PhD position in Secure and Private Machine Learning and Decision Making at Chalmers

We are looking for an excellent, motivated, self-driven doctoral student to work in the area of machine learning and decision theory with a focus on security and privacy. The position is for five years at the Department of Computer Science and Engineering, within the division of Computing Science and the group of Algorithms, Learning and Computational Biology (http://www.cse.chalmers.se/research/lab), who are doing research on fields ranging from machine learning, statistics, algorithms, optimisation, reinforcement learning to computational biology, text and massive data analysis.

The student will be expected to develop and analyse state-of-the-art algorithms for distributed machine learning and decision making that provide users with strong privacy guarantees. In particular, the research will be focused on machine learning and differential privacy for distributed systems, but some aspects of the work will involve recent advances in cryptography. The student will be supervised by Dr. Christos Dimitrakakis (Machine learning, decision theory and differential privacy – see http://www.cse.chalmers.se/~chrdimi/) and co-supervised by Dr. Katerina Mitrokotsa (Cryptography and security – see http://www.cse.chalmers.se/~aikmitr/ ).

Employment will be in the scope of the Swiss Sense Synergy project, whose aim is to develop intelligent location-based networking protocols and crowdsourcing applications, in collaboration with three swiss universities. Further info about the Swiss Sense Synergy project can be found here http://goo.gl/tmQ9NJ

The application deadline is November 21, 2014. Apply here:

http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx?rmpage=job&rmjob$38

For a speedy process, submit recommendation letters with your applications rather than separately.