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Jan Ellenberg

Just Landed

Posted Yesterday

Postdoctoral Researcher in AI Modeling of Cellular Dynamics, Alpha Cell Program Karolinska Institutet in Sweden

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fully funded for 3 years (employment time 2+1 year).

Deadline

Nov 29, 2026

Country flag

Country

Sweden

University

Karolinska Institutet

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Keywords

Computer Science
Biomedical Engineering
Deep Learning
Biology
Mathematics
Artificial Intelligence
Computational Biology
Precision Medicine
Single-cell Analysis
Medical Science
Dynamical Systems
Artificial Neural Network
Cytoskeleton Dynamics
Metabolomic
Physics
Transcriptomic

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About this position

Alpha Cell is a new SciLifeLab strategic program building the first molecular-level computational model of the human cell. This postdoctoral project is embedded in Avlant Nilsson’s research group at Karolinska Institutet and SciLifeLab, with the work also connected to the broader Alpha Cell constellation led by Jan Ellenberg and Mathias Uhlen.

The research focuses on developing interpretable AI models of molecular networks and cellular dynamics. The successful applicant will work on scalable neural network architectures that represent the molecular composition of a single cell across space and time, aiming to capture high-dimensional systems with many interacting components. The project explicitly emphasizes method development and may use multiscale and coarse-grained representations to improve scalability.

A central scientific goal is to integrate imaging data with molecular measurements while building physical and biological constraints directly into the model architecture. The work is situated at the intersection of deep learning, dynamical systems, and computational modeling of cellular behavior, with potential applications to future large-scale molecular imaging and modeling efforts.

The project is carried out in close collaboration with Wei Ouyang’s AICell Lab at KTH and SciLifeLab and the Human Protein Atlas, and it has access to advanced computational infrastructure including the Berzelius supercomputer. The position is based at Karolinska Institutet in Solna and offers substantial methodological independence within a creative, interdisciplinary research environment.

Funding details

Fully funded for 3 years (employment time 2+1 year).

What's required

A PhD or foreign degree equivalent to a Swedish PhD is required by the time of the employment decision. The completed doctoral degree should normally be within the last three years, although earlier completion may be accepted for special reasons. Required qualifications include a PhD in computational biology, physics, applied mathematics, machine learning, or a related field; strong programming skills such as Python and experience with modern ML frameworks; ability to conduct independent research and collaborate in an interdisciplinary environment; and proficiency in written and spoken English. Desirable qualifications include experience with complex, high-dimensional dynamical systems, physics-informed or constraint-based machine learning such as neural ODEs, deep learning for image data, and biological data such as proteomics or single-cell data. Prior biological experience is not required, and applicants from quantitative disciplines are especially encouraged.

How to apply

Submit the application through the Varbi recruitment system. Include a PhD certificate, a complete resumé with thesis and academic details, a complete list of publications, and a summary of current work of no more than one page. Documents must be in English or Swedish.

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Professors

Professor at Karolinska Institutet

University Name
Country flag

Sweden

Research Interests

Biochemistry

Cell Biology

Computational Biology

Deep Learning

Omics