PhD Position: Visualization of Plausibility and Bias for Data Resources in Geographic Digital Twins
Join the AVIZ team to develop AI-driven visualization methods for identifying and quantifying biases in geographic data.
Best for:Best for students with a strong background in data visualization, HCI, and machine learning who are interested in geographic data analysis.
Overview
The Inria Saclay-Île-de-France Research Centre is seeking a motivated PhD candidate to join the AVIZ team. This research project focuses on the visualization of data plausibility and bias within geographic digital twins, specifically addressing challenges in heterogeneous and crowd-sourced spatial data. The successful applicant will employ an analysis-design-implementation-evaluation approach to automate the identification of data errors and biases using artificial intelligence. The role involves collaborating with domain scientists and contributing to the EDT project, with the expectation of producing prototypical implementations and high-quality scientific publications.
What you'll do
- Analyze and visualize the plausibility of crowd-sourced and heterogeneous geographic data.
- Develop and apply artificial intelligence methods to automate the identification of data errors and biases.
- Design and implement prototypes within the framework of the EDT project.
- Conduct empirical evaluations of visualization techniques.
- Disseminate research findings through international journals and conferences.
- Collaborate with domain scientists and international research partners.
Requirements
Degree required: Master's degree (Bac + 5) or equivalent in Computer Science or a related field.
Degree offered: PhD
Language: English; Advanced proficiency required.
Instruction: English
- Strong manual programming skills.
- Experience in machine learning and artificial intelligence.
- Interest in interactive data visualization and analysis.
- Excellent written and spoken communication skills in English.
- Must be eligible to work in France.
- Position may be subject to ZRR (Zone à Régime Restrictif) security clearance.
Funding & terms
How to apply
Deadline: 2027-03-28
Applications must be submitted exclusively through the official Inria online portal. Ensure all materials are provided in English, as applications in other languages will not be considered.
- CV
- Cover letter
- Academic transcripts
Contact
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