Research Fellow (Atomic catalysts and Machine Learning)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University (NTU) Singapore invites applications for a Research Fellow to contribute to data-driven discovery of atomic catalysts. The role focuses on theoretical predictions with DFT and machine learning, coupled with mechanistic insights in renewable energy materials.

The candidate will collaborate across disciplines and support lab operations and grant writing. Strong experience with DFT/ML and a solid publication record are valued, and entry-level candidates are welcome

Qualifications

• PhD in material sciences or applied physics required.
• Experience applying DFT and machine learning to atomic catalysts preferred.
• Strong publication record in renewable energy materials, electrocatalysis, or related fields.
• Entry-level candidates are welcome to apply.
• Demonstrated motivation for multidisciplinary, high-impact research.
• Excellent teamwork and ability to support a dynamic research group.

Responsibilities

• Perform theoretical predictions using DFT and machine learning to understand atomic catalysts.
• Investigate mechanisms using in-situ and operando techniques and theory.
• Coordinate collaboration with researchers to maintain steady progress and support experiments.
• Support project management and lab infrastructure, including procurement and setting up equipment.
• Prepare regular progress reports to PI and contribute to grant proposals.

Skills

DFT

Machine learning

Publication record

Education

PhD in material sciences or applied physics

Job description

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers. Join the laboratory of Fan Hongjin at SPMS. We are seeking a Research Fellow to contribute to a project focused on focused on data-driven discovery of atomic catalysts.

Key Responsibilities

• Theoretical predictions using DFT and machine learning, and mechanistic understanding of atomic catalysts


• Investigation of mechanism by in-situ and/or operando techniques and theoretical calculations


• Coordinate the collaboration with other researchers in this project to maintain steady progress, and provide support to the research group on related experiments


• Provide support to the project management and lab infrastructure, including procurement, setting up battery fabrication line, set up equipment for in-situ and/or operando characterizations, annual and final project reports


• Make regular progress reports to PI


• Write one proposal based on results obtained from this project for external grant

Job Requirements

• A PhD degree in material sciences or applied physics, with focus on renewable energy


• Evidenced experience in DFT and machine learning especially its application in atomic catalysts


• Strong publication record on the topic of renewable energy materials especially electrocatalysis


• Entry level candidates are welcome to apply


• Strong motivation to undertake grand challenges in multidisciplinary subjects


• Excellent team player who is capable and willing to provide supports in a dynamic and interdisciplinary environment

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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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