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Dettagli dell’opportunità

PhD Position in Digital Twins of Embryonic Development

Durata del contratto
Fixed-term
Tipo di impiego
Full time
Tipo di posizione
PhD
Data di pubblicazione
October 19, 2026
Dipartimento
Department of Biosystems Science and Engineering (D-BSSE) Computational Biology Group
Email di contatto
dagmar.iber@bsse.ethz.ch
Area di ricerca
Department of Biosystems Science and Engineering (D-BSSE) Computational Biology Group
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Descrizione del progetto

The Computational Biology Group (Prof Dagmar Iber) at D-BSSE develops digital twins of embryonic development using image-based mechanistic modelling and simulation.

Project background

Organogenesis, the formation of organs during embryonic development, depends on tightly coordinated cell signalling, growth and mechanics. Our group combines quantitative imaging data with mathematical and computational models to understand how tissues self-organise and how this process goes wrong in disease. We work closely with experimental collaborators and develop open-source simulation tools.

Job description

The PhD position focuses on developing mathematical and computational models of mouse and human development. You will:

  • develop data-based, mechanistic models and simulations of tissue development
  • integrate quantitative imaging data from experimental collaborators into your models
  • publish your results and present them at international conferences
  • contribute to the group's open-source simulation tools and to teaching

Profile

We are looking for a self-motivated candidate who is enthusiastic about developing data-based mathematical models in developmental biology. The position suits someone with training in biology, mathematical modelling and scientific computing.

You should have:

  • a Master's degree
  • a solid understanding of developmental, cell and molecular biology, and the 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

During the PhD you may also work with finite element methods (e.g. COMSOL) and C++ software. Prior experience with these is not required.

We offer

  • A 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 your scientific development, including conference travel and training
  • Competitive ETH doctoral salary and conditions

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

  • A letter of motivation
  • CV
  • BSc & MSc diplomas and transcripts
  • Contact details of 2 referees

Applications will be reviewed on a rolling basis until the position is filled.

Further information about the CoBi group can be found on our website. Questions regarding the position should be directed to Prof Dagmar Iber, dagmar.iber@bsse.ethz.ch (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence.


Contatto accademico

Prof Dagmar Iber Department of Biosystems Science and Engineering (D-BSSE) Computational Biology Group dagmar.iber@bsse.ethz.ch
Last Update ETH Zurich – Swiss Federal Institute of Technology jobs.ethz.ch
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