2022-04890 - Reinforcement Learning Engineer

Contract type : Fixed-term contract

Renewable contract : Oui

Level of qualifications required : Graduate degree or equivalent

Fonction : Temporary scientific engineer

About the research centre or Inria department

The Inria research centre in Lyon (previously the Lyon branch of the Inria centre in Grenoble) is the 9th Inria research centre, formally created in December 2021.  It brings together approximately 270 people (including 110 Inria employees) in 15 research teams and research support services.

Its staff are distributed at this stage on 2 campuses: in Villeurbanne La Doua (Centre / INSA Lyon / UCBL) on the one hand, and Lyon Gerland  (ENS de Lyon) on the other. A third site should be opened in the course of 2022. The teams are mainly hosted with our partners. 

The centre's teams work closely with research and higher education institutions (ENS de Lyon, UCBL, INSA Lyon, etc.), their laboratories, and other research organisations in Lyon (CNRS, INRAE, competitiveness clusters, etc.), but also with Lyon and regional economic players. Many international collaborations are also underway.

The Lyon centre is active in the fields of software, distributed and high-performance computing, embedded systems, quantum computing and privacy in the digital world, but also in digital health and computational biology.

 

Context

Eol Robotics is a startup project incubated at the Inria Startup Studio on the Doua campus in Lyon. the contract is signed between Inria and the candidate for 6 months. The engineer will be attached to the Transfer Service for Innovation and Partnership. The manager will be Paul Aubin, the Eol Robotics project leader.

 

Assignment

Wind power has become the cheapest source of energy, it is an elegant and necessary response to the energy challenges to come. In fact, the development of the sector is experiencing a powerful dynamism: the EU doubles its capacities every 5 years.

A wind turbine takes energy from the wind, in its wake the wind loses power and gains in turbulence. Wind turbines in a farm that are downwind experience a decrease in production and an increase in structural loads.

Fortunately, wake flow control methods exist! We want to develop an optimal wind farm control from reinforcement learning techniques. It will increase the electricity production, reduce the maintenance costs and for that we need you.

The role of the position is to participate in the development and validation of reinforcement learning algorithms, their validation and the establishment of strategic R&D partnerships.

Eol Robotics is a startup hosted in a digital science research center. The workplace has a strong entrepreneurial mindset which entails to work in a small team, on cross-functional tasks, with high challenges and great autonomy.

At the end of the fixed-term contract, the next steps consist in creating the company and launching a commercial product from our development. It is therefore a great opportunity for candidates who wish to get involved in a startup project.

For more information, please refer to : www.inria.fr and www.eolrobotics.fr

Main activities

  • Enhance the simulator features of fluid modeling, wind turbine models and structural loads
  • Developing deep reinforcement learning algorithms for the optimization of wind farms
  • Carry out performance and robustness measurements with the aim of certifying the algorithms
  • Participate in on-site test campaigns and data mining
  • Contribute to the implementation of strategic partnerships with research centers, universities and the industry

Skills

  • Professional or academic experience in developing and operating (DevOps / MLOps) reinforcement learning algorithms
  • Experience with one or more general purpose programming languages including but not limited to: C/C++, Python, PowerShell
  • Additional Technologies & Skills: AWS, GCP, Git, Tensorflow, SQL database, Matlab, bash
  • Strong coding, debugging, algorithm design and problem solving skills.
  • Basic knowledge of aerodynamics and structural loads
  • Motivated, goal-oriented, team-player and result-driven mindset
  • Fluency in English, at least beginner in French

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 (90 days / year) 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  under conditions

Remuneration

Gross monthly salary from 2,652 € (depending on experience and qualifications).