Inria
Temporary scientific engineer / Numerical optimization, machine learning and statistical methods
Job Location
Job Description
Level of Qualifications Required: Graduate degree or equivalent
Function: Temporary Scientific Engineer
Main Responsibilities- Implement and compare different distributed numerical optimization paradigms for statistical learning.
- Accurately study the selected algorithms.
- Participate in developing and maintaining the PEPit (https://pepit.readthedocs.io/) software package, including by adding functionalities related to learning.
- Implementation and benchmark of numerical optimization algorithms.
- Software maintenance and development.
- Read scientific reports.
- Write scientific reports.
Technical Skills: 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.
Benefits Package- 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.
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.
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.
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Location: Palaiseau, FR
Posted Date: 11/22/2024
Contact Information
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