PhD/Postdoctoral Opportunities in Regulatory Genomics, CNS Regeneration, and Machine Learning at Karolinska Institutet Karolinska Institutet in Sweden

Karolinska Institutet’s Llorens laboratory is recruiting for multiple openings in regulatory genomics, CNS regeneration, single-cell and spatial genomics, comparative genomics, and deep learning / machine learning applied to neural repair and gene regulation.

The post highlights three opportunities: a Computational Postdoc focused on comparative genomics, GRN inference, and deep learning; a Wet lab Postdoc focused on cross-species regenerative biology; and a Computational Research Assistant working on genomics and deep learning for gene therapy projects linked to CNS disease. The linked KI vacancies also include a Postdoctoral studies in regulatory genomics in neuroscience scholarship and a Postdoctoral position in CNS regeneration.

The lab studies how gene expression regulation can be repurposed for regeneration in the mammalian central nervous system. Projects use glial biology, stem cell biology, molecular engineering, animal models, single-cell multiomics, spatial genomics, transcriptomics, epigenomics, and sequence-to-function modelling to understand injury response and repair mechanisms. The lab is based in the Department of Cell and Molecular Biology at Karolinska Institutet in Stockholm/Solna, Sweden.

Funding varies by opening. The scholarship-based postdoctoral opportunity is tax free and paid in 12-month blocks, with a maximum of two years within a four-year period after the doctorate. The employment-based postdoctoral and research assistant roles are full-time positions with salary; no stipend amount is stated in the post.

Eligibility differs by role. The scholarship requires a foreign researcher coming to Sweden and a completed doctorate or equivalent before the start date. The postdoctoral employment requires a PhD or equivalent, with recent completion advantageous. The research assistant role requires an MSc in bioinformatics, computational biology, biotechnology, or a related field, plus experience with single-cell/spatial genomics and R/Python.

Applications are submitted through the Varbi recruitment system. The deadline stated in the post and KI vacancies is 31 August 2026. Required materials include a CV/resumé, publication list, references, and a summary of current work; some openings also request a motivation letter or application-form responses.