Phd Position F/m Phd Position F/m
il y a 3 semaines
Le descriptif de l’offre ci-dessous est en Anglais_
**Type de contrat **:CDD
**Niveau de diplôme exigé **:Bac + 5 ou équivalent
**Fonction **:Doctorant
**Contexte et atouts du poste**:
This PhD project will be realized in the Inria NERV team, a research lab supported by the French institutions Inria, Inserm, CNRS, and Sorbonne University. The team is located in the Paris Brain Institute (ICM) within the Pitie-Salpetriere hospital.
The NERV team pursues a multidsciplinary research program at the intersection between biomedical engineering, complex systems and clinical neuroscience. NERV proposes new computational frameworks to analyze and model the spatiotemporal complexity of brain networks from multimodal and longitudinal neuroimaging data, and we design noninvasive intervention strategies based on brain-computer interfaces. Furthermore, the team ejoys a privileged position within a unique scientific and technological environment including comprehensive experimental core facilities (eg, neuroimaging, genetics, cellular), several animal models (eg, from nematodes to humans) and powerful centralized cluster computer system to realize big-data analysis and simulations.
**Mission confiée**:
This PhD project aims to explore the role of higher-order interactions in the development of advanced brain-computer interfaces (BCIs).
Current BCI systems often rely on linear models and first-order relationships to decode brain signals, which often leads to limitations in accuracy and adaptability. This research seeks to move beyond these constraints by investigating how higher-order interactions among neural signals can improve the performance and functionality of BCIs
**Principales activités**:
The first phase will focus on developing a theoretical framework for understanding and quantifying higher-order interactions in neural data. In a second phase, novel machine learning algorithms will be designed to leverage the insights gained from the theoretical framework. This will include implementing advanced techniques such as deep learning architectures that can automatically discover and model these higher-order interactions in real time.
**Compétences**:
**Required skills**
**Avantages**:
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
**Informations générales**:
- **Thème/Domaine**: Neurosciences et médecine numériques
Biologie et santé, Sciences de la vie et de la terre (BAP A)
- **Ville**: Paris
- **Centre Inria**: Centre Inria de Paris
- **Date de prise de fonction souhaitée**: 2024-12-01
- **Durée de contrat**: 3 ans
- **Date limite pour postuler**: 2024-12-06
**Consignes pour postuler**:
**Sécurité défense**:
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.
**Politique de recrutement**:
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.
**Contacts**:
- **Équipe Inria**: NERV
- **Directeur de thèse**:
**L'essentiel pour réussir**:
**Expected results and valorization**
The expected results will shed light on the mesoscale network properties which are needed to achieve generalizable artificial intelligence. These will be evaluated with respect to those obtained with state-of
- the-art approaches and interpreted from a theoretical and practical perspective. As such this project is expected to provide fresh knoweldge on the emergent structures of complex interconnected systems and their implication in biological and artificial scenarios, identifying at the same time the strong aspects and the weak points that can be addressed in the future. All the conducted research activity will be reported and shared with the PI's team and submitted for publications in peer-reviewed journals (eg, IEEE, APS) and/or presented in relevant international conferences (eg, NetSci, IEEE).
**A propos d'Inria**:
Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scient
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