Develop the optimization and computational-geometry algorithms at the core of us: for researchers who love hard, non-convex problems.
Requirements:
The ideal candidate will be
An excellent problem-solver with critical thinking skills.
Highly proficient in Python.
A PhD or MSc in Mathematics, Computer Science, Statistics, Operations Research, Physics or Engineering from a top university.
Familiar with non-convex optimization, with hands-on experience in techniques like simulated annealing, linear programming, etc.
The ideal candidate will be
An excellent problem-solver with critical thinking skills.
Highly proficient in Python.
A PhD or MSc in Mathematics, Computer Science, Statistics, Operations Research, Physics or Engineering from a top university.
Familiar with non-convex optimization, with hands-on experience in techniques like simulated annealing, linear programming, etc.
Advantages
Experience with 2D and 3D computational geometry is a big advantage.
Experience in Machine Learning or other data-mining technologies.
This position is open to all candidates.
