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Full Time Position in Machine Learning and Optimization

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  and  apply  to  Data
Analytics and Optimization.

ExxonMobil is an Equal Opportunity Employer

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