Research Fellow on Differential Privacy – DesCartes WP2
DESCARTES PROGRAM
The DesCartes programme is developing a hybrid AI, combining Learning, Knowledge and Reasoning, which has good properties (need for less resources and data, security, robustness, fairness, respect for privacy, ethics), and demonstrated on industrial applications of the smart city (digital energy, monitoring of structures, air traffic control).
The program brings together 80 permanent researchers (half from France, half from Singapore), with the support of large industrial groups (Thales SG, EDF SG, ESI group, CETIM Matcor, ARIA etc.).
The research will take place mainly in Singapore, at the premises of CNRS@CREATE, with a competitive salary and generous funding for missions.
Read more about the DesCartes program here.
DESCRIPTION
This postdoctoral research project will focus on differential privacy. The goal is to develop holistic methods for analyzing heterogeneous time-series and graph data with differential privacy, aiming to achieve both strong privacy guarantees and good empirical accuracy and efficiency.
EXPERIENCE & QUALIFICATIONS
A successful candidate will have a PhD degree in computer science or applied mathematics, having a good knowledge of differential privacy and at least 3 publications in top-tier conferences such as SIGMOD, VLDB, and KDD. The candidate is expected to have strong programming skills, be highly motivated and creative.
Funding: This Postdoc will be funded by DesCartes (A CREATE Programme on AI based Decision making in Critical Urban Systems), a hybrid AI project between CNRS and Singapore. It will be co-supervised between researchers from the National University of Singapore (NUS), Nanyang Technological University (NTU), TU Eindhoven and Paris-Saclay University.
Keywords:
1. artificial intelligence
2. differential privacy
FURTHER INFORMATION & CONTACT
Gross Monthly Salary Range (SGD): 6,900 to 9,000 (depending on suitability and experience).
Duration of the contract: 1 year contract
Workplace address: CREATE Campus, CREATE Tower, 1 Create Way #08-01 Singapore 138602.
Interested applicants, please send your resume to:
– Xiao Xiaokui: xkxiao@nus.edu.sg
– Bogdan Cautis: bogdan.cautis@u-psud.fr
– Please attach your full CV, with the names and contacts (including email addresses) of two-character referees.