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    Inria

    Research and Development

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

    Grenoble, FranceOn-SiteTemporaryPosted 7h ago
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    Job description

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

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    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

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    General Information

    • Theme/Domain : Optimization, machine learning and statistical methods
      Scientific computing (BAP E)
    • Town/city : Grenoble
    • Inria Center : Centre Inria de l'Université Grenoble Alpes
    • Starting date : 2027-01-01
    • Duration of contract : 12 months
    • Deadline to apply : 2026-10-29

    Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.

    Instruction to apply

    Applications must be submitted online on the Inria website.

    Processing of applications sent by other channels is not guaranteed.

    Defence Security :
    This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

    Recruitment Policy :
    As part of its diversity policy, all Inria positions are accessible to people with disabilities.

    Contacts

    • Inria Team : THOTH
    • Recruiter :
      Taylor Adrien / [email protected]

    About Inria

    Inria, the French national institute for research in digital science and technology, supports the French government in national research and innovation strategies in the digital field, acting as Digital Programs Agency. Inria leads over 300 research and innovation projects with its 3,500 scientists, engineers, and support staff, in partnership with universities and the digital ecosystem (businesses, entrepreneurs, and public stakeholders). Together, we explore strategic fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital transformation in healthcare, digital twins, and digital technologies for defence. We develop practical solutions such as software, tech startups, partnerships with national companies, and cutting-edge training programmes. Our goal is to drive scientific, technological, and industrial excellence to ensure France’s digital sovereignty.

    Job details are sourced from the employer's original posting.

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    About the company

    Inria

    INRIA is the French national research institute for digital science and technology.

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