Offre en lien avec l’Action/le Réseau : RoCED/– — –
Laboratoire/Entreprise : LAMSADE, Université Paris Dauphine
Durée : 3 ans
Contact : firstname.lastname@example.org
Date limite de publication : 2022-07-20
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.
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. To do so, the PhD Student will be investigating techniques for 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 September/2022.
The successful candidate will enroll as a PhD student in the Computer Science department of the Paris-Dauphine University (under the co-direction of myself and Prof. 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).
Formation et compétences requises :
Interested candidates are invited to send the following to email@example.com and
– 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
Adresse d’emploi :
Université Paris Dauphine, Paris
Document attaché : 202206040950_annoce_phd_position.txt