Deskripsi Pekerjaan
Nanyang Technological University (NTU) invites applications for a Research Fellow position focused on pioneering research at the intersection of Artificial Intelligence, Machine Learning, and Engineering Mechanics. We are seeking a dynamic individual to drive innovation in fluid-structure interaction (FSI) modeling. You will work within a vibrant research group, leveraging advanced computational methods to simulate complex physical phenomena. This is an excellent opportunity to contribute to groundbreaking academic research and develop scalable solutions for industry challenges. Your work will directly support the university's mission to advance knowledge and technology.
Tanggung Jawab
- Lead research projects utilizing deep learning and data-driven approaches for Fluid-Structure Interaction (FSI) analysis.
- Develop and optimize computational models to accurately simulate fluid dynamics and structural responses under varying conditions.
- Collaborate closely with a multidisciplinary team of engineers, data scientists, and faculty members.
- Leverage high-performance computing clusters to process large datasets and validate simulation results.
- Prepare high-quality technical reports, academic manuscripts, and patents for publication in top-tier journals.
- Mentor junior researchers and graduate students on research methodologies and programming best practices.
- Present research findings at international conferences and workshops.
Kualifikasi
- Earned a PhD degree in Computer Science, Mechanical Engineering, Electrical Engineering, or Aerospace Engineering.
- Demonstrated expertise in numerical methods, computational fluid dynamics (CFD), or structural analysis.
- Proficiency in programming languages such as Python, C++, or MATLAB.
- Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) applied to physical simulations.
- Excellent written and verbal communication skills in English.
- A strong publication record in relevant scientific fields.