Join us!
Are you interested in becoming part of the team? Feel free to contact us anytime!
We are looking for highly motivated and curious PhD students with a background in theoretical physics, computational biology, applied mathematics, and related fields. In our group, you will develop theoretical approaches to understand the complex dynamics and basic physical principles of living systems. Together, we will develop theory based on non-equilibrium statistical physics and the mechanics of soft active matter. You will be able to connect your theoretical approaches directly to state-of-the-art experimental data using stochastic inference and machine learning approaches. Please email us directly with your CV and a brief statement of why you’d be interested in joining our group. Candidates are also strongly encouraged to apply to the Biozentrum PhD Fellowships program (summer and winter call).
Our group provides Postdocs a space to independently develop their own research directions in a supportive and interactive community. We are looking for highly motivated, curious people with a background in theoretical biological and statistical physics, or in a related field, and a very strong interest in biology. Experience in machine learning techniques (in a very broad sense) is a plus. Candidates should be within the final year of their PhD project, or have obtained their Ph.D. within the last two years. We have fully funded Postdoctoral positions available, but also support applications to independently funded Postdoctoral Fellowships, including EMBO, HFSP and SNSF Fellowships. Please contact David Brückner by email, including your CV, names of two references and an explanation on why you’d be interested in joining our group.
Masters and Bachelor students, if you are interested in any of the research questions in the group and would like to do a project with us, please contact David Brückner by email with a CV and university transcripts. Bachelor students can also apply to the Biozentrum Undergraduate Research Summer Program.