The PhD position focuses on developing the algorithmic infrastructure behind our digital twins. You will:

• develop and benchmark methods for parameter estimation and uncertainty quantification, from classical optimisation and Bayesian inference to physics-informed neural networks (PINNs) and other machine-learning approaches
• build and extend our simulation environment, with a focus on performance, scalability and reproducibility
• apply your methods to real models and data, from imaging-based models of tissue development to our digital twin of the hormonal cycle and IVF treatment, together with the modellers, experimentalists and clinical collaborators in the group
• publish your results and present them at international conferences
• contribute to the group’s open-source software and to teaching

Profile

• A PhD position in an interdisciplinary, international research environment at the interface of mathematics, computing and biology
• Close collaboration with leading experimental groups and clinical partners
• Excellent infrastructure and computing resources at ETH Zurich
• Support for your scientific development, including conference travel and training
• Competitive ETH doctoral salary and conditions

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.

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.

ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.