MSCA COFUND PhD@Tec21 - PhD position in Biophysical Modeling : Unraveling the physical mechanis[...]

Université Grenoble Alpes; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research university in France is seeking a motivated Ph.D. student in biophysics to explore bacterial biofilm formation and mechanisms using theoretical modeling and simulations. The position offers a chance to work on innovative research that addresses key biological challenges. Candidates must have a Master’s degree and be fluent in English, with a strong interest in biological system modeling. The role begins on 1 October 2026, with a competitive compensation package.

Qualifications

• Strong interest in modeling biological systems.
• Previous research experience in modeling is appreciated.
• Fluency in English (at least B2 level) required.

Responsabilités

• Investigate physical forces in bacterial biofilm aggregation.
• Develop theoretical models based on experimental data.
• Participate in interdisciplinary research and collaborate with academic partners.

Connaissances

Scientific programming

Statistical physics

Biophysics

Modeling of biological systems

Excellent English communication

Formation

Master’s degree

Outils

C

C++

Python

Description du poste

Organisation/Company Université Grenoble Alpes Department PhD@Tec21 Research Field Physics » Biophysics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 28 Feb 2026 - 13:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe – COFUND Marie Curie Grant Agreement Number 101217261 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Context and work environment

Bacteria spend most of their life attached to surfaces, in structured colonies encased in a self-produced polymeric matrix called biofilms, which are the prevalent form of life on earth. The organization in biofilms confers them a selective advantage over the individual, e.g., by increasing resistance to mechanical damage and antibiotic agents. This strongly influences the interaction of pathogens with their host. Biofilms are thus tightly linked to the rise of multidrug-resistant strains, responsible for the majority of hospital-acquired infections.

While the genetic and biochemical basis of biofilm formation is well-studied, the role of physical forces is critically underexplored. Biofilm formation requires a transition from a free-swimming lifestyle to a sessile, cooperative one via the formation of microcolonies. For bacteria without surface motility, the initiation of microcolonies, driven by substrate adhesion and cell division is clear. However, for surface-motile bacteria like Pseudomonas aeruginosa (PA) which move by twitching (a motility mode which involves active pili extension and retraction), the process is more complex. Despite active movement, these bacteria start to cluster into microcolonies, but how actively moving individuals transition to stationary aggregates before surface confluence is reached, is unclear.

This Ph.D. project will use theoretical modeling and numerical simulations, combined with existing experimental data on PA motility and aggregation on various surfaces, to investigate if physical effects are a dominant mechanism for aggregation or if biological phenotypic switches induced by bacterial surface adhesion are decisive.

The Ph.D. thesis will be hosted on the Grenoble campus at the Laboratory for Interdisciplinary Physics (LIPhy), which is an interdisciplinary research institute at the interface of complex and soft matter physics and life science, combining experimental, theoretical and simulation approaches on multiple scales. The Ph.D. thesis will be supervised by K. John (MC2 Team) and E. Bertin (PSM team). The MC2 team is a joint theoretical/experimental team; K. John is specialized in modeling biophysical and complex soft matter systems. E. Bertin has a background in statistical physics, he is an expert in the theory of soft and active matter, phase transitions and coarse-graining techniques. Furthermore, the Ph.D. student will be co-supervised by A. Chauvière (BCM team) at the TIMC in Grenoble, who is specialized in modeling of living systems. Experiments on bacterial motility, which form the starting point for this theoretical Ph.D. project are conducted in the MC2 team at the LIPhy under the supervision of D. Débarre and in the Matter and Complexity team at the LPENS Lyon under the supervision of S. Lecuyer.

Other academic partners: The Ph.D. thesis will be integrated into the German-French doctoral school “Living Fluids” between Grenoble, Saarbrücken, Bayreuth, Münster and Rabat. The doctoral school also provides a framework for a possible 2-month visit in one of the partner groups of the network. The group of Prof. U. Thiele at the Univ. Münster would be the ideal place for the analysis of a coarse‑grained model using parameter continuation techniques.

Mission and main activities

Bacteria predominantly thrive in biofilms—structured communities that confer major advantages, including increased antibiotic resistance. While the genetic and biochemical basis of biofilm formation is well-studied, the role of physical forces is critically underexplored. This project investigates the initiation of biofilms by surface‑motile bacteria like Pseudomonas aeruginosa (PA). These actively moving individuals must transition to stationary microcolonies, and the mechanism driving this aggregation remains unclear. We will test the hypothesis that Motility Induced Phase Separation (MIPS) is a dominant mechanism for microcolony initiation. MIPS is an active matter phenomenon where the local slow‑down of bacterial movement, caused by increased density (e.g., from collisions or local signaling), creates a positive feedback loop that drives clustering, even in the absence of attractive chemical forces. This research will combine theoretical modeling and numerical simulations with existing experimental data on PA to determine if MIPS is the primary driver of aggregation or if biological factors, such as adhesion‑induced phenotypic switches, are more decisive. Understanding this physical transition is key to developing novel strategies to combat multidrug resistance.

