NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Intersection of Information Theory, Stats Signal Processing and Machine Learning

7 days left

Location
Singapore
Posted
Tuesday, 20 April 2021
End of advertisement period
Thursday, 20 May 2021
Ref
3781144
Contract Type
Fixed Term
Hours
Full Time

Job Description

The Department of Electrical and Computer Engineering (ECE) at the National University of Singapore (NUS) is offering positions for postdoctoral fellows who will work closely with Dr. Vincent Tan at the intersection of information theory, statistical signal processing, and machine learning. 

Some sample topics include:

  • Fundamental performance limits (and algorithms) for dictionary learning (e.g., matrix factorization), ranking, and deep learning architectures;  
  • Learning in the presence of privacy constraints;
  • Learning in the large alphabet regime;
  • Learning of graphical models and other statistical models.

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

Applicants can also submit a detailed CV to Vincent Tan at vtan@nus.edu.sg. If shortlisted, applicants should also arrange for at least two to three letters of reference to be sent to the same address.

Qualifications

  • Possess a recognised PhD degree in Electrical Engineering / Computer Science / Applied Mathematics
  • Track record of strong publication in top journals and conferences in the area of information theory, signal processing, or machine learning
  • Salary would commensurate with the candidate’s experience
  • Excellent written and spoken communication especially in writing and presentation skills.
  • Possess excellent communication and interpersonal skills to work with various stakeholders.
  • Meticulous, able to work well under pressure and commitment to meet tight deadlines
  • Open to fixed-term contract.

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No

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