Deskripsi Pekerjaan
Join Nanyang Technological University's pioneering research team as a Research Fellow specializing in Fire and Mechanical Engineering. Lead groundbreaking R&D initiatives focused on electric vehicle (EV) and power-assisted bicycle (PAB) battery thermal runaway modeling using the OpenFOAM framework. This role offers an exceptional opportunity to develop cutting-edge computational fluid dynamics (CFD) solutions that enhance battery safety and fire prevention strategies. Collaborate with multidisciplinary experts to translate theoretical models into practical applications that address critical challenges in sustainable energy storage. You'll work in a world-class research environment with access to advanced computational resources and industry partnerships. Your contributions will directly impact the advancement of battery safety standards and contribute to global decarbonization efforts. NTU provides a vibrant ecosystem for innovation, supporting high-impact research that bridges academia and industry applications.
Tanggung Jawab
- Lead development and validation of thermal runaway models for EV and PAB batteries using OpenFOAM framework
- Design and execute computational fluid dynamics simulations for battery fire propagation analysis
- Collaborate with cross-functional teams to integrate research findings into safety protocols
- Author high-impact publications and present research findings at international conferences
- Develop predictive algorithms for early detection of battery thermal failures
- Secure external funding through competitive grant proposals
- Mentor junior researchers and supervise graduate student projects
- Stay current with emerging battery safety technologies and regulatory standards
Kualifikasi
- PhD in Fire Engineering, Mechanical Engineering, or related computational field
- Expertise in OpenFOAM and computational fluid dynamics (CFD) modeling
- Proven research experience in battery thermal runaway or fire safety
- Strong publication record in peer-reviewed journals/conferences
- Proficiency in Python/C++ for algorithm development and data analysis
- Experience with experimental validation of thermal models
- Demonstrated ability to manage complex research projects
- Excellent written and verbal communication skills