Ramin Golestanian

[Full-time PhD position funded at 2/3 of E13 TVöD Bund for three years.] The LMP department at the Max Planck Institute for Dynamics and Self-Organization is offering PhD positions in Statistical Physics and Active Matter . The research is led by Prof. Dr. Ramin Golestanian and is centered on theoretical work that seeks to understand the dynamics of living systems from a physical perspective. PhD researchers will carry out theoretical and/or computational research in nonequilibrium statistical physics and active matter . The position sits within a highly interdisciplinary environment that includes group leaders, postdoctoral researchers, students, and visitors, and is designed for applicants interested in the physics of living systems across scales. The role is based at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. Funding is provided at 2/3 of E13 TVöD Bund , with full-time working hours and a contract limited to three years. The starting date is flexible. The institute highlights excellent working conditions, work-life balance support, and health promotion services. Eligibility is aimed at excellent, enthusiastic, self-motivated early-career researchers. Applicants should hold a Master’s degree or comparable qualification in theoretical physics, applied mathematics, or a related discipline from a recognized university. A strong interest in nonequilibrium statistical physics is required, along with the ability to work in an international, interdisciplinary team. Good English is essential; German is helpful but not mandatory. To apply, candidates must use the application portal and submit a CV , academic records , a statement of research interests , and the contacts of two referees . The deadline is 1 December 2026 , and review begins after the deadline, although applications may continue to be received until 1 April 2027. Applicants are encouraged to apply early because the positions may be filled as soon as suitable candidates are identified. For questions, contact Prof. Dr. Ramin Golestanian at [email protected] or visit the research group website for more information on current activities.

Postdoctoral Researcher positions are available in Active Matter and Statistical Physics at the Department of Living Matter Physics , Max Planck Institute for Dynamics and Self-Organization (MPI-DS) . The group works on applying ideas from theoretical physics to the understanding of living systems, using a broad range of analytical and computational methods . This is a strong fit for researchers with interests in physics , biophysics , and related quantitative approaches to complex living matter. The post was shared by Ramin Golestanian , Director at MPI-DS and Professor at the University of Oxford. The opportunity is for postdoctoral researchers; no PhD or master's opening is indicated in the post. Funding details are not specified in the post excerpt, so applicants should check the official job page for information on contract length, salary, and any additional benefits. To apply, use the official MPI-DS job link and review the full advertisement for the application procedure and required documents.

PhD positions are available in Active Matter and Statistical Physics at the Department of Living Matter Physics (LMP) , Max Planck Institute for Dynamics and Self-Organization (MPI-DS) . The research environment is described as vibrant and dynamic, with work focused on applying ideas from theoretical physics to the understanding of living systems. Students will likely engage with a mix of analytical methods and computational methods , with strong relevance to physics and interdisciplinary biology/living systems research. The post is shared by Ramin Golestanian , Director at MPI-DS and Professor at Oxford University. This is a PhD opening ; no postdoctoral or master's opening is indicated. The post does not mention stipend amount, tuition coverage, or specific eligibility requirements beyond the research area and methods. Interested candidates should use the linked institute page for the full job description and application instructions. Application link: https://www.ds.mpg.de/4133384/job_full_offer_26889161