Research Fellow (Computer Science)

14 Sep 2022
End of advertisement period
14 Oct 2022
Contract Type
Full Time

Job Description

Candidate will be required to work towards –

  1. Designing and implementing novel machine learning algorithms to understand human mobility and its implications and predictions from datasets such as GPS trajectories, road maps, environmental events (e.g., air quality) and more;
  2. Implementing novel deep learning architectures and mechanisms for human mobility applications;
  3. User interface design and implementation for web prototype and demonstration apps, and
  4. Executing experiments with datasets consisting of trajectories, air quality data, etc.


  1. A Ph.D. degree in computer science, computer engineering, data science, or related area with a strong background in data analytics using machine and deep learning.
  2. Technical proficiency with developing integrated software systems using different software components (including TensorFlow, PyTorch, CUDA, databases, and UI).
  3. Candidate must be able to assist in writing research publications in reputed International Journals and Conferences in the relevant fields.
  4. Candidate should have a positive attitude, be able to work in a tema and should be willing to assist on different projects.

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: School of Computing
Department : Department of Computer Science
Employee Referral Eligible: No
Job requisition ID : 17291

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