Share this Job

PhD Students Seeking Optimization Scientist Internship Opportunities

Location: 

Houston, TX, US

Company:  ExxonMobil

Job Role Summary

Join ExxonMobil as a mathematical optimization scientist intern/co-op with background in industry engineering, chemical engineering, applied mathematics or other engineer disciplines with optimization skills. Become part of an interdisciplinary team to develop, deploy and sustain solutions for the upstream, downstream or chemical businesses. You 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

  • Work under the guidance of mentor to design and develop complex simulation and optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions.
  • Apply theories of mathematical optimization, including linear programming, combinatorial optimization, integer programming, network flows and algorithms to design optimal or near optimal solution methodologies.
  • Provide technical support and enhancements to affiliates worldwide for deployed research applications.
  • Summarize results and develop technical reports and presentations.

Job Requirements

  • Ph.D candidate 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.


Nearest Major Market: Houston

Job Segment: Scientific, Engineer, Computer Science, Java, Engineering, Technology, Research

Apply now »