Post-doctoral position in machine learning and signal processing

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Post-doctoral position in machine learning and signal processing

National University of Singapore
Country of Position: 
Contact Name: 
Jonathan Scarlett
Subject Area: 
Signal Processing Theory and Methods
Machine Learning for Signal Processing
Start Date: 
November 01, 2018
Expiration Date: 
November 01, 2019
Position Description: 

The Department of Computer Science at the National University of Singapore is seeking a postdoctoral fellow to work with Dr. Jonathan Scarlett.

The postdoctoral fellow will work on problems at the intersection of machine learning, statistical signal processing, information theory, and their intersection, with topics potentially including the following:
- Algorithms and theory for high-dimensional inference and learning (e.g., graph learning, structured estimation)
- Sequential decision-making algorithms under uncertainty (e.g., black-box optimization, bandits, ranking)
- Information-theoretic limits for problems in statistical inference, learning, and optimization
- Machine learning methods applied to communication problems
Further information on Jonathan Scarlett's research interests can be found at

The position is expected to last for at least 1 to 2 years. The candidate should have a PhD in a relevant area such as machine learning, statistical signal processing,  information theory, or theoretical computer science, and a strong publication record. 

The salary will be very competitive, and commensurate with the candidate's abilities and track record. 

Applicants should submit a detailed CV and a short statement of research interests to Jonathan at Shortlisted applicants will later be asked to arrange for at least two reference letters to be sent to the same address

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