PhD Fellowship in Biophysics
Job Description
PhD Fellowship in Computational Modelling of Active Materials and Their Environment
Niels Bohr Institute, Faculty of Science — University of Copenhagen
About the Role
The Niels Bohr Institute at the University of Copenhagen invites applications for a PhD fellowship in computational modelling of active materials and their environment, with an expected start date of 1 December 2026. This is a full-time, three-year position embedded within a newly established and highly dynamic research group working at the intersection of physics, biology, and fluid mechanics.
Please note that this fellowship is advertised alongside a corresponding Postdoctoral position; only one of the two positions will be filled.
The Research Project
Many microorganisms — including bacteria and cancer cells — exhibit remarkable collective dynamics often described as "living liquids" or active fluids. These behaviours emerge from local internal energy injection and bear striking similarities to conventional fluid dynamics, where macro-scale boundaries and confinement shape large-scale flow patterns and influence the micro-scale behaviour of individual organisms.
A critical distinction, however, is that many biological systems exist within deformable, adaptable environments — such as the mucus layers found throughout the human body or the granular matrices of soil. In these settings, the relationship between the organism and its surroundings becomes bidirectional: the environment shapes the organism's behaviour, while the organism simultaneously restructures its environment. This phenomenon, known as mechanoreciprocity, gives rise to a fascinating range of biological processes, including:
- Cancer cell invasion into surrounding extracellular matrix
- Soil-dwelling bacteria burrowing through sand and porous media
- Pathogenic bacterial infection of mucosal layers
This PhD project will employ cutting-edge computational models to investigate this bidirectional relationship — exploring how microorganisms not only adapt to, but also actively reshape, their soft and deformable surroundings. The successful candidate will work to characterise these dynamics across multiple scales, contributing to a deeper understanding of microorganisms as effective ecosystem engineers.
Our Group and What We Offer
As a newly established research group, we combine discrete and continuum simulation approaches to study pattern formation and collective dynamics in biological matter. Our primary computational toolkit includes a particle-based mesoscale hydrodynamic solver (MPCD — Multi-Particle Collision Dynamics), integrated with continuum simulations to achieve a multiscale perspective on active systems.
We offer:
- A creative, collaborative, and intellectually stimulating research environment at the interface of physics, biology, and fluid mechanics
- Access to high-performance computing facilities supporting large-scale simulations
- Active collaboration with researchers who develop and maintain the numerical solvers used in our work
- Opportunities to engage with an international network of researchers across disciplines
- A PhD fellowship structured in accordance with Danish legislation, typically running for three years, with a competitive salary set according to Danish Union Contracts — highly competitive within the international academic community
Responsibilities
As a PhD fellow, you will be expected to:
- Carry out an independent research project under the supervision of the principal supervisor
- Complete PhD courses corresponding to approximately 30 ECTS (½ FTE)
- Participate actively in the research environment, including a research stay at another institution, preferably abroad
- Engage in teaching and knowledge dissemination activities within the department
- Author and co-author scientific papers targeted at high-impact international journals
- Write and defend a PhD thesis based on your research project
Requirements
To be eligible for the PhD programme, candidates must hold a degree equivalent to a Danish Master's degree (180 ECTS BSc + 120 ECTS MSc) in a relevant field such as Physics, Biophysics, Applied Mathematics, or a closely related discipline.
We are looking for candidates who demonstrate:
- Professional qualifications directly relevant to the PhD project, including a strong background in computational or theoretical physics
- Programming experience — familiarity with scientific computing environments and simulation methods is preferred
- A genuine interest in biophysical systems, soft matter, and active matter physics
- A curious and independent mindset with the ability to work both autonomously and collaboratively
- Strong written and verbal communication skills in English
- Relevant publications or research experience (desirable but not required)
- Relevant reference letters from academic supervis
Interested in this position?
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About Københavns Universitet
Since 1479, the University of Copenhagen has been at the forefront of intellectual discovery, where groundbreaking research and critical thinking drive innovation that shapes our world. As one of Europe's leading research universities, we foster a dynamic international community of 5,000 researchers and 39,000 students, consistently ranking among the world's top institutions. Our university empowers both researchers and students to reach their full potential through ambitious interdisciplinary initiatives that strengthen our vibrant academic communities. We believe in research-based education, actively engaging students in cutting-edge research projects that prepare them to tackle society's most pressing challenges. Committed to environmental leadership, we are transforming our campus into one of the world's most sustainable university environments, minimizing our ecological footprint while maximizing our positive impact. Through strategic partnerships with industry and comprehensive sustainability programs, we connect students with meaningful opportunities to drive environmental innovation. At the University of Copenhagen, we champion gender equality and celebrate diversity as fundamental strengths that enrich our academic excellence and research breakthroughs.


