The following positions are available in the team .
PhD Thesis (updated 05/03/2025)
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- Modeling joint action reinforcement learning
under inter- and intra- personal variability, proposed by A. Dutech (Biscuit) and H. Chame (NeuroRythms)
- Modeling joint action reinforcement learning
To apply, get in touch with both supervisors. Eventually, the application file will be made of (CV + motivation letter + short description of master thesis + thesis manuscript +degree certificates and transcript for Bachelor and Master). Recommendation letters can be usefull.
Master internships (updated 16/04/2024)
- “Are you following up ? engaging human-robot collaboration with
endogenous and exogenous task distraction”, proposed by H. Chame and A. Dutech.
(sorry, most of these subject are written in French, we are working on that)
Old master subjects that still might be of interest
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- Apprentissage non-supervisé de flux optique avec des réseaux de neurones impulsionnels proposed by B. Girau and A. Fois.
- Cartes auto-organisatrices et architectures reconfigurables proposed by B. Girau and H. Rostro-Gonzalez.
- Champs neuronaux sur circuits neuromorphiques proposed by B. Girau and H. Rostro-Gonzalez.
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- Cartes auto-organisatrices : décentralisation et tolérance aux fautes, proposed by J.Fix & B.Girau
- Apprentissage par renforcement en temps continu, proposé par A. Dutech
- Cartes auto-organisatrices : décentralisation et tolérance aux fautes, proposed by J.Fix & B.Girau
Positions already filled
- Toward an event-driven approach to the emergence of behavior
Supervision A. Dutech & H. Frezza-Buet (concours for a contract from Ecole Doctorale)
(PDF français, english) => Maxime Plochaski, 2024. - Neural models of vector quantization, continual learning and non-stationnary distribution.
Supervision B. Girau & H. Frezza-Buet (funding from the ANR) => Nasr Allah Aghelias, 2024 - Apprentissage par Renforcement sur Processeur Neuromorphique proposed by B. Girau and A. Dutech
- Apprentissage par Renforcement Profond pour le Contrôle du Trafic Routier proposed by J. Legrand, A. Dutech and H. Nortia (in collaboration with Kesk)
- Towards an event-driven approach to the emergence of cognition, PhD thesis of Bastien Faure-Brac (2019-..)
- Multi map decentralized self organization, PhD thesis of Noémie Gonnier (2018-..)
- Neuromorphic computing for robust exploration and categorization of visual and multimodal environments with embedded systems, PhD thesis of Yann Bernard (2018-..)
- Motivated Multi scale Self-Organization for the emergence of coordinated sensorimotor behaviors, PhD Thesis of Tristan Gillard (2018-..)
- Bio-inspired self-organizing neuronal architectures, PhD Thesis of Adrien Fois (2018-..)
- Auto-organisation spatio-temporelle robuste aux effets de densité, Master
- Adaptive representation of the state state in on-policy fully observed markovian decision processes, master thesis of Aïcha Soussi (2017)
Older PhD Thesis (updated 16/04/2024)
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- Self organizing maps on neuromorphic chips.
Supervision B. Girau (concours for a contract from Ecole Doctorale) - Self-organizing neural models and hardware implementation for continual learning.
Supervision B. Girau (concours for a contract from Ecole Doctorale) - Neural models of vector quantization, continual learning and non-stationnary distribution.
Supervision B. Girau & H. Frezza-Buet (funding from the ANR) - Toward a decentralized neural architecture of self-organizing maps
Supervision H.Frezza-Buet & Y.Boniface (english)
- Self organizing maps on neuromorphic chips.