Research Engineer: Crowd Data & Simulation Pipelines

1000scholars; Rennes; On-site; EUR 42,000 - 62,000; Full time

Job summary

Inria Centre at Rennes University, part of the VirtUs team, seeks a research engineer to support field data acquisition, video processing and data-driven modelling within the FOUL-X project. You will help deploy robust pipelines, ensure data quality and contribute to reproducible experiments across several research activities.

The role involves working closely with postdoctoral researchers, handling data processing, software integration and tools development for crowd dynamics research in France.

Qualifications

• Strong programming skills, particularly in Python.
• Experience in scientific computing, data processing, computer vision, machine learning, simulation, or a closely related field.
• Ability to manipulate and process large datasets.
• Experience developing robust research or scientific software.
• Familiarity with standard collaborative software development tools such as Git.
• Ability to rapidly understand and integrate existing software components.

Responsibilities

• Support field data acquisition systems, video and trajectory processing pipelines, dataset management and visualization tools.
• Assist with data anonymisation and GDPR requirements in the project.
• Develop scripts and tools for preprocessing large volumes of video data and automate workflows.
• Contribute to benchmarking, visualisation and quantitative comparison of simulation results.
• Maintain and document software components and ensure reproducible experiment workflows.
• Collaborate across research activities to integrate tracking, dataset analysis and machine learning pipelines.

Skills

Python

Data processing

Computer vision

Machine learning

Git

Scientific software

Large datasets

Tools

OpenCV

PyTorch

NumPy

SciPy

Pandas

Linux

C++

Job description

Inria Centre at Rennes University, part of the VirtUs team, seeks a research engineer to support field data acquisition, video processing and data-driven modelling within the FOUL-X project. You will help deploy robust pipelines, ensure data quality and contribute to reproducible experiments across several research activities.

The role involves working closely with postdoctoral researchers, handling data processing, software integration and tools development for crowd dynamics research in France.