Researcher in reinforcement learning applied to energy

GSCOP

vacanciesin.eu


7 Feb 2024
Job Information

Organisation/Company
GSCOP
Department
Engineering
Research Field
Engineering » Electronic engineering
Researcher Profile
First Stage Researcher (R1)
Country
France
Application Deadline
28 Feb 2024 – 20:00 (Europe/Paris)
Type of Contract
Temporary
Job Status
Full-time
Offer Starting Date
1 Mar 2024
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Reference Number
2024-RESEARCHAPPLENERGY-GSCOP
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

The G-SCOP laboratory (UMR 5272) is a multi-disciplinary research laboratory dedicated to the design, optimization and management of products and production systems. The G-SCOP laboratory is committed to developing research that meets the societal challenges posed by the four transitions: energy, environment, digital and industrial. The transformation of the industrial world linked to the concepts of the industry of the future (personalization, connectivity, agility, sustainability…) requires the evolution of production system design and management methods. In this context, production systems designed for mass production are moving towards agile and sometimes circular production, adapted to demand and available resources.

Position description:
Together with industrial partners, the G-SCOP laboratory has won a project aimed at optimizing the management of a ski resort, with various case studies. A simulator representing the randomized behavior of skiers endowed with different forms of intelligence has already been developed and will serve as a basis for validating resort management algorithms. Following a bibliographical search, the task in hand is to enrich the skier behavior models and design an energy management strategy based on reinforcement learning. The proposed solution will be validated on a simulator. Sensitivity analyses will be carried out to test the proposed algorithm.

 

Requirements

Research Field
Engineering » Electronic engineering
Education Level
PhD or equivalent

Skills/Qualifications

Skills: Ability to implement solutions in Python code is imperative.

Experience in reinforcement learning is desirable, as is expertise in energy systems management.

Proficiency in English and French is required. In addition, international experience will be a decisive asset.

Specific Requirements

Specifics of the position: The research may be led on 2 locations: Grenoble and St Martin-d’Hères.

Position assigned to a restricted area: NO (Device for the protection of the scientific and technical potential of the nation, conditioning the appointment of the researcher to the authorization of the Defense Security Officer).

Languages
ENGLISH
Level
Excellent

Languages
FRENCH
Level
Excellent

Research Field
Engineering » Electronic engineering

Internal Application form(s) needed
RESEARCH REINF LEARN APPL ENERGY.pdf
English
(183.58 KB – PDF)
Download
Additional Information
Selection process

Applications must be sent to [email protected]

Application deadline : February 28th 2024 (28/02/2024)

Work Location(s)

Number of offers available
1
Company/Institute
GSCOP
Country
France
City
GRENOBLE
Postal Code
38000
Street
46 avenue Félix Viallet
Geofield

Where to apply

E-mail
[email protected]

Contact

City
Grenoble
Website
https://g-scop.grenoble-inp.fr/en
Street
46 avenue Félix Viallet
Postal Code
38000
E-Mail
[email protected]

STATUS: EXPIRED

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