Simon Koplev
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Postdoc in Agentic AI for Spatial Biology of the Human Gut KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Funded by Digital Futures; the appointment is for at most two years and is a postdoctoral fellow position.
Deadline
Nov 29, 2026
Country
Sweden
University
KTH Royal Institute of Technology
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About this position
The Koplev lab at KTH Royal Institute of Technology and SciLifeLab is recruiting a postdoctoral researcher to develop computational methods for studying human tissue architecture using single-cell and spatial transcriptomics. The project sits at the intersection of artificial intelligence, machine learning, and spatial biology, with a focus on how cells organize into complex human tissues and how computational approaches can reveal that organization in health and disease.
The research is centered on human gastrointestinal disease, including Crohn's disease, ulcerative colitis, and colorectal cancer. A major aim is to build and evaluate autonomous AI scientist systems that can carry out end-to-end bioinformatics analysis: writing and executing code, assessing outputs, refining analytical strategies, and generating testable biological hypotheses. The postdoctoral researcher will therefore work on both method development and biological discovery, with the AI systems themselves forming a core part of the scientific challenge.
The role involves developing AI agents for automated analysis of single-cell and spatial transcriptomics data, integrating large-scale datasets across technologies, tissues, and diseases, and investigating mechanisms of tissue organization such as immune cell migration and intercellular signalling. The postdoc will also help disseminate findings through publications, conferences, and open-source software.
The position is embedded in a collaborative environment at the Department of Gene Technology and SciLifeLab. The wider research programme in the lab spans tissue architecture in the gastrointestinal tract, heart, and cardiovascular system, offering scope to shape new research directions aligned with the candidate's interests and expertise. The postdoc will also contribute to the group by mentoring students and supporting collaborative projects while building an independent research profile.
Funding details
Funded by Digital Futures; the appointment is for at most two years and is a postdoctoral fellow position.
What's required
A doctoral degree or an equivalent foreign degree is required and must be obtained by the time the employment decision is made. Applicants should have substantial research expertise in computational biology methods for single-cell or spatial transcriptomics data, a strong publication record relative to career stage, and experience developing or applying machine learning methods such as deep learning, foundation models, large language models, or autonomous AI agents. Preferred qualifications include a PhD obtained within the last three years, creativity, broad scientific curiosity, strong data visualization and scientific communication skills, exceptional collaboration, the ability to work independently, teaching or mentorship interest, and awareness of diversity and equal opportunity issues with a focus on gender equality.
How to apply
Log into KTH's recruitment system and submit the application through the advertised job portal. Include a CV, a brief motivation letter of up to two pages, and a copy of your PhD diploma. If your diploma is not in English or Swedish, provide an English or Swedish translation.
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Professors
Assistant Professor at KTH Royal Institute of Technology
Sweden
Research Interests
Statistics
Single-cell Analysis
Spatial Biology
Deep Learning
Ml
Assistant Professor at KTH Royal Institute of Technology
Sweden
Research Interests
Statistics
Artificial Intelligence
Biology
Biomedical Engineering
Ml
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.