677 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at Nanyang Technological University in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Materials Science
- Medical Sciences
- Business
- Education
- Biology
- Science
- Mathematics
- Chemistry
- Environment
- Arts and Literature
- Electrical Engineering
- Psychology
- Social Sciences
- Earth Sciences
- Linguistics
- Sports and Recreation
- Philosophy
- Physics
- Humanities
- Statistics
- 13 more »
- « less
-
industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
-
Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The School of Materials Science & Engineering is seeking to hire a Senior
-
function. Over the years, SBS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/sbs
-
Application Procedure : Please login to the following webpage to submit your application: https://ntu.wd3.myworkdayjobs.com/Careers Closing date for applications: 31 May 2026. The successful candidate is
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian The Research Associate will lead a project on Waste-to-Resource
-
Established in 1981, the School of Electrical and Electronic Engineering (EEE) https://www.ntu.edu.sg/eee is one of the founding Schools of the Nanyang Technological University. Built on a culture
-
Procedure : Please login to the following webpage to submit your application : https://ntu.wd3.myworkdayjobs.com/Careers Closing date for applications: 31 May 2026. The successful candidate is expected
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
-
campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University aims to harness the power of digital technology and tech-enabled solutions to support better learning
-
of scalable machine learning systems using convex/nonconvex optimization and federated learning methods. Develop software prototypes for AI-for-Science systems tailored to scientific discovery and data