Two undergraduate students in lab coats talk at a lab bench

Two previous calls have launched two cohorts of collaborative CNRS - Imperial PhD projects

The following projects have been funded thus far via the collaborative CNRS-Imperial PhD programme:

Previous Awards

2022 PhD Projects

  • Modelling hidden causes in disease progression, Imperial PI: Barbara Bravi (Mathematics), CNRS PI: Herve Isambert (UMR 168, Laboratoire Physico-Chimie Curie, 170)
  • Towards data-driven design of amorphous porous materials, Imperial PI: Kim Jelfs (Chemistry); CNRS PI: Francois Xavier Coudert (UMR8247, Institut de Recherche de Chimie Paris, Paris Tech)
  • Molecular crowding as a common regulator of biomechanical and biomolecular properties in cells, Imperial PI: Darryl Overby (Bioengineering); CNRS PI: Thomas Dehoux (Institut Lumière Matière, UMR 5306)
  • The Development of advanced low-latency algorithms for high energy physics and beyond, Imperial PI: Alexander Tapper (Physics/Blackett); CNRS PI: Alexandre Zabi (UMR 7638, Laboratoire Leprince Ringuet)
  • Advanced characterisation of functional thin films and interfaces (Adfun), Imperial PI: Stephen Skinner (Materials); CNRS PI: Monica Burriel (Laboratoire des matériaux et du génie physique, UMR 5628)

2023 CNRS PhD Projects

  • "MicroMeds”: molecular informatics and systems medicine to identify host microbiome pharmacological targets for new drugs for metabolic diseases, Imperial PI: Robert Glen (Metabolism, Digestion and Reproduction); CNRS PI: Marc-Emmanuel Dumas (Génomique fonctionnelle (epi) métabolique et mécanismes moléculaires impliqués dans le diabète de type 2 et les maladies associées, EGENODIA, Lille, UMR 8199)
  • Nonequilibrium statistical physics: mathematical analysis and algorithms, Imperial PI: Greg Pavliotis (Mathematics), co-PI Andrew Duncan; CNRS PI: Gabriel Stoltz (UMR 8050 Federation Bezout (CERMICS)), co-PIs: Tony Lelièvre, Urbain Vaes
  • Elucidating the biological impact of novel radiotherapy techniques, Imperial PI: Kenneth Long (Physics); CNRS PI: Yolanda Prezado (UMR 3347 UNIT Signaling, Radiobiology and Cancer (Institut Curie))
  • Optimized multi-scale design of nacre-like composites, Imperial PI: Eduardo Saiz Gutierrez (Materials), co-PI: Florian Bouville; CNRS PI: Sylvain Meille (Matériaux Ingénierie et Science, Lyon, UMR 5510)
  • Spinning sustainable carbon fibres for the energy transition, Imperial PI: Milo Shaffer (Chemistry/Materials, co-PI: Agi Brandt-Talbot; CNRS PI: Pascale Launois (UMR 8502 Laboratoire de Physique des Solides, Univ Paris Saclay)

October 2021 Projects

The second call for the PhD Joint Programme between CNRS and Imperial College London, open to all disciplines, selected six joint research projects to start in October 2021:

  • 'Infrared frequency metrology' - Anne Amy Klein (CNRS UMR7538) and Michael Tarbutt (Imperial)
  • 'Geometry, dualities and the string landscape' - Mariana Grana (CNRS UMR3681) and Daniel Waldram (Imperial)
  • 'Towards a Quantitative Mean Field Game Framework for Pedestrian Dynamics' - Denis Ullmo (CNRS UMR8626) and Dante Kalise (Imperial)
  • 'Bayesian nonparametrics for high-dimensional statistical inference' - Ismaël Castillo (CNRS UMR8001) and Kolyan Ray (Imperial)
  • 'Rigidity and Thurston theory in complex dynamics' - Dierk Schleicher (CNRS UMR7373) and Sebastian van Strien (Imperial)
  • 'Achieving switchable molecular devices through nanoscale engineering of functional substrates' - Patrick Rosa (CNRS UMR5026) and Sandrine Heutz (Imperial)

October 2020 Projects

The first call for the PhD Joint Programme between CNRS and Imperial College London, open to all disciplines, selected five joint research projects to start in October 2020:

  • 'Variational Integrators for Stochastic Geophysical Fluid Models (VI-SGFDM)' Francois Gay- Balmaz (Laboratoire de Météorologie Dynamique, Ecole Normale Superiore) and Darryl Holm (Imperial)
  • 'New Approaches in Radiotherapy' Yolanda Prezado (CNRS Curie Institute UMR 3347) and Kenneth Long (Imperial)
  • 'REGEN: Induced self-organised tissue regeneration - A Model-data framework' Louis Casteilla (Stromalab / University Paul Sabatier Toulouse) and Pierre Degond, Greg Pavliotis (Imperial)
  • 'Model design and model reduction for fluid flows using machine-learning techniques – with applications to high-speed flows' - Stephane Zaleski (Institut Jean Le Rond d'Alembert Sorbonne) and Georgio Rigas (Imperial)
  • 'Mathematical Foundations of DNA storage' Marc Antonini (UMR 7271) and Thomas Heinis (Imperial)