ExxonMobil PhD Students Seeking Mathematical Optimization Scientist Full Time Employment in Houston, Texas
Job Role Summary
ExxonMobil is looking for a mathematical optimization scientist with backgrounds in operations research, management sciences, applied mathematics or engineering. We are looking for dynamic, creative, and resourceful individuals to join our research efforts in broad set of oil & gas areas including both geoscience, engineering and commercial. Successful candidate will work to apply various operations research technologies to support critical business decisions across the entire value chain. The focus on value generation provides the opportunity to have significant impact leveraging ExxonMobil’s strong belief in creating commercial advantage through the use of technology. The company places high emphasis on fundamental scientific skills and the ability to combine technical skills with business understanding to improve profitability.
Job Role Responsibilities
Design and develop complex optimization and simulation models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.
Distill problem definitions and constraints from informal or abstract business requirements and engineering problems; and to deal with ambiguity and competing objectives.
Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, network flows and algorithms to design optimal or near optimal solution methodologies.
Contribute to various stages of optimization model development and deployment
Provide technical support and enhancements to affiliates worldwide for deployed research applications.
Research and propose use of new technologies.
Ph.D. in Engineering, Applied Mathematics, Computer Science, Operations Research, or other related scientific disciplines, combined with strong computational modeling and algorithmic skills.
Strong background (potentially supported by advanced graduate course work or equivalent experience) in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms.
Ability to convey rigorous mathematical concepts and considerations to non-technical audience.
Highly proficient in at least one major programming language (C/C++, C#, Java, Python, etc.) or optimization modeling language (e.g. AMPL, GAMS, AIMMS, OPL, Mosel, etc.)
Experience using major optimization solvers and algorithms is an advantage (e.g. CPLEX, Gurobi, Xpress, SCIP, KNITRO, IPOPT, CONOPT, GRG, SQP)
Demonstrated communication skills and software development skills in a collaborative team environment.
Have a desire to explore new science areas.
Alternate Location: United States : Baytown, Texas || United States : Clinton, New Jersey || United States : Houston, Texas
ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.