ExxonMobil's Corporate Strategic Research has an immediate opening for a 
full-time research position in the area of mathematical optimization, data 
analysis and optimization modeling within our Data Analytics and 
Optimization Section.

CSR’s mission is unique within the ExxonMobil Corporation. We are tasked 
with creating science-based opportunity and competitive advantage for 
ExxonMobil by conducting high-risk, high-reward research aligned with the 
Corporation’s business objectives. The laboratory is located 50 miles from 
New York City in scenic western New Jersey. 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.

We are looking for a talented individual who can conduct fundamental 
research in optimization modeling, data analysis and algorithms and apply 
them to address a multitude of challenging decisions in upstream, refining 
and chemicals sectors. Research will include: developing novel methods and 
advanced solution techniques for refinery/chemicals planning, scheduling 
and process control; large-scale logistics/operations optimization; 
product/process discovery and design; and computational methods for 
physicochemical systems. 

The candidate should have a Ph.D. degree in Applied Mathematics, Chemical 
Engineering, Industrial Engineering, Mechanical Engineering, Operations 
Research or any other related scientific discipline, with a strong 
background in optimization modeling, data analysis, and algorithms for 
nonlinear, non-convex, and discrete optimization. Experience in high 
performance and parallel computing as well as related numerical techniques 
(specifically for differential equations) is highly desirable. Knowledge 
of optimization models in the oil and gas industry is a plus. 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 have a keen desire and 
aptitude 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.