PhD: Learning interactions in collective cell migration

Vrije Universiteit Amsterdam; Amsterdam; On-site; EUR 30,000 - 42,000; Full time

Benefits offered by this job

Holiday allowance 8%

End-of-year bonus 8.3%

Commuting expenses support

Personalized benefits package

Sports facilities access

Job summary

Vrije Universiteit Amsterdam invites applications for a four-year PhD position in non-equilibrium statistical physics of collective cell migration. The Broedersz group seeks to uncover rules governing cell interactions using data-driven theoretical frameworks and ML tools.

The candidate should have MSc in Physics, with a strong background in theoretical/statistical physics and interest in ML-enabled inference. Amsterdam-based, Vici-funded project within a collaborative, international community.

Qualifications

• MSc Degree in Physics required.
• Theoretical, statistical, soft or biological physics background preferred.
• Experience with inference/machine learning tools and basic programming is a plus.

Responsibilities

• Develop data-driven theoretical frameworks to infer interaction rules from multicellular migration experiments.
• Apply non-equilibrium statistical physics and active matter concepts to model collective cell migration.
• Collaborate with experimentalists and contribute to high-impact publications.

Skills

Inference / ML tools

Basic programming

Education

MSc Degree in Physics

Job description

The Broedersz group (Theoretical physics of life) has an opening for a four-year PhD student position on the non-equilibrium statistical physics of collective cell migration.

Your function

Our theory group is a worldwide leader in studying the statistical physics of living systems. We currently have an opening for a Vici funded 4-year PhD position. We seek to uncover the fundamental interaction rules that govern collective cell migration—a central biological process underlying development, immune responses, and cancer progression.

We are looking for a highly motivated PhD candidate with an interest in combining non-equilibrium statistical physics, active matter physics, and statistical inference/AI to unravel how cell–cell interactions shape collective cell migration. A central goal of the project is to develop and apply data-driven theoretical frameworks that infer interaction rules directly from multicellular migration experiments. We therefore seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches to understand how complex biological functions emerge from interactions between individual cells.

Your profile

Your profile should include:

• MSc Degree in Physics
• Preferably with a background in theoretical physics, statistical, soft or biological physics
• Experience with using inference/machine learning tools and basic programming is a plus

We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.

What do we offer?

We offer guidance and help so you can develop the skills and experience to become an independent scientist. In addition, we offer an intellectually challenging position in a socially engaged organisation.

• Your employment contract will initially last 1 year. Afterwards, the possibility of expansion exists.
• 8% holiday allowance and 8.3% end-of-year bonus
• Contribution to commuting expenses
• Optional model for designing a personalized benefits package
• A wide range of sports facilities which staff may use at a modest charge

About us

About the department, institute, project

The Broedersz group is part of the Section for Physics of Living Systems within the Physics department at VU Amsterdam, one of the best universities in the Netherlands and a leading scientific institution in biophysics located in the vibrant and international city of Amsterdam. We offer a stimulating and collaborative environment in the physics of life. PhD students in our group have the opportunity to learn from leading scientists in the field, publish in high-impact journals, and present their work at international conferences.