Transferability and Data-efficient Learning for
il y a 19 heures
**Transferability and Data-Efficient Learning for Perimeter Control in Urban Traffic Networks**:
- Réf **ABG-127215**
- Stage master 2 / Ingénieur- Durée 6 mois- Salaire net mensuel 600 euros- 26/11/2024- LICIT laboratory (ENTPE/UGE), Lyon- Lieu de travail- vaulx en velin Auvergne-Rhône-Alpes France- Champs scientifiques- Informatique
- Ecologie, environnement
- Mots clés- Deep Learning, Reinforcement Learning, Urban Traffic, Control Systems-
- 13/01/2025**Établissement recruteur**:
The Transport and Traffic Engineering Laboratory (LICIT-ECO7) is a Joint Research Unit which is placed under the supervision of University Gustave Eiffel and ENTPE (Post-graduate School of Transport and Civil Engineering).
LICIT-ECO7 is also part of the University de Lyon and Lyon Urban School.
The laboratory is located on both the ENTPE Campus and the University Gustave Eiffel Bron Campus in Lyon.
LICIT-ECO7 is part of the JRT GEST (Joint Research Team on Energy Management and Storage for Transport).
LICIT-ECO7’s main research theme is the Dynamic Modelling, Monitoring and Control of Mobility Networks as well as New Vehicles and New Components Usage, Ageing and Control.
**Description**:
The primary objective of this internship is to explore recent deep learning transfer techniques such as transfer learning, few-shot learning, and knowledge distillation to enable efficient transfer of knowledge across different regions with mínimal data and retraining.
**Profil**:
- Experience with Deep Learning and familiarity with concepts like reinforcement learning, Graph neural networks and attention mechanism.
- Proficiency in Python programming and experience with deep learning libraries such as PyTorch.
- Interest in urban mobility and traffic control systems.
**Prise de fonction**:
- Dès que possible
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