Wei Ouyang

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.

KTH Royal Institute of Technology is advertising a doctoral student position in Cell and Molecular Biology Research within the third-cycle subject Biological Physics . The project is hosted by the AICell Lab in the Department of Applied Physics and is connected to Science for Life Laboratory . The lab combines wet-lab cell biology with automated experimental platforms and AI-driven analysis to study biological systems in an interdisciplinary environment. The research group, led by Wei Ouyang , is opening two biology-focused doctoral positions . The projects will be shaped together with the selected student at the start of the studies, allowing room to align the research with the student’s scientific interests. The work is centered on experimental cell biology and includes cell culture, perturbation studies, microscopy, and related molecular biology methods, together with interpretation of results in a broader biological context. Doctoral students will work closely with colleagues in automation, computation, and AI-driven analysis. The position offers the chance to contribute to publications and to broader scientific dialogue in cell and molecular biology while developing skills at the interface of biology, physics, and data-driven experimentation. The advertised environment emphasizes curiosity, interdisciplinary collaboration, and the ability to drive scientific questions forward. Supervision is proposed by Professor Hjalmar Brismar and Assistant Professor Wei Ouyang . Eligibility requires a second-cycle degree or equivalent, with special eligibility in cell biology, molecular biology, biochemistry, biotechnology, biomedicine, biophysics, or a closely related life-science field. Applicants must also meet the English requirement equivalent to English B/6 . The selection process gives weight to a strong biological foundation, practical experience with experimental biological work, willingness to collaborate across disciplines, good English communication skills, and personal qualities such as perseverance and a professional approach. Basic Python/R skills are considered merit, but are not required. Funding and employment : the position is a full-time temporary doctoral appointment. Salary is according to KTH’s doctoral student salary agreement. The total employment period may not exceed the time corresponding to full-time doctoral education over four years, with renewals possible under KTH rules. Application must be submitted through KTH’s recruitment system by 2026-10-15 . Required documents include diplomas and grades, evidence of language requirements, a CV, a short motivation letter, representative publications or technical reports, and a GitHub/GitLab ID. Applications must be complete and submitted before the closing date.