Post-Doctoral Research Visit F/M Post-doc position in statistical machine learning

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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

A propos du centre ou de la direction fonctionnelle

The Inria Grenoble research center groups together almost 600 people in 23 research teams and 7 research support departments.

Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (University Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area.

Inria Grenoble is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world.

Contexte et atouts du poste

The post-doc will be part of the Thoth team, which is specialized in computer vision and machine learning, and will be supervised by Julien Mairal.

The post-doc will work at the Inria Rhône-Alpes research center near Grenoble. The unit includes more than 600 people, within 26 research teams and 10 support services. Grenoble is a lively city which hosts many foreign students and researchers. Located in the heart of the French Alps its direct surroundings offer great outdoor recreation including skiing, cycling, and hiking. Grenoble is well-connected to Lyon and Geneva airports and Paris can be reached from Grenoble in 3h by train.

Mission confiée

We are looking for candidates interested in the following topics
• developing machine learning techniques that are data efficient—that is, that are able to
learn without massive amounts of labeled training data.
• optimization for machine learning, with a focus on computational efficiency.
• pluri-disciplinary ML-related research, with potential collaborations in other scientific
fields.
The topic is broad on purpose. We expect the candidate to be autonomous, creative, and ready
to collaborate with PhD students and other researchers from the team.

Principales activités

conducting scientific research, communicating ideas, writing papers, write open-source code.

Compétences

We welcome candidates with a PhD degree in machine learning or related
fields, with publications in top venues (e.g., ICML/NeurIPS/JMLR for machine learning, Math.
Prog. or SIAM J. Optimization for optimization, CVPR/ECCV/ICCV/PAMI/IJCV for com-
puter vision...).

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 (90 days / year) 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
  • Complementary health insurance under conditions

Rémunération

2788€ gross salary / month