ExxonMobil's Corporate Strategic Research 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 Applied Mathematics,
Computer Science, Statistics, Operations Research, Electrical Engineering
or any 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 www.exxonmobil.com/ex and apply to Data
Analytics and Optimization.
ExxonMobil is an Equal Opportunity Employer