Senior Research Scientist, Combinatorial Optimization
This role seeks candidates with a strong academic background and applied experience in designing, developing and implementing combinatorial optimization methods. The successful candidate will be involved in the implementation of software solutions that realize the benefits of optimization research in practical applications.
About this Opportunity
We are looking for an exceptional researcher to join our team and contribute to the development of innovative technology solutions. As a Senior Research Scientist, you will be responsible for designing and implementing combinatorial optimization techniques, like constraint programming, propagation algorithms, and search algorithms.
Key Responsibilities
* Develop and implement combinatorial optimization techniques
* Design and apply constraint programming optimization methods to industrial applications
* Improve software engineering practices for high-quality software
Requirements
* A PhD in Computer Science, Applied Mathematics, or Artificial Intelligence with a focus on one of the following areas: constraint reasoning, planning and scheduling, search algorithms, or in mathematics with a focus on mathematical optimization
* Excellent knowledge of automated reasoning approaches of artificial intelligence, search techniques, constraint programming, SAT, integer programming, and metaheuristics
* Excellent computer programming skills in Python, C, and C++
Benefits
This is a unique opportunity to work with a talented team of researchers and developers. As a Senior Research Scientist, you will have the chance to make a significant impact on the development of innovative technology solutions. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.