
Mathematics and Optimization Specialist
2 weeks ago
Mathematical Modeling and Optimization Expert Job Summary
We are seeking a highly motivated postdoctoral researcher with a Ph.D. degree in Mathematics, Operations Research, or related fields to join our team.
The successful candidate will be involved in applying cutting-edge methodologies to design novel mixed-integer programming (MIP) algorithms, derive theoretical results, and implement numerical simulations under the joint supervision of Dr. Guanyi Wang and Dr. Hanzhang Qin.
Research Directions:
- Reformulation & Relaxation
- Approaches to generate efficient/effective reformulations and relaxations for large-scale decision-making problems under uncertainty, focusing on Large Language Model (LLM) based methodologies.
- Computation
- Learning-based preconditioning, heuristic, branching, and column/row generation methods for computationally hard Combinatorics Optimization (CO) problems.
- Learning with Structures
- Approximation algorithms for learning with geometric structures in high dimensions and their applications in combinatorics, signal processing, and data analytics.
Key Requirements:
- A Ph.D. degree in Mathematics, Operations Research, Computer Science, or related fields.
- Solid research backgrounds in deep learning with applications in MIP, CO, or related fields.
Benefits
The successful candidate will have access to state-of-the-art computational resources and a collaborative research environment. Opportunities for professional growth and development are also available.
About the Role
This is an exciting opportunity for a talented researcher to contribute to cutting-edge projects in mathematical modeling and optimization. If you are passionate about advancing the field and collaborating with leading experts, we encourage you to apply.
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