We invite applications for a PhD student willing to join the project “Learning
to Adaptively Attack and Defend Privacy of Machine Learning Systems”.
This topic is at the intersection of reinforcement learning and
differential privacy. The candidate will be supported by AI_PhD@Lille
grant, and supervised by D. Basu and
.
The appointee will be based at Scool team (previously SequeL) in Villeneuve d'Ascq, France.The duration of the contract is three years. The position will commence on 1st September, 2021. Application is open till
15th April, 2021.
Qualification: Applicants should have at least a Master's degree or equivalent in Computer Science, Statistics, or related field. Some experience with machine learning is desired. Experience in programming (Python, C/C++), machine learning software (e.g. PyTorch), and Linux/Ubuntu OS is a plus.
For further details, check the link and directly email us!
Contact:
59650 Villeneuve d'Ascq, France