Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates

ExxonMobil is seeking a Postdoctoral Researcher to integrate mathematical optimization and machine learning through surrogate modeling for large-scale industrial applications. The role involves developing specialized algorithms that balance model fidelity with optimization tractability to solve complex nonconvex and bilinear formulations. Candidates will apply these methods to high-impact business problems across upstream, downstream, and low-carbon solutions while communicating results through technical reports and publications.