Process Systems Engineering Intern

Aspen Technology

Houston, Texas, United States
Base: $40.00 - $50.00ph; bonus/equity: not specifi...
Hybrid
Process systems engineering phd student
Operations research phd student
Industrial engineering phd student
This internship focuses on pioneering hybrid machine learning and mathematical optimization approaches to address Crude Scheduling Optimization (CSO) challenges at industrial scale

Job Summary

  • This internship focuses on pioneering hybrid machine learning and mathematical optimization approaches to address Crude Scheduling Optimization (CSO) challenges at industrial scale.
  • You will work closely with senior researchers and developers to advance a novel framework that blends fast linear programming (LP) approximations with sequential optimization methods.
  • The intern will have the rare opportunity to contribute to both cutting‑edge research and real-world industrial applications used by global refineries.

Matching Summary

This internship focuses on pioneering hybrid machine learning and mathematical optimization approaches to address Crude Scheduling Optimization (CSO) challenges at industrial scale.

Salary

Base: $40.00 - $50.00/hour; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Process Systems Engineering PhD student
  • Operations Research PhD student
  • Industrial Engineering PhD student
  • Formulate and solve optimization problems
  • Sequential optimization approaches
  • Hybrid machine learning optimization

Nice-to-have

  • Bi-level optimization experience
  • Graph theory understanding
  • Network flow optimization understanding
  • Object-oriented programming experience
  • Industrial process models familiarity
  • Real-world refinery scheduling context

Key Requirements

  • Current PhD student
  • Legally authorized to work in the United States
  • No sponsorship required

Work Rights

Must be legally authorized to work in the US

Tailored Resume

Cover Letter