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Computer Science, Data Science, Visualization, Neuroimaging, Remote Sensing, Crowd Simulation, DNA Data Storage● Open×5 positionsPreview

PhD Positions in Computer Science and Data Science at Inria, France

Five fully funded PhD positions across visualization, remote sensing, neuroimaging, crowd simulation, and DNA data storage at Inria’s leading research teams.

Best for:Best for PhD candidates with expertise in computer science, data science, or related fields, particularly those interested in visualization, AI, remote sensing, neuroimaging, or DNA data storage.

Inria · Various (Saclay, Bordeaux, Paris), France · R1 · First-stage researcher
More professors at Inria
Data visualization and uncertaintySpatial geographic data analysisRemote sensing and 3D change detectionMultimodal neuroimaging and cognitionCrowd simulation in augmented realityDNA-based data storage and retrieval
Deadline
—
Funding
Stipend
Fully funded (specific amounts not detailed in source)
Start date
Flexible (typically aligned with academic calendar)
Full-time
Location
Various (Saclay, Bordeaux, Paris)
France

Overview

Inria, France’s national research institute for computer science and automation, offers five fully funded PhD positions across diverse research domains. These positions are hosted by specialized teams such as AVIZ, JUNN, MIND, and PEAR, each focusing on cutting-edge topics like data visualization, remote sensing, neuroimaging, crowd simulation, and DNA-based data storage. Applicants must have a strong background in computer science, data science, or related fields, with a particular emphasis on visualization, AI, or spatial data analysis. The positions require applications in English and offer fully funded stipends, including travel support for collaborative projects. Each project involves collaboration with international partners and access to advanced research infrastructure, including high-performance computing and specialized datasets.

PhD positionsdata visualizationgeographic digital twinremote sensingneuroimagingcrowd simulationaugmented realityDNA data storage

What you'll do

  • Develop methods for visualizing data uncertainty, bias, and plausibility in geographic digital twins.
  • Investigate automated techniques for detecting and quantifying errors and biases in spatial data sources.
  • Develop efficient algorithms for detecting 3D changes in remote sensing data using geometric primitives.
  • Analyze spatio-temporal distributions of geometric changes at large scales (city to national level).
  • Predict individual cognition using multimodal neuroimaging data and develop predictive models.
  • Design and implement crowd simulation tools for large-scale event planning using augmented reality.
  • Explore robust data retrieval methods for DNA-based data storage systems.
  • Collaborate with international partners and present research findings at international conferences.

Requirements

Degree required: Master's degree (or equivalent) in Computer Science, Data Science, Artificial Intelligence, or a related field

Degree offered: PhD

Language: English; applications must be submitted in English

Instruction: English

Required skills
  • Strong background in visualization and data analysis
  • Experience with artificial intelligence or machine learning techniques
  • Proficiency in programming languages such as Python, C++, or similar
  • Familiarity with geographic information systems (GIS) or remote sensing tools
  • Knowledge of neuroimaging data analysis or neuroinformatics (for neuroimaging position)
  • Experience with crowd simulation or augmented reality technologies (for crowd simulation position)
  • Background in DNA data storage or bioinformatics (for DNA data storage position)
Nice to have
Experience with visualization libraries such as D3.js, Matplotlib, or custom visualization toolsKnowledge of deep learning frameworks like TensorFlow or PyTorchFamiliarity with high-performance computing environmentsExperience with collaborative research environments and international project management
Eligibility
  • Open to international applicants
  • No specific nationality restrictions mentioned
  • No age restrictions mentioned
  • No prior experience caps mentioned

Funding & terms

Type
Stipend
Amount
Fully funded (specific amounts not detailed in source)
Duration
3 years (standard PhD duration)
Programme
Inria PhD funding
Inria

How to apply

Deadline: 2026-11-20 to 2027-03-28 (varies by position)

Applicants must submit their applications online through Inria’s job portal. Ensure all required documents are included and applications are sent in English. Each position has its own specific deadline, so check the individual position details for submission deadlines.

Documents required
  • CV
  • Cover letter
  • Motivation letter
  • Academic transcripts
  • Letters of recommendation (usually 2-3)
  • Proof of English proficiency if applicable
↗Apply on site

Contact

Inria Recruitment Team· PhD Application Inquiries

https://jobs.inria.fr

ML
Prof.
Maria Lobo-Gunther
Various Departments (AVIZ, JUNN, MIND, PEAR)
Lab
AVIZ, JUNN, MIND, PEAR
Inria
Inria PhD fundingFrance
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