Connectionists: Postdoctoral Position in Signal processing at CEA Grenoble

Fri Nov 4 11:11:53 EDT 2016

Postdoctoral Position in Signal processing with the focus on functional Brain Computer Interface at CEA Grenoble, France:
Applicants are invited for the research position in the field of Signal processing with the focus on Brain Computer Interface (BCI) with multiple degrees of freedom.
Context: The goal of the Brain Computer Interface (BCI) Project at CLINATEC(r) (CEA, Grenoble) is to provide the proof of concept that it is possible to control complex effectors, such as a 4-limb exoskeleton, thanks to brain activity monitoring and decoding to open new opportunities to motor disabled (in particular for tetraplegic subjects). A wireless 64- channel ElectroCorticoGram (ECoG) recording implant WIMAGINE(r) have been designed for long-term clinical application. The clinical research protocol "BCI and tetraplegia" (PI Prof. Benabid) recently obtained authorizations to perform a clinical trial.
The work will be performed in CLINATEC (CEA, LETI, CLINATEC) at the French Alternative Energies and Atomic Energy Commission in Grenoble.
http://www.cea.fr/english/Pages/research-areas/health-and-life-sciences.aspx
http://www-leti.cea.fr/fr/Decouvrez-le-Leti/Les-plateformes-d-innovation2/Clinatec
Mission: The applicant will intervene during the phase of clinical trials in order to optimize the decoding of ECoG data. In a multidisciplinary environment composed of clinicians, engineers and researchers in mathematics, informatics, electronics and biology, roles of the applicant will be to optimize and implement robust algorithms of adaptive real-time ECoG signal decoding, to develop effector dependent control strategies, including complex effector with multiple degrees of freedoms such as a 4-limb exoskeleton.
Postdoctoral fellow will directly participate at clinical trial, contribute to strategies and tools to support patients' re-education, define quality criteria allowing to quantify patients' progress and satisfaction etc.
Profile:
The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (Computer Science, Engineering, Applied Mathematics, Physics) with an emphasis on signals processing. Programming in Matlab and possibly C++ will be a part of the project. Candidates with skills and experience in BCI, EEG/ECoG data analysis, real time signal processing will be preferred.
Administrative:
Funding is provided by an international mobility program for postdoctoral researchers (Eurotalent) co-funded by the European Commission and the CEA and managed by the CEA .The applicant shall not have resided or carried out its main activity in France for more than 12 months in the last 3 years. The deadline is early December 2016. The start of the contract (18-month duration, potentially renewable once) is expected June-July 2017.
Salary is commensurate with experience and the position carries a full social security and health coverage.
Applications including a CV, a motivation letter and the names of two references must be sent electronically to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr<mailto:tetiana.aksenova at cea.fr>), Mr. Guillaume CHARVET (guillaume.charvet at cea.fr<mailto:guillaume.charvet at cea.fr>). Selected candidates will be interviewed in Grenoble.
For more information please e-mail to Dr. Tetiana AKSENOVA (tetiana.aksenova at cea.fr<mailto:tetiana.aksenova at cea.fr>) and Mr. Guillaume CHARVET (guillaume.charvet at cea.fr<mailto:guillaume.charvet at cea.fr>).
References.

          Eliseyev, A., Mestais, C., Charvet, G., Sauter, F., Abroug, N., Arizumi, N., ... & Benabid A.-L. (2014, August). CLINATEC(r) BCI platform based on the ECoG-recording implant WIMAGINE(r) and the innovative signal-processing: preclinical results. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1222-1225). IEEE.

          Schaeffer, M. C., & Aksenova, T. (2016, September). Hybrid Trajectory Decoding from ECoG Signals for Asynchronous BCIs. In International Conference on Artificial Neural Networks (pp. 288-296). Springer International Publishing.

          Eliseyev, A., & Aksenova, T. (2014). Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model. Journal of neural engineering, 11(6), 066005.

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