Research Fellow, Mathematics

Job Description

The successful candidate will work with Professor Toh Kim Chuan on research topics under a project on Solving large structured convex conic programming with second order sparsity. 

The main responsibilities of the position include: 

• To conduct independent research on the design, analysis and implementation of efficient and robust algorithms for large-scale structured conic programming problems. Advanced knowledge on conic optimization and machine learning, Matlab/Python and C programming languages at PhD level are required. 

Qualifications

• Graduating PhD or recent PhD holder specializing in computational optimization. Skills:  Advanced knowledge on conic optimization theory and algorithms, machine learning, Matlab/Python and C programming languages, at PhD level are required. Experience:  At least 2 years of independent research experience in the design and implementation of efficient algorithms for solving large-scale convex conic optimization problems, and optimization problems arising in machine learning. 

More Information

Location: Kent Ridge Campus
Organization: Science
Department: Mathematics