Data Protection Specialist
il y a 2 semaines
About the Role
The Comete project team at INRIA Saclay Center is seeking a highly skilled researcher to join their team and contribute to the development of methods and software for estimating statistics from data protected with local differential privacy (DP). As a key member of the team, you will work closely with the researchers to investigate efficient methods for achieving good precision of the distribution estimation in scenarios where the mechanisms and/or the level of noise are very different from each other.
Key Responsibilities
- Collaborate with the research team to develop efficient methods for statistical estimation from data protected by personalized local DP
- Develop programs based on the above methods
- Conduct experiments on real and synthetic data
- Write documentation and develop demos
- Write reports and papers
Requirements
To be successful in this role, you will need:
- PhD in Computer Science with expertise in anonymization techniques
- Knowledge of data anonymization methodology
- Knowledge of methods for analyzing re-identification risk and associated inference risks
- Knowledge of measures of data usefulness for statistical analyses
- Practical knowledge of data analysis languages (R, Python, C++) and database management software (MySQL, etc.)
- Ability to write scientific papers
- Ability to monitor methodologies
- Rigor, good organization, sense of priorities, autonomy
- Mathematical skills
- Teamwork skills
What We Offer
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
Salary
According to profile
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