Postdoctoral positions in Information Theory and Machine Learning at the National University of Singapore
The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore is offering positions for postdoctoral fellows who will work at the intersection of information theory and machine learning.

The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore is offering positions for postdoctoral fellows who will work at the intersection of information theory and machine learning. Some sample topics include: Learning in the large alphabet regime, and learning of graphical models and other statistical models using information-theoretic ideas. Working in traditional Shannon information theory is also strongly encouraged. Some topics of interest include: strong converse techniques, finite blocklength analysis, error exponent analysis, and multi-user information theory.


Each position is expected to last for 2 years. The candidate is expected to have a PhD in electrical engineering, computer science or mathematics and a strong publication record in information theory, signal processing or machine learning. The candidate will work closely with Dr. Vincent Tan and will use the postdoctoral stint to develop a strong research profile that will enable him/her to find a good faculty position in 2 years. 

For more information about Vincent Tan's research interests, please visit: 
http://www.ece.nus.edu.sg/stfpage/vtan/

Salary will be extremely competitive and will be commensurate with the candidate abilities and track record. 

Applicants should submit a cover letter, a detailed CV and a research statement to Vincent at  [email protected] . Applicants should also arrange for at least two letters of reference to be sent to the same address.