Inria (Institut national de recherche en informatique et en automatique)
Le Chesnay, France

PhD in Visualization in Inria – France

Job Type
PhD
Field
Visualization
Location
Le Chesnay, France
Published
Sep 18, 2026
Deadline
March 28, 2027

Summary

The Inria Saclay‑Île‑de‑France Research Centre seeks a PhD candidate for a three‑year fixed‑term position focused on visualizing the plausibility and bias of geographic data used in digital twins. The project, funded by the EDT initiative, combines interactive data visualization, artificial intelligence, and HCI to develop methods that automatically detect and quantify errors and biases in crowd‑sourced and heterogeneous spatial datasets. The researcher will conduct requirements analysis, design, implementation, and evaluation, producing prototype tools, scientific publications, and contributing to international collaborations. The role offers a monthly gross salary of 2,300 euros, comprehensive benefits, and a supportive research environment within Inria’s AVIZ team.

Key Facts

DepartmentAVIZ team – Interaction and visualization
Position TypePhD Position
DisciplineVisualization
Research AreaVisualization of the Plausibility and Bias for Data Resources used in a Geographic Digital Twin
Degree RequiredGraduate degree or equivalent
SalaryMonthly gross salary 2.300 euros
FundingFunding from EDT project
Contract Duration3 years
LanguageEnglish
Deadline2027-03-28
Employer AddressGIF SUR YVETTE, France – Inria Center: Centre Inria de Saclay

About the Project

The PhD project investigates how to visualise and automatically assess the plausibility of crowd‑sourced and heterogeneous geographic data, identifying errors and biases using AI techniques. It aims to create prototypical visual analytics tools that quantify data quality within digital twins, covering remote sensing imagery, volunteered geographic information, and other 2D/3D spatial data. The work follows a typical HCI/visualisation pipeline of requirements analysis, design, implementation, and evaluation, and will result in scientific publications and contributions to the EDT project.

Key Responsibilities

  • Analyse and visualise plausibility of crowd‑sourced geographic data
  • Develop AI methods to automate detection of data errors and biases
  • Implement prototypical visual analytics tools within the EDT project
  • Conduct requirements analysis, design, implementation, and evaluation
  • Collaborate with domain scientists and international research partners

Required Skills

  • Interest in interactive data visualization and analysis
  • Good written and spoken English communication
  • Background in artificial intelligence
  • Ability to collaborate with domain scientists
  • Capability to disseminate results in scientific publications

Who Should Apply

Well‑motivated students with a graduate degree or equivalent, a strong interest in interactive data visualization and analysis, good written and spoken English, and a background in artificial intelligence are encouraged to apply.

Benefits

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • 7 weeks annual leave plus 10 extra RTT days
  • Teleworking and flexible organisation
  • Professional equipment
  • Social cultural sports events
  • Access to vocational training
  • Social security coverage

About the Employer

Inria is the French national institute for research in digital science and technology. The Saclay‑Île‑de‑France Research Centre, established in 2008, hosts 39 project teams, collaborates with Paris‑Saclay University and Institut Polytechnique de Paris, and employs over 600 staff from 44 nationalities. Inria leads more than 300 research and innovation projects, focusing on fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital health, digital twins, and defence technologies.

Frequently Asked Questions

What is the application deadline?

2027-03-28

What is the contract duration?

3 years

What is the monthly gross salary?

2,300 euros

This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.