Offre en lien avec l’Action/le Réseau : – — –/– — –
Laboratoire/Entreprise : Université Paris-Dauphine – PSL, laboratoire LAMS
Durée : 3 ans
Contact : daniela.grigori@dauphine.fr
Date limite de publication : 2022-09-25
Contexte :
We have an opening 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. T
The PhD thesis is part of an interdisciplinary project involving another PhD thesis on
data governance in the field of management sciences. We anticipate that the interaction
between the two doctoral students will lead to interdisciplinary contributions in addition
to computer science-focused solutions.
The PhD candidate will work in close collaboration with members of the data science
team of the Paris Dauphine University. The problems investigated and solutions developed
will be guided and validated within case studies in the fields of health and economics.
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).
[1] https://dauphine.psl.eu/dauphine/dauphine-numerique
Sujet :
PhD position on Data Profiling, Protection and Sharing
he PhD Student will be investigating
techniques for mining, profiling and linking datasets that would help data providers to gain
insight into their data, to estimate its (economic) value, and to choose data protection
strategies that go beyond privacy protection to take into account the protection of
the data provider’s economic assets.
Profil du candidat :
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. Starting date Octomber/2022.
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
Formation et compétences requises :
Master’s degree or equivalent in
computer science or applied mathematics
Adresse d’emploi :
Université Paris-Dauphine – PSL, laboratoire LAMSADE, Paris
Document attaché : 202209121630_PhD position on Data Profiling.txt