PhD Position in Digital Twins for Embryonic Development
Develop computational models of organogenesis using data-driven simulations and mechanistic approaches in an interdisciplinary research environment.
Best for:Best for candidates with a strong background in biology, mathematical modeling, and programming who are passionate about computational approaches to developmental biology.
Overview
This PhD position at ETH Zurich’s Computational Biology Group focuses on creating digital twins of embryonic development by integrating quantitative imaging data with mathematical and computational models. The project aims to understand tissue self-organization and disease mechanisms in mouse and human organogenesis. The successful candidate will collaborate closely with experimental biologists, publish findings, and contribute to open-source simulation tools. The work spans computational biology, mathematical modeling, and scientific programming, offering a unique interdisciplinary research experience in a leading Swiss institution.
What you'll do
- Develop data-driven, mechanistic models of tissue development using mathematical and computational approaches
- Integrate quantitative imaging data from experimental collaborators into computational models
- Publish research findings in international journals and present at conferences
- Contribute to the group’s open-source simulation tools and software development
- Collaborate with experimental biologists to validate and refine models
- Participate in teaching and mentoring activities within the group
Requirements
Degree required: Master's degree in Biology, Computational Biology, Mathematics, Physics, Computer Science, or a related quantitative field
Degree offered: PhD
Language: English; proficiency required for academic communication and collaboration
Instruction: English
- Solid understanding of developmental, cell, and molecular biology
- Experience with mathematical modeling (e.g., ordinary/partial differential equations, dynamical systems, or stochastic models)
- Programming proficiency in Python, Julia, R, or MATLAB
- Ability to interpret quantitative imaging and experimental data
- Strong written and spoken English proficiency
- Open to all nationalities
- No residency restrictions mentioned
- No age or prior experience caps specified
Funding & terms
How to apply
Applicants must submit their application through ETH Zurich’s online application portal. Required documents include a letter of motivation, CV, BSc and MSc diplomas and transcripts, and contact details of two referees. Applications are reviewed on a rolling basis until the position is filled.
- Letter of motivation
- CV
- BSc diploma and transcript
- MSc diploma and transcript
- Contact details of 2 referees
Contact
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