Deskripsi Pekerjaan
Join Nanyang Technological University's pioneering research team as a Research Fellow in Condensed Matter Physics. This exciting role offers the opportunity to explore the frontiers of quantum materials while developing innovative AI-driven screening tools to accelerate material discovery. You'll collaborate with leading physicists and computational scientists to investigate novel quantum phenomena, design experiments, and analyze complex datasets using advanced machine learning techniques.
Positioned within NTU's world-class research ecosystem, you'll contribute to breakthroughs in quantum materials science that could revolutionize electronics, energy storage, and computing technologies. The role provides access to cutting-edge laboratories and computational resources, allowing you to translate theoretical concepts into practical applications. If you're passionate about pushing the boundaries of condensed matter physics and leveraging AI for scientific advancement, this position offers an unparalleled platform for impact.
Tanggung Jawab
- Conduct advanced research in condensed matter physics focusing on quantum materials
- Develop and implement AI/ML algorithms for high-throughput material screening
- Analyze experimental and computational data to identify novel material properties
- Collaborate with interdisciplinary teams including physicists, chemists, and data scientists
- Design and execute experimental protocols for material synthesis and characterization
- Prepare research manuscripts for high-impact journals and conference presentations
- Secure external funding through grant proposals and research partnerships
Kualifikasi
- PhD in Physics, Materials Science, or related quantitative field
- Strong background in condensed matter physics and quantum materials
- Expertise in machine learning/data analysis (Python/R preferred)
- Experience with computational materials simulation software
- Proven track record of peer-reviewed publications
- Excellent written and verbal communication skills
- Demonstrated ability to work independently and in collaborative environments