Research Fellow (Physics-Informed Neural Networks (PINNs)

Nanyang Technological University; Singapore; On-site; SGD 65,000 - 90,000; Full time

Job summary

The School of Mechanical & Aerospace Engineering at Nanyang Technological University (NTU) invites applications for a Research Fellow position to advance Physics-informed Neural Networks (PINNs) on quadruped robots. The role emphasizes developing PINNs and validating them experimentally on robotic platforms.

Candidates should hold a PhD in a related field and demonstrate expertise in machine learning, PINNs, and control theory, with strong programming skills in Python and/or C/C++.

Qualifications

• PhD required and strong background in machine learning, PINNs and control theory.
• Excellent verbal and written communication skills.
• Proficiency in Python and/or C/C++.

Responsibilities

• Lead and contribute to experiments, simulations, or theoretical work aligned with project goals.
• Lead and co-author peer-reviewed journal articles, conference papers, or technical reports.
• Plan timelines, manage resources, and report progress to the Principal Investigator.
• Build your own research profile and prepare for the next career stage.

Skills

Python

C/C++

Machine Learning

PINNs

Robotics

Education

PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Maths, Physics, or related field

Job description

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research.

We are looking for a Research fellow to work on the development of Physics-informed neural networks (PINNs) on quadruped robots. The role will focus on the development of PINNS and their experimental validation on quadruped robots.

Key Responsibilities:

• Lead and contribute to experiments, simulations, or theoretical work aligned with the project’s goals.
• Lead and co-author peer-reviewed journal articles, conference papers, or technical reports.
• Plan timelines, manage resources, and report progress to the Principal Investigator.
• Build your own research profile and prepare for the next career stage.

Job Requirements:

• A PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Maths, Physics, or any related field
• Strong background in machine learning, PINNs and control theory
• Excellent verbal and written communication skills
• Proficiency in programming languages in Python and/or C/C++.
• A curious and ambitious mindset for research
• A strong work ethic, effective time management skills, and a capability to work independently and collaboratively

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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