Linköping University
5 days ago
PhD Student in Medical Science, AI and Bioinformatics Linköping University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
PhD employment at Linköping University with a duration normally of four years full-time equivalent, extendable up to five years depending on teaching and institutional duties. Salary follows a locally negotiated PhD salary progression; employment benefits are available.
Deadline
Oct 30, 2026
Country
Sweden
University
Linköping University
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About this position
Linköping University in Sweden is advertising a PhD student position in Medical Science, AI and Bioinformatics. The project sits at the intersection of artificial intelligence, computational biology, systems medicine, precision health, single-cell analysis, and multi-omics.
The research aims to develop AI foundation models for integrative single-cell and multi-omics analysis to better understand how molecular and cellular processes are coordinated across cells, tissues, and organ systems in human health and disease. The successful candidate will work with large-scale datasets and develop advanced computational methods to study cellular and tissue-specific signalling, molecular communication, and systemic molecular networks, with an emphasis on biologically interpretable predictive models.
The position is hosted in the research group led by Associate Professor Wen Zhong in the Division of Cell and Neurobiology, Department of Biomedical and Clinical Sciences at Linköping University. The group focuses on integrative multi-omics, genetic variation and human phenotypes, and AI-driven approaches for understanding human biology and disease.
Applicants should have a Master’s degree in AI, Bioinformatics, Systems Biology, or a related field, or equivalent coursework/knowledge. Strong skills in Python and/or R, experience with deep learning, machine learning, or large-scale omics data analysis, and fluent English are required. Helpful but non-essential experience includes foundation models, transformers, generative models, representation learning, single-cell omics, genomics, proteomics, metabolomics, PyTorch, HPC, and knowledge of molecular/cellular biology or precision medicine.
The employment is normally for four years full-time, with possible extension up to five years depending on teaching and institutional duties. Salary follows a locally negotiated PhD salary progression, and university employment benefits apply.
Deadline: 2026-10-30. Apply via the university’s online portal and include a letter of intent describing your fit for the project and a brief research direction you would like to explore during the PhD.
Funding details
PhD employment at Linköping University with a duration normally of four years full-time equivalent, extendable up to five years depending on teaching and institutional duties. Salary follows a locally negotiated PhD salary progression; employment benefits are available.
What's required
Master’s level degree in AI, Bioinformatics, Systems Biology, or a related discipline, or equivalent knowledge corresponding to at least 240 credits with at least 60 advanced credits. Strong programming and quantitative skills, especially in Python and/or R, experience in deep learning, machine learning, or large-scale omics data analysis, self-motivation, independence, problem-solving ability, collaborative interdisciplinary skills, and fluent written and spoken English. Beneficial but not essential: foundation models, transformers, generative models, representation learning, large-scale single-cell omics, integrative multi-omics (genomics, proteomics, metabolomics), PyTorch, HPC, and knowledge of molecular/cellular biology, systems biology, or precision medicine.
How to apply
Apply through the university’s online application portal by clicking the Apply button. Submit the required application documents, including a letter of intent describing your fit for the project and a brief research question or direction you would like to explore. Applications must be received by 2026-10-30.
More information can be found here
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