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.
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