Postdoc RF Position in Probabilistic Machine Learning and Gaussian Modeling National University of Singapore, School of Computing
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POSTDOC RF POSITION IN PROBABILISTIC MACHINE LEARNING AND GAUSSIAN MODELING AT NATIONAL UNIVERSITY OF SINGAPORE
DESCRIPTION:
The postdoc fellow will be based in the School of Computing of the National University of Singapore (NUS) and have the opportunity to co-advise and collaborate with PhD and undergraduate students in our research group (for more information on our research grou and interests, visit http://www.comp.nus.edu.sg/~lowkh/research.html.
This postdoctoral fellow position is financially supported by the Singapore's MInistry of Education Academic Research Fund Tier 2 competitive grant under the project theme: "Scaling up Gaussian Process Predictive Model for Big Data" for the duration of July 2017 to July 2020. Salary is competitive, with possible support to travel to conferences for dissemination of research results.
The successful candidate should have a Ph.D. in machine learning, computer science, 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 (higlighting 3 selected research papers and attaching copies of them to your application), a concise description of research interests and future research plans, and academic transcripts to:
Dr Bryan Low E-mail: lowkh@comp.nus.edu.sg Website: http://www.comp.nus.edu.sg/~lowkh/research.html
We will begin reviewing applications for the position immediately. For those of you who are attending the ICML 2017 conference, I will be attending as well; we can arrange a time to meet up for a discussion about this postdoc position or an interview.
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