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The Computational Biology Group at D-BSSE develops digital twins of embryonic development using image-based mechanistic modelling and simulation. The group combines quantitative imaging data with mathematical and computational models to understand how tissues self-organise and how this process goes wrong in disease. The research focuses on organogenesis, the formation of organs during embryonic development, and involves close collaboration with experimental partners and the development of open-source simulation tools.

Tasks

  • Develop mathematical and computational models of mouse and human development
  • Develop data-based, mechanistic models and simulations of tissue development
  • Integrate quantitative imaging data from experimental collaborators into models
  • Publish results and present them at international conferences
  • Contribute to the group's open-source simulation tools
  • Contribute to teaching

Requirements

  • Master's degree
  • Solid understanding of developmental, cell and molecular biology, and ability to interpret experimental and imaging data
  • Experience in mathematical modelling, for example with ordinary or partial differential equations, dynamical systems or stochastic models, gained through coursework, a thesis or a project
  • Programming experience in a language such as Matlab, Julia, Python or R
  • Good written and spoken English
  • Self-motivated and enthusiastic about developing data-based mathematical models in developmental biology
  • Training in biology, mathematical modelling and scientific computing
  • During the PhD, you may also work with finite element methods (e.g. COMSOL) and C++ software; prior experience with these is not required

Benefits

  • PhD position in an interdisciplinary, international research environment at the interface of mathematics, computing and biology
  • Close collaboration with leading experimental groups
  • Excellent infrastructure and computing resources at ETH Zurich
  • Support for scientific development, including conference travel and training
  • Competitive ETH doctoral salary and conditions
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Über uns
Die ETH Zürich ist eine technisch-naturwissenschaftliche Hochschule des Bundes mit Sitz in Zürich. Wir betreiben Lehre, Forschung und Wissenstransfer in Bereichen wie Ingenieurwissenschaften, Naturwissenschaften, Architektur, Mathematik, Informatik, Management sowie Sozial- und Geisteswissenschaften. Unsere Ausbildung umfasst Bachelor-, Master-, Doktorats- und Weiterbildungsangebote und ist eng mit internationaler Spitzenforschung verbunden. Als Teil des ETH-Bereichs entwickeln wir wissenschaftliche Grundlagen, Technologien und Lösungen für Gesellschaft, Wirtschaft und globale Herausforderungen.
Das Team

The Computational Biology Group at the Department of Biosystems Science and Engineering (D-BSSE) works closely with experimental collaborators and develops open-source simulation tools.

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