Data Analytics and Optimization, ExxonMobil Research and Engineering Company

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Data Analytics and Optimization, ExxonMobil Research and Engineering Company

ExxonMobil’s Corporate Strategic Research Laboratory has an immediate opening for a full-time staff position in the areas of data analytics, machine learning, and mathematical optimization within our Data Analytics and Optimization 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 machine learning, statistical signal processing and optimization algorithms to solve a multitude of challenging problems involving real-world physics, chemical and engineering data sets and models. Examples include large-scale data analytics, inference with complex models and missing data, multivariate spatio-temporal 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, Computer Science, Electrical Engineering, or other related scientific discipline, with a strong understanding of machine learning, signal processing, statistics and optimization. Knowledge and experience in high performance computing and mathematical modeling is highly desirable. The candidate is expected to 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 technical 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 at and apply to Data Analytics and Optimization.

To Apply, please visit the post at IEEE job site.

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