Postdoc - développement de PETS sur mobile

1000scholars; Lyon; On-site; EUR 38,000 - 48,000; Full time

Job summary

1000scholars seeks a postdoctoral researcher to develop software components for privacy risk analysis on mobile location data and to collect user preferences before sharing data with third parties. You will collaborate with a PhD student and the team to quantify energy consumption and privacy risks in the mobile ecosystem.

The role involves contributing to papers, demonstrations, and working groups, with supervision of internships and coordination across related projects.

Qualifications

• PhD in AI, mobile, or privacy related field.
• Fluency in English for complex technical discussions.
• Interest in privacy regulation and bridging technical and legal aspects.

Responsibilities

• Develop mobile PETS components focusing on location data.
• Quantify privacy risks and energy use on mobile devices.
• Survey AI methods to generate synthetic location data.
• Publish papers and demonstrate solutions.

Skills

English Fluency

Privacy Regulation

Team Collaboration

Education

PhD in AI/Mobile/Privacy

Job description

Context

The collection of personal data and the associated privacyissues are a subject firmly grounded in public debates. Thegrowing awareness of the population on privacy issues led tostronger regulations on data protection (e.g., GDPR, HIPAA)and contributed to the appearance of new services makingprivacy an incentive vector such as privacy-based searchengine (e.g., Duckduckgo, Qwant), web browsing (e.g., WebProxy, Tor, Brave), or mailing (e.g., Protonmail).However, the ever-increasing digitalization of our societyexposes individuals to omnipresent data collection. This mas-... [omitted for brevity] ... finite planetary resources and the environmental issues.

Assignment

The main mission of the postdoc will be to develop softwarecomponents to implement privacy risk analysis based onlocation data directly on the mobile, collect user preferencesabout the revealed information in the data, and then modifyand protect data before sharing it with third parties. In thiscontext, the postdoc will closely work with a PhD student on the team, who is working on a related topic.The postdoc will also collaborate with the rest of the team, tobring its expertise in energy consumption quantification andin the mobile ecosystem.

Main activities

• Implementation of PETS on mobile with a focus on location data
• Quantification of privacy risks and energy consumption on mobile with a focus on location data
• State of the art on methods in AI to generate synthetic location data
• Writing papers / demonstration of the solutions
• Interviews and SHS stydies in relation of the developped solutions
• Participation in working groups related to team's projects
• Supervision of internships

Skills

4hD in AI / Mobile / PrivacyFluency in English: ability to participate in complex technical discussions and argue to defend technical positionsInterest for the privacy regulation and for bridging technical and legal considerations