Job Location: India
Roles and Responsibilities
Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals.
– At least 3 to 5 years of experience in solving complicated optimization and machine learning problems for transportation networks or analogous disciplines developing a strategy for large-scale networks.
– Experience designing and implementing transportation optimization models with focus on volume and route planning and re-planning; labor and facilities planning.
Excellent communication skills, both written and oral with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.
– Excellent writing skills for presenting business cases and to document the models and analysis and present the results/conclusions in order to influence important decisions.
– A working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi,CBC,GLPK).
– A working knowledge of exact, approximation algorithms, and heuristic methods for solving difficult optimization problems like vehicle routing and network design problems.
Desired Candidate Profile
Technical Experience:
Experience in modelling and solving MILP,MINLP
experience in any one of the following python, java, Julia
Domain/Process Knowledge:
Shipping
Qualifications and Education Requirements
Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals.
Perks and Benefits
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