Research Fellow (Computer Science/Engineering/Mathematics)
Core
Conduct research in computer-aided design, geometric modeling, deep learning, and LLMs to develop algorithms and prototype tools for 3D content generation and shape analysis.
Role type
Research Fellow (Computer Science/Engineering/Mathematics)
Builds
Algorithms and prototype tools for 3D content generation, shape analysis, CAD models, point clouds, meshes, neural implicit representations, and Gaussian splatting.
Domain
Computer Science, Engineering, Mathematics, Computer-Aided Design, 3D Graphics, Machine Learning, Deep Learning, AI, LLMs
Deliverable
production ML models | research
Required skills
PhD in Computer Science, Engineering, Mathematics, or related disciplines; research experience in computer-aided design, 3D graphics, machine learning, deep learning, AI, LLMs; strong programming skills in C/C++ or Python; publication record
Preferred skills
None stated
Technologies
C/C++, Python
Responsibilities
Undertake research at CCDS, NTU; investigate new theory, models, and algorithms; develop and implement algorithms and prototype tools; advise students and junior research staffs; contribute to technical community via conference and journal papers, TDs, patents, and software tools
Seniority
Junior to Mid-level Researcher