NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Area of Signal Processing and Machine Learning

Location
Singapore
Posted
28 Jul 2022
End of advertisement period
25 Aug 2022
Ref
9802044
Contract Type
Fixed Term
Hours
Full Time

Job Description

We are looking for a candidate to work on topics in signal processing, information theory, and machine learning.

Some sample topics include:

  • Shannon Theory;
  • Multi-Armed Bandits;
  • Matrix Factorization and Dictionary Learning; 
  • Graphical Models

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 after the postdoctoral stint.

For more information about Vincent Tan’s research interests, please visit https://vyftan.github.io/.

Qualifications

  • Possess a PhD in electrical engineering, computer science or applied mathematics. 
  • Have strong publication record in Information Theory, Signal Processing, or Machine Learning.
  • At least 4 years of relevant experience. 
  • Salary will commensurate with the candidate abilities, potential, and track record.
  • Open to fixed term contract

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 16631

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