SPIN PhD program: 23 theses topics on offer

Theses topics of the SPIN PhD program

• Biodiesel production from agricultural or agro food effluents using oleaginous yeast
  direction: Yves ANDRES, co-supervisors: Audrey Villot, Sary Awad, laboratoire GEPEA, cotutelle avec University of Indonesia, Department of chemical engineering
• Control of Hospital Logistics Systems using Dioid Theory
  direction: Naly RAKOTO, laboratoire LS2N
• Multiverse Digital Twin: a generic, multiverse software infrastructure for designing and executing digital twins
  direction: Fabien DAGNAT, co-supervisor: Sylvain Guérin, laboratoire LabSTICC
• Personalizing shoulder surgery with ultrasound: determining specific patient characteristics
  direction: Valérie BURDIN, co-supervisor: Aziliz Guezou-Philippe, laboratoire LATIM
• Collaborative Teaching Assistant
  direction: Grégory SMITS, co-supervisors: Maria-Teresa Segarra-Montesinos, Issam Rebaï, laboratoire LabSTICC
• Human-drone teaming in unstructured outdoor environments using event cameras
  direction: Panagiotis PAPADAKIS, co-supervisor: Lucia Bergantin, laboratoire LabSTICC, cotutelle avec University of Adelaïde, South Australia
• Energy efficient machine learning based rate splitting multi access integrated sensing and communication in vehicular to everything communication
  direction: Samir SAOUDI, co-supervisor: Derek Kwaku Pobi Asiedu, laboratoire LabSTICC, joint supervision with Seoul national university of science and technology, South Korea
• Eye navigation and super-maneuverability for a bio-inspired marine drone
  direction: Vincent LEBASTARD, co-supervisor: Johann Herault, laboratoire LS2N
• Functionalization of textile fibers for physiological measurements
  direction: Cyril LAHUEC, co-supervisor: Alexandre Khaldi, laboratoire LabSTICC
• Recurrent neural networks for learning-based control with robustness guarantees
  direction: Philippe CHEVREL, co-supervisors: Mohamed Yagoubi, Fabien Claveau, laboratoire LS2N
• 6G communications for secondary railway lines
  direction: Charlotte LANGLAIS, laboratoire LabSTICC
• Discrete diffusion reasoning models for continuous embeddings
  direction: Vincent GRIPON, co-supervisor: Bastien Pasdeloup, laboratoire LabSTICC
• Contribution to the improvement of a compressed gas energy storage system with CO2 as working fluid
  direction: Khaled LOUBARD, co-supervisor: Clément Lacroix, laboratoire GEPEA
• Recalibration of seabed sonar images for underwater UAV control using constrastive learning
  direction: Jean-Marc LE CAILLEC, co-supervisor : Didier Guériot, laboratoire LabSTICC
• Hybrid modeling of thermo-chemical processes using physics-driven artificial intelligence
  direction: Khaled LOUBARD, co-supervisor: Jean-François Largeau, laboratoire GEPEA, joint supervision with Université de Sherbrooke, Canada
• Improving computer vision models through neural signal integration and causal inference
  direction: Adrien MERLINI, co-supervisors: Mai Quyen Pham, Giulia Loi, laboratoire LabSTICC, cotutelle avec Australian Institute for Machine Learning, University of Adélaïde, South Australia
• Statistical algorithms for robust embedded signal processing
  direction: Dominique PASTOR, co-supervisors: Stefan Weithoffer, Ali Al Gouwayel, laboratoire LabSTICC
• Impact of easing logistics flows
  direction: Olivier PETTON, co-supervisor: Romain Billot, laboratoire LS2N, joint supervision with Universidad de la Sabana, Colombie
• Optimization of charging schedules for electric buses in a large urban agglomeration
  direction : Alexandre DOLGUI, laboratoire LS2N, joint supervision with University of Adelaïde, South Australia
• Innovative planning strategies for green AI in energy-autonomous cloud environments
  direction: Jean-Marc MENAUD, laboratoire LS2N
• Multiscale spatiotemporal reasoning with audio language models for environmental sciences
  direction: Nicolas FARRUGIA, laboratoire LabSTICC
• Integrating and assessing environmental costs in business process modeling
  direction: Hugo BRUNELIERE, laboratoire LS2N

For detailed descriptions of theses offers

Applications (CV, covering letter, transcripts, letters of recommendation) should be sent directly to the supervisors, who will forward them to the PhD program.