Statistical Modeling and Optimization

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Job Description:
ExxonMobil's Corporate Strategic Research Laboratory has an immediate opening for a full-time staff position in statistical modeling and mathematical optimization within our Complex Systems Science Section. The laboratory is located 50 miles from New York City in scenic western New Jersey.

We are looking for creative and resourceful individuals to join our research team to develop pattern recognition, machine learning and signal processing algorithms to solve a multitude of challenging problems in the areas of large scale data mining, multivariate spatio-temporal data analysis, and modeling and optimization of uncertain systems. The successful candidate will join a dynamic group of scientists performing breakthrough research for all sectors of the corporation, developing new approaches to solve our most challenging problems.

The candidate should have a Ph.D. degree in Chemical Engineering, Mechanical Engineering, Applied Mathematics, Physical Science, Computer Science or other related scientific discipline, with a strong understanding of machine learning, statistics and optimization. Knowledge and experience in high performance computing is important. Experience in mathematical modeling is highly desirable. The candidate should also have strong communication skills with an ability to interact with a variety of researchers and business partners in different disciplines. The candidate should also have a desire and ability to grow into new science areas and learn new skills.

ExxonMobil offers an excellent working environment and a competitive compensation and benefits package. Please submit your cover letter and resume to our website.

ExxonMobil is an Equal Opportunity Employer