Traffic Modeling Engineer: SUMO, RL & Python

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH; España; Presencial; EUR 35.000 - 43.000; Jornada completa

Descripción de la vacante

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH seeks a researcher to investigate how suboptimal drivers affect traffic in a simulated network. The role focuses on designing experiments with SUMO, building deep reinforcement learning models with PyTorch, and modeling traffic flows.

Knowledge of statistics and data science is required, with experience in research activities valued. Fluent in English and Spanish, with Catalan basics as noted, and a strong foundation in data-oriented

Formación

• Knowledge: Statistics and data science.
• Experience in research activities and related functions is valued.
• Knowledge of deep reinforcement learning techniques is desirable.

Responsabilidades

• Design experiments with SUMO.
• Build deep reinforcement learning models with PyTorch.
• Traffic modeling with the SUMO tool.
• Data analysis with Python.

Conocimientos

Statistics and data science

Deep reinforcement learning

Experiment design

Herramientas

SUMO

PyTorch

Python

Descripción del empleo

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH seeks a researcher to investigate how suboptimal drivers affect traffic in a simulated network. The role focuses on designing experiments with SUMO, building deep reinforcement learning models with PyTorch, and modeling traffic flows.

Knowledge of statistics and data science is required, with experience in research activities valued. Fluent in English and Spanish, with Catalan basics as noted, and a strong foundation in data-oriented