ML & Digital Twin Research Associate (Chemical Eng)

Worcester Polytechnic Institute; Worcester; On-site; GBP 42,000 - 49,000; Full time

Benefits offered by this job

Retirement match

Wellness perks

Tuition assistance

Job summary

Worcester Polytechnic Institute (WPI) seeks a Postdoctoral Research Associate to advance machine learning and agentic AI for chemical and environmental engineering. You will collaborate with chemical engineers to build hybrid physics- and data-driven models, digital twins and autonomous workflows for complex reaction and process systems.

The role emphasizes developing regression and surrogate models, uncertainty quantification and integration with process simulators, with a competitive salary

Qualifications

• Ph.D. in chemical engineering, engineering, applied mathematics, data science, computer science, operations research or closely related field.
• Demonstrated experience applying machine learning to physical, engineering, or scientific systems.
• Strong proficiency in Python and modern ML frameworks.

Responsibilities

• Develop machine learning and agentic AI methods for chemical and environmental engineering applications.
• Create