Offre en lien avec l’Action/le Réseau : RoCED/– — –
Laboratoire/Entreprise : LAMSADE – PSL – Université Paris Dauphine
Durée : 3 ans
Contact : kbelhajj@googlemail.com
Date limite de publication : 2023-04-15
Contexte :
The crucial role of data protection in safeguarding personal information, preventing malicious use of data, and ensuring responsible handling of data by organizations is now widely acknowledged. We have an opening on this subject for a PhD position with the objective to develop new solutions to help data providers who wish to share their data to better understand it, and to choose the best-suited data protection policies
Sujet :
The PhD Student will be investigating techniques for profiling and linking datasets that would help data providers to gain insight into their data and to choose data protection strategies that go beyond privacy protection to take into account the protection of the data provider’s economic assets. We aim to provide an end-to-end solution that helps data providers understand their data, identify the links that connect them as well as the links that connect them to external datasets, identify links that could be used maliciously to obtain privacy-intrusive information, and protect their datasets accordingly before sharing. The problems investigated and solutions developed will be guided and validated within case studies in the fields of health and economics.
Profil du candidat :
The successful candidate will enroll as a PhD student in the Computer Science department of the Paris Dauphine University-PSL (under the co-direction of Khalid Belhajjame and Daniela Grigori) and will become a member of the Data Science team of the same university. Paris Dauphine University is located in the city of Paris, and is a member of PSL (Paris Sciences et Lettres). PSL is the first French university in Times Higher Education ranking.
Formation et compétences requises :
We seek strongly motivated candidates prepared to dedicate to high quality research.
The candidate should have (or be close to obtaining) a Master’s degree or equivalent in
computer science or applied mathematics.
Adresse d’emploi :
Interested candidates are invited to send the following to khalid.belhajjame@dauphine.fr and
daniela.grigori@lamsade.dauphine.fr
– academic CV
– academic transcripts of BSc and MSc
– one page motivation letter explaining why the candidate is suitable for the position
– contact details of two referees