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

Inria, the French national research institute for the digital sciences; France; À distance; EUR 28 000 - 34 000; Plein temps

Avantages offerts par ce poste

Partial reimbursement of public travel

Leave: 7 weeks + 10 RTT + exceptional/

Résumé du poste

Inria in France seeks a Recognised Researcher (R2) to advance numerical optimization projects and contribute to the PEPit software. The role focuses on implementing parallel and stochastic optimization paradigms, studying algorithms, and benchmarking methods within a collaborative research environment.

The position requires a master's-level background in CS/Math and offers teleworking options, with a 38.5-hour work week and a starting date around January 1, 2027.

Qualifications

• Master's level in computer science, mathematics, applied mathematics, or engineering.
• Research experience is a plus.

Responsabilités

• Implement and compare different parallel and stochastic numerical optimization paradigms.
• Accurately study the selected algorithms.
• Participate in the development and maintenance of the PEPit software package, including adding functionalities related to parallel optimization.
• Implementation and benchmark of numerical optimization algorithms.

Connaissances

Parallel optimization

Stochastic optimization

Numerical optimization

Rigorous

Organized

Curious

Autonomous

Proactive

Dynamic

Formation

Master's degree in computer science

Outils

PEPit

Description du poste

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Mathematics Researcher Profile Recognised Researcher (R2) Application Deadline 29 Oct 2026 - 00:00 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 2026-10548 Is the Job related to staff position within a Research Infrastructure? No

• 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,
  
• Implementation and benchmark of numerical optimization algorithms.

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

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.

Languages FRENCH Level Basic

Languages ENGLISH Level Good

Additional Information

• 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

from 2788€ gross salary / month based on experience

Selection process