Summary
The Control and Learning for Autonomous Robots (CLeAR) research group within the Robotics Research Centre (RRC) at the School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU), Singapore, invites applications for two postdoctoral researcher positions focused on advancing technologies in Physics-Informed Neural Networks (PINNs) and Data-enabled Predictive Controllers.
Two Postdoctoral Researcher Positions at Nanyang Technological University, Singapore
Designation
Postdoctoral Researcher
Research Area
- Physics-Informed Neural Networks (PINNs)
- Data-enabled Predictive Controllers
Location
Nanyang Technological University, Singapore
Eligibility/Qualification
| Criteria | Details |
|---|---|
| Educational Qualification | PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Physics, or related field |
| Essential Skills | Strong background in control theory, optimization-based algorithms, and/or machine learning; proficiency in Python and/or C/C++; excellent communication skills in English |
| Additional Skills (Highly Desirable) | Experience in academic writing (conference/journal publications), programming experience with physical robot platforms (e.g., ROS), hands-on experience in autonomous robots, proficiency in Linux programming, and using GitHub |
Job Description
The CLeAR research group aims to develop innovative control and learning algorithms to design novel autonomous robots. Successful candidates will be involved in research that contributes to creating real-world systems that operate safely and effectively. Key responsibilities include:
- Engaging in independent and collaborative research.
- Publishing research findings in top-tier journals.
- Presenting at leading international conferences.
- Developing and implementing algorithms for robotic control and learning.
How to Apply
Interested candidates should submit the following as a single PDF file:
- CV
- Transcripts
- Copies of three key papers
Please send applications to the provided email address: apnafbg108@gmail.com.
Last Date for Application
Open Now
This job post reflects the ongoing commitment of NTU to foster a collaborative and supportive research environment, providing access to state-of-the-art facilities and resources for researchers in the field.
