Intern in The Field of Transportation/reinforcement

il y a 2 semaines

EschsurAlzette, Esch-sur-Alzette, Luxembourg LISER Temps plein

_Campus Belval, 11, Porte des Sciences, L Esch-Sur-Alzette, Luxembourg_

_ _

LISER (Luxembourg Institute of Socio-Economic Research)

is recruiting an

Intern in the field of transportation/reinforcement learning research (f/m)
***-
Ref: 23-07
-
Starting date: ASAP and before July 2023
-
Duration: 3-4 months
-
Mandatory internship agreement

LISER is looking for a motivated student to join the research teams at the _Urban Development and Mobility Department_ at LISER and the
_MobiLab _at the University of Luxembourg within the framework of the research project «
_Multimodal Electric VEhicle demand RESponsive Transport (M-EVRST)_ ».

This internship will provide you with the opportunity to:

  • Deepen your knowledge of deep learning and reinforcement learning;
  • Improve your methodological and programming skills in machine learning, applied mathematics, and operations research;
  • Develop a rigorous scientific research attitude and methods for solving challenging optimization problems;
  • Actively participate in a stimulating research environment and innovative project teams.

Your role

  • Develop a deep reinforcement learning approach for dynamic charging scheduling of electric fleet;
  • Implement the developed algorithms (MATLAB or others); test their performance and compare them with stateoftheart methodologies using numerical test instances;
  • Academic research paper writing.

Your profile
-
Master student in Mathematics, Computer Sciences, Engineering or a related discipline;

  • Good background in
    mathematics and/or operations research;
  • Good programming skills in
    MATLAB or
    other languages;
  • Fluency (oral and written) in
    English, any other language would be considered as an asset.

We offer


A
mandatory internship agreement for a period of 3-4 months, full-time / part-time, in a dynamic and challenging international research environment with an attractive remuneration.


About LISER


LISER is a publicly funded research institute located in Luxembourg and dedicated to applied empirical research in economic, social and spatial sciences.

Interdisciplinarity is a key element for stimulating scientific innovation.

The Institute attracts top researchers from all over the world and high-level student training is a vibrant part of the Institute's activities.

The Institute's staff consists of about 190 employees, more than 50% of the staff being researchers, mainly from the fields of economics, sociology, and geography.


The Institute is located on the new Belval campus in the south of Luxembourg, which hosts the University of Luxembourg and a substantial part of the country's publicly funded research facilities, i.e.

LISER, the Luxembourg Income Study (LIS) cross-national data center, the Luxembourg institutes of Health (LIH) and of Science and Technology (LIST).


About Luxembourg


Luxembourg with its > 600,000 inhabitants is one of the wealthiest countries in the world and provides a stimulating mixture of modern culture and tradition.

Contemporary urbanity of its capital lies in close vicinity to a rich nature.

In addition to excellent health, education (public, private and high level international schools) and recreational services, the community affords a rich variety of cultural activities typical of a major university environment, including museums, music, art and theatre.

The official languages are French, German and Luxemburgish. Information for foreign researchers interested in Luxembourg research is accessible via the national EURAXESS platform.

Application process

  • Curriculum Vitae
  • Short cover letter outlining:
  • your particular interest in this internship;
- your knowledge/skills related to this topic;
- your availability during the months from March to July 202
  • Certificate of valid university registration.

Please note that this internship position will remain open until filled.
**LISER is an Equal Opportunity Employer

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