Research engineer in Reinforcement learning

Job title:

Research engineer in Reinforcement learning

Company

Job description

Offer DescriptionMain responsibilities:

  • Participate in cutting edge research in machine/deep learning applications in various fields (AgroTech, Defense, Health, Smartcities, …).
  • Develop solutions for real world, large scale problems.

Where to apply E-mail[email protected]RequirementsResearch Field Computer science Education Level PhD or equivalentSkills/QualificationsExpected qualifications:

  • Master or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science or equivalent practical experience.
  • Knowledge in Reinforcement Learning and strong background in Mathematics and Statistics.
  • Programming experience with python libraries and toolkits such as Matplotlib, Pandas, Scikit-learn, Tensorflow, PyTorch, TorchRL, OpenAI Gym, Baseline3, Ray RLlib, …
  • Familiar with Linux operating system.
  • Scientific thinking, ability to work with literature and the ability to implement complex projects
  • Ability to work fluently in English (spoken and written).

Languages ENGLISH Level GoodResearch Field Computer science Years of Research Experience NoneAdditional InformationSelection processAfter receiving its cover letter and CV, the successful candidate is contacted by e-mail; a contact by telephone is held to present our Research Center and the job offer, and to progress in the recruitment process. Finally, a more technical interview is done in Mons.Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute MULTITEL ASBL Country Belgium City Mons Postal Code 7000 Street Rue Pierre et Marie Curie 2 GeofieldContact CityMons WebsiteStreetParc Initialis Rue Pierre et Marie Curie 2 Postal Code7000 E-Mail[email protected]STATUS: EXPIREDShare this page

Expected salary

Location

Bergen, Henegouwen

Job date

Thu, 20 Jun 2024 04:27:24 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsnear.net) you saw this job posting.

To apply for this job please visit jobviewtrack.com.

Job Location