Possible research axes:

• The Ph.D. candidate will review the already available experimental data and familiarize themselves with the existing literature on bacterial motility and aggregation onset. In collaboration with the experimental collaborators (D. Débarre, LIPhy Grenoble; S. Lecuyer, LPENS Lyon) they will develop a first qualitative understanding of the experimental system at hand and define quantitative measures of individual PA motility and bacteria‑bacteria interactions. A wealth of raw experimental data has already been analysed to extract e.g. bacterial trajectories. Should the Ph.D. candidate wish, they are welcome to contribute to the image analysis of the experiments currently being conducted by the collaborators.
• Here a minimal microscopic model will be developed to study bacterial aggregation on a solid surface. This microscopic model will be limited to the investigation of the onset of microcolony formation (up to ~100 cells) where bacteria aggregates are present as monolayers on the surface. Thereby the hypothesis will be explored that bacterial aggregation is initiated by MIPS based on a collision‑mediated reduction of bacterial speed in regions of high bacterial density. A numerical model based on individual bacteria will be established, that includes key features like substrate‑dependent bacterial motility, division, and matrix deposition. If necessary more complex features like long‑range cell‑to‑cell interactions may be included (Gagnieu, 2019). PA motility features are highly dependent on the used strains and surface properties. To benchmark the model we will use already analysed experimental data sets of bacterial motility and aggregation on various submerged solid surfaces obtained at the LIPhy and the LPENS. Thereby the bacterial motility features are modified by varying the chemical nature or rigidity of the substrate (Gomez, 2023), which mainly affects ballistic velocity, or by varying the topology of the substrate, which affects the persistence length of the bacterial motion (Letrou, 2025).
• It is already known from continuum modelling that the lateral spreading of biofilms is influenced by physico‑chemical effects (wetting, capillarity, substrate rigidity; Pietz, 2025). Here, as a complementary approach to the microscopic model (or possibly as a stand‑alone project), a continuum model will be developed to study the early steps of bacterial aggregation, before lateral biofilm spreading sets in. The Ph.D. student will use in particular coarse‑graining techniques used in active matter in the context of MIPS (Cates, 2015; Bertin, 2024). The main goal here is to be able to describe larger bacterial assemblies than the ones studied by microscopic numerical simulations, and to identify in a systematic way the key parameters controlling the pattern formation identified in the microscopic model (point 2).

Supervisors: Karin John and Eric Bertin
Research fields: biophysics, soft matter modelling, statistical physics, microscopic and continuous modelling of biological multiagent systems. The project is designed to elucidate the role of physical mechanisms in an experimental biological system. If desired, the Ph.D. may participate in the analysis of experimental raw data (image analysis).
Possible secondments: University of Münster, Germany
Doctoral school: ED PHYS : Physics

The Ph.D. student to be hired has preferentially a background in statistical physics and or biophysics with a strong interest in modeling of biological systems. Basic knowledge of scientific computing is required.

Disciplinary skills, experience

Previous research experience in modelling and scientific programming (C, C++, Python) would be appreciated but is not required.

Personal skills

We seek a highly motivated Ph.D. student with outstanding verbal and written English communication skills and a genuine passion for proactive, interdisciplinary science. Particularly valued is the capacity to critically evaluate simulation results against experimental findings and to develop data driven models. The ideal applicant should be intellectually flexible, willing to harness varied theoretical methodologies, and to process and analyse existing experimental datasets.

Languages ENGLISH Level Excellent

Eligibility criteria

The programme is open to applicants of all nationalities. To be eligible, applicants must meet all of the following conditions:

• Have completed a Master’s degree or an equivalent diploma by the deadline of the programme’s call (28 February 2026)
• Do NOT already be in possession of a Doctoral degree
• Do NOT have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately preceding the deadline of the programme's call (mobility rule). Compulsory national service, short stays such as holidays, or time spent as part of a procedure for obtaining refugee status under the Geneva Convention, will not be taken into account
• Be fluent in English (at least B2 level)
• Be available for employment at the enrolment date (1 October 2026)

Selection process

This recruitment takes place within the PhD@Tec21 Programme, which is co‑funded as part of the Marie Skłodowska‑Curie COFUND actions under the grant agreement #101217261. The recruitment process follows a specific selection and evaluation procedure with particular eligibility criteria, all of which are detailed in the applicant guide available on PhD@Tec21 Website.