or handling noisy high-dimensional scientific data.

Job Description

The aim of the DREAM project is to build methods that use unlabelled experimental data alongside differentiable simulations to generate realistic synthetic datasets, transferable representations, and robust downstream models.

• Candidates will conduct independent research and formulate general methodological questions.
• Responsibilities include writing and maintaining research software.
• The role involves collaborating with researchers on application-specific projects and working with experimental validation data (e.g., chromatin organization, microorganism tracking).
• The exact direction of the project will be defined in dialogue with the chosen candidate.

How to Apply

Applications must be written in English and submitted electronically through the University of Copenhagen application portal. Your application must include:

1. Motivated letter of application (max. one page).
2. Curriculum vitae (including education, research/software experience, language skills).
3. Diplomas for Master of Science and PhD degree (or a certified statement of expected completion).
4. One publication, project, or code repository that you are proud of.
5. Copy of your PhD thesis or thesis abstract (if available).
6. Name and email address of reference(s).
7. Publication list.
8. Reference letters (if available).

Last Date for Apply

September 15, 2026 (23:59 CET)

Link