PhD Researcher in Federated Learning and Byzantine-Robustness
il y a 4 semaines
Job Description
This PhD position is a collaboration between two Inria research teams. The main goal of this PhD is to investigate the design of decentralized algorithms that are both robust and differentially private. The applicant is expected to have studied machine learning and/or optimization, and to have good mathematical skills. Some knowledge in distributed algorithms and broad interest for the topic of trustworthy AI is a plus.
Key Responsibilities
- Conduct research in federated learning and Byzantine-robustness
- Design and analyze decentralized algorithms
- Collaborate with other researchers
Requirements
- Master's degree in computer science or related field
- Good mathematical skills
- Knowledge in distributed algorithms and trustworthy AI
Benefits
- Subsidized meals
- Partially reimbursed public transportation
- 7 weeks of annual leave + 10 days of RTT (full-time) + possibility of exceptional leave (e.g. sick children, moving)
- Option to work from home (after 6 months of seniority) and flexible working hours
- Professional equipment available (video conferencing, loan of computer equipment, etc.)
- Social, cultural, and sports benefits (Association for the Management of Social Works of Inria)
- Access to professional training
- Social security
Salary
Gross monthly salary: 2100€ (years 1 & 2) and 2190€ (year 3)
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