We are looking for a creative and resourceful individual to join our research and development team to solve challenging problems in the area of large-scale mixed-integer programming. The successful candidate will join a dynamic group of scientists performing breakthrough research across all sectors of the corporation, developing new approaches to solve our most challenging optimization problems.
The applicant should have a Ph.D. degree in Applied Mathematics, Industrial Engineering, Chemical Engineering, Operations Research or other related scientific discipline, with theoretical and practical experience in mathematical programming modeling and algorithm development. Expertise in large-scale mixed-integer programming is required. Knowledge and background in methods for mixed integer nonlinear programming, global optimization or optimization under uncertainty are desirable. Candidates with strong computing skills are preferred. The applicant must have excellent communication skills and a demonstrable ease of interaction with researchers and business partners of varying backgrounds. The candidate should be willing and able to learn new skills and grow into new science areas.
ExxonMobil offers an excellent working environment and a competitive compensation and benefits package. Please submit your cover letter and resume to our website at www.exxonmobil.com/ex and apply to Mathematical Optimization.
ExxonMobil is an Equal Opportunity Employer
Ahmet B. Keha, Ph.D.
Corporate Strategic Research
ExxonMobil Research & Engineering
1545 Route 22 East
Annandale, NJ 08801
ahmet.b.keha@exxonmobil.com
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