Publisher
source

Eurecom

Digital Security EURECOM in France

Degree Level

PhD

Field of study

Computer Science

Funding

This is a fully funded 3-year PhD position supported by the French National Research Agency (ANR) as part of the GOOD-BIAS project. Funding covers stipend and research expenses. Opportunities for international lab visits and conference presentations are included.

Deadline

Expired

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Country

France

University

Eurecom

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Keywords

Computer Science
Signal Processing
Information Technology
Trustworthy Computing
Computer Vision
Bias
Facial Recognition
Robustness Analysis
Digital Forensics
Biometric
Machine learning

About this position

*?? PhD Opportunity at EURECOM – Trustworthy AI for Face Recognition ??*
EURECOM’s Digital Security Department is opening a fully funded 3-year PhD position as part of the newly accepted GOOD-BIAS project, supported by the French National Research Agency (ANR).

This exciting research will focus on fairness, robustness, and transparency in AI-driven face recognition systems.

Find out how to apply here ?? https://lnkd.in/dZG8ubE2

Part 1

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• Research Paper Writing & Publication
• Thesis & Book Writing
• Gift Co-Authorship Opportunities
• Scholarships & Test Preparation
• Online Tutoring & Assignments
• scholarship update
# https://lnkd.in/dsr9gg8T

Funding details

This is a fully funded 3-year PhD position supported by the French National Research Agency (ANR) as part of the GOOD-BIAS project. Funding covers stipend and research expenses. Opportunities for international lab visits and conference presentations are included.

What's required

Applicants must hold a Master’s degree (or equivalent) in Computer Science or related fields such as Machine Learning, Biometrics, Image Forensics, or Signal and Image Processing. Strong programming skills are required, with experience in Python and C/C++. Candidates should have a solid background in signal/image processing, good knowledge of parallel computing platforms, excellent analytical thinking, and strong motivation for interdisciplinary research. Fluency in English is essential. Application materials must include a detailed curriculum vitae, a list of publications (highlighting the three most important), a two-page motivation letter outlining research and educational perspectives, and the names and addresses of three references.

How to apply

Prepare your CV, publication list, motivation letter, and references. Email your application to [email protected] with the reference SN/CG/fairness/092025. See https://lnkd.in/dZG8ubE2 for details.

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