Post-Doctoral Research Visit F/M Postdoc in parallel numerical optimization and statistical machine learning

Contract type : Fixed-term contract

Renewable contract : Yes

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit

About the research centre or Inria department

The Inria Grenoble research center groups together almost 600 people in 27 research teams and 8 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.

Context

The successful candidate will join the Thoth project team (https://thoth.inrialpes.fr/) within the Inria Centre at Université Grenoble Alpes (https://www.inria.fr/en/inria-center-universite-grenoble-alpes) to work under the supervision of Adrien Taylor and Scott Pesme.

Assignment

The successful candidate will

  • implement and compare different parallel and stochastic numerical optimization paradigms
  • accurately study the selected algorithms,
  • participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/) software package, including adding functionalities related to parallel optimization,

 

Main activities

  • Implementation and benchmark of numerical optimization algorithms.
  • Software maintenance and development.
  • Read scientific reports.
  • Write scientific reports.

Skills

Technical skills and level required: master's level in computer science, mathematics, applied mathematics, or engineering.

Languages: English.

Relational skills: easy communication, sociable with an appetite for working in a group.

Additional skills appreciated: rigorous, organized, curious, autonomous, proactive and dynamic.

A specialization in optimization, machine learning, statistical learning or game theory is appreciated. Research experience is a plus.

Benefits package

  • 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
  • Access to vocational training
  • Social security coverage

Remuneration

from 2788€ gross salary / month based on experience