Decentralized Learning Researcher
il y a 3 semaines
Context and Advantages of the Position
This PhD research position is a collaboration between two Inria research teams, offering a unique opportunity to work on cutting-edge topics in decentralized machine learning and trustworthy AI.
Research Objectives
The main goal of this PhD is to investigate the intersection of privacy, robustness, and utility in decentralized learning, with a focus on designing algorithms that are both robust and differentially private.
Key Responsibilities
- Develop new theoretical analyses and decentralized algorithms that combine privacy and robustness
- Investigate the trade-offs between privacy, robustness, and utility in decentralized learning
- Collaborate with researchers from Inria and other institutions to advance the state-of-the-art in decentralized machine learning
Requirements
The applicant is expected to have a strong background in machine learning and/or optimization, as well as good mathematical skills. Some knowledge of distributed algorithms and a broad interest in trustworthy AI is a plus.
Benefits
- Subsidized meals
- Partially reimbursed public transportation
- 7 weeks of annual leave + 10 days of RTT (full-time base) + possibility of exceptional leave authorization (e.g., sick children, moving)
- Opportunity for remote work (after 6 months of seniority) and flexible work arrangements
- Professional equipment at your disposal (video conferencing, loan of computer equipment, etc.)
- Social, cultural, and sports benefits (Association for the Management of Inria's Social Works)
- Access to professional training
- Social security
Salary
Gross monthly salary: 2100€ brut per month (year 1 & 2) and 2190€ brut per month (year 3)
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