We are recruiting Postdoc, PhD students, and Master students all year round, depending on applications and available opportunities for funding. Feel free to contact any of our members if you have a particular subject you would like to work on, or browse the list of currently available positions.
Starting Research Position
The INRIA Mimetic team has the possibility of funding a 2-year Starting Research Position (SRP) in Rennes, France. The research topic is fully open to all scientific challenges addressed by the Mimetic team, in particular
- Human motion analysis through the design of innovative protocols to capture and enhance knowledge on motion control in complex situations,
- Autonomous virtual humans through the design of elaborate motions strategies and behaviors in virtual environments, and
- Physical activity in Virtual Reality where VR is coupled with human motion simulations to carry out controlled experiments.
The conducted research should also address one of the following domains: Sports (performance, evaluation, training), Ergonomics (assessment, work drudgery, workstation improvement), Health (assessment, rehabilitation), Simulation (motion behaviors, planning, navigation, cinematography and storytelling).
SRP positions are dedicated to excellent researchers with a PhD in computer science or strongly related to the MimeTIC research topics, and 2 to 8 years of experience after the PhD without limitation in age or nationality. The selection will be based on the scientific quality of the candidate and his potential in developing joint research with members of the Mimetic team. Please contact firstname.lastname@example.org
- Motor and perceptual training tool in basketball based on virtual reality. We are seeking a good candidate for this postdoctoral position which will be held at M2S Lab and Inria Mimetic team, for a duration of 12 months from September 1st. The profile is mainly on computer graphics. See this document for more information.
Master Student Internships
- Analyse et reconnaissance de gestes 3D, supervised by R. Kulpa, S. Y. Boulahia and E. Anquetil (Intuidoc).
- Autonomous cinematographic flock of drones, supervised by M. Christie, Q. Galvane.
- Blending-Based Personalised Human Motion: an Application to Walking, supervised by L. Hoyet.
- Character Animation based on Early Motion Recognition, supervised by S. Y. Boulahia, L. Hoyet, F. Multon.
- Human Movement Adaptation Using a Novel Distance-Based Approach, supervised by A. Mucherino and L. Hoyet
- Influence of biological motion cues on collision avoidance temporal decision processing, supervised by R. Kulpa, A.-H. Olivier and S. Lynch.
- Perception of Variety in Simulated Human Crowds, supervised by L. Hoyet and J. Pettré.
- Virtual or Real Pedestrian: Evaluating Avoidance Strategies in VR, supervised by L. Hoyet, A.-H. Oliviver and J. Pettré.
- Virtual Steadycam Simulator, supervised by M. Christie, Q. Galvane.
- Mise à l’échelle de la topologie musculaire dans un modèle musculo-squelettique spécifique au sujet, supervised by C. Pontonnier, P. Puchaud, N. Bideau and G. Dumont.
- Facial Information Transfer, in collaboration with Technicolor Rennes and supervised by Q. Avril (Technicolor) and L. Hoyet.
- Human Movement Adaptation Using a Novel Distance-Based Approach, supervised by A. Mucherino and L. Hoyet.
- Contrôle expressif de cadrage pour le cinéma, supervised by C. Lino and M. Christie
- Virtual Steadicam Simulator, supervised by M. Christie and Q. Galvane
- Autonomous cinematographic drones, supervised by M. Christie, Q. Galvane and C. Lino