Traffic modeling technician with non-optimal drivers. (Ref. 30267490012)

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH; España; Vor Ort; EUR 35.000 - 43.000; Vollzeit

Zusammenfassung

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

Qualifikationen

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

Aufgaben

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

Kenntnisse

Statistics and data science

Deep reinforcement learning

Experiment design

Tools

SUMO

PyTorch

Python

Jobbeschreibung

Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Engineering » Computer engineering Computer science Researcher Profile First Stage Researcher (R1) Positions Research Support Positions Application Deadline 16 Nov 2026 - 23:00 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number 30267490012 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Mission:

Investigate the impact that suboptimal drivers have on traffic in a simulated network.

Functions to be developed:

• Design experiments with SUMO.
• Building deep reinforcement learning models with PyTorch.
• Traffic modeling with the SUMO tool.
• Deep Reinforcement Learning techniques.
• Data analysis with Python.

Specific Requirements

Knowledge:

• Statistics and data science.

Professional Experience:

• Experience in functions similar to those described will be valued, specifically in the development of research activities, both in the university and industrial environment.

Languages CATALAN Level Basic

Languages ENGLISH Level Good

Languages SPANISH Level Good

Research Field Engineering » Computer engineeringComputer science Years of Research Experience 1 - 4

Additional Information

€38,684.20 gross per year (for a full-time position)

Eligibility criteria

All the candidates who cannot prove the required academic degree will be immediately withdrawn from the selection process.

The CVs will be assessed according the following general criteria:

• The maximum score for the candidates who accomplish all the eligibility criteria stated in the job offer will be 10 points.
• Threshold: 5 points.
• The maximum score (10 points) will be distributed as follows:
• 1 point for required speciality.
• 2 points for required academic training.
• 2 points for technic competences.
• 1 point for organisational competences.
• 3 points for professional experience.
• 1 point for any aspect of the candidate’s professional profile to be determined as specially relevant by the Selection committee.

If the selection committee decide to include a personal interview as additional step of the selection process, only the candidates scored 5 or above for their CV will be retained for the interview step.

The interview will be assessed according the following criteria:

• Threshold: 3 points.
• The maximum score will be distributed according the following criteria:
• 2 points for adequacy to functional competences of the job.
• 2 points for adequacy of professional experience.
• 1 point for any aspect of the candidate’s professional profile to be determined as especially relevant by the Selection committee.

The eligible candidates will be ranked from highest to lowest score, being this the selection criteria.

Selection process

The planned selection process is as follows:

• The members of the selection committee will decide for each case what the selection process will be, if an assessment is made only for the curriculum vitae or any other procedure is planned: interview, tests, etc ...
• Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request.
• Finally, the name of the person selected will be published on the same website where the offer is published.

Additional comments

Remember that the resume should not include any personal data or photographs.