Postdoc position in probabilistic machine learning for cybersecurity at National University of Singapore

We are hiring a postdoctoral fellow interested in advancing the state of the art in probabilistic machine learning (specifically, Bayesian non-parametric models like the Gaussian process models) with application to cybersecurity (e.g., network security monitoring, privacy-preserving machine learning, adversarial machine learning) for a period of 1 year (starting Jan 2017) with possible extension.
The postdoctoral fellow will be based in the School of Computing of the National University of Singapore (NUS) and have the opportunity to co-advise PhD and undergraduate students in our research group (for more information on our research interests, visit http://www.comp.nus.edu.sg/~lowkh/research.html).
This postdoctoral fellow position is financially supported by the recently established NUS-SingTel Cyber Security Lab (https://news.nus.edu.sg/press-releases/11019-nus-s...); SingTel is the largest telco provider in Singapore.
The successful candidate should have a Ph.D. in computer science, machine learning, statistics or other related disciplines. A good publication record in the premier machine learning and AI conferences and/or journals is preferred. He/she must have a strong proficiency in programming.
If you are interested to apply, please send a short cover letter describing your suitability for the position, detailed CV with publication list, a concise description of research interest interests and future plans, and academic transcripts to:
Dr. Bryan Low
Email: lowkh-AT-comp.nus.edu.sg
Website: http://www.comp.nus.edu.sg/~lowkh/research.html
Prof. Mun Choon Chan
Email: chanmc-AT-comp.nus.edu.sg
Website: http://www.comp.nus.edu.sg/~chanmc
We will begin reviewing applications for the position immediately.