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Post-doctoral Research Visit F/m
Il y a 3 mois
Le descriptif de l’offre ci-dessous est en Anglais_
**Type de contrat **:CDD
**Contrat renouvelable **:Oui
**Niveau de diplôme exigé **:Thèse ou équivalent
**Fonction **:Post-Doctorant
**Contexte et atouts du poste**:
The hired postdoc will join PreMeDICaL, an Inria/Inserm research team based in Montpellier
(France), and will be jointly supervised by Aurélien Bellet and Julie Josse. PreMeDICaL specializes
in developing precision medicine methods through causal learning and federated learning, while
ensuring the confidentiality of medical data. The team is composed of researchers in statistics,
machine learning, AI, as well as clinicians, and aims to bridge the gap between fundamental research
and its effective use in healthcare. Through his/her research, the hired postdoc will contribute to
the research axes "Personalized medicine by integration of different data sources" and "Personalized
medicine with privacy and fairness guarantees".
**Mission confiée**:
Bilevel optimization has recently witnessed significant advancements with the development
of efficient general-purpose algorithms with proven convergence properties. This postdoc aims
to explore how these techniques can offer novel and provably effective solutions to challenging
machine learning tasks that can be framed as bilevel optimization problems. Emphasis will be
placed on leveraging these methodologies for privacy-preserving and fair machine learning, as
well as for learning on data with missing values.
**Principales activités**:
**Compétences**:
The applicant must hold a PhD in machine learning, optimization or related fields. She/he is
expected to have strong mathematical skills (e.g., numerical optimization, probability, statistics,
linear algebra). Some knowledge in bilevel optimization, trustworthy machine learning and/or
missing values is a plus.
**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 (after 6 months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
**Informations générales**:
- **Thème/Domaine**: Optimisation, apprentissage et méthodes statistiques
Statistiques (Big data) (BAP E)
- **Ville**: Montpellier
- **Centre Inria**: Centre Inria d'Université Côte d'Azur
- **Date de prise de fonction souhaitée**: 2024-10-01
- **Durée de contrat**: 1 an, 4 mois
- **Date limite pour postuler**: 2024-06-16
**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**: PREMEDICAL
- **Recruteur**:
**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 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.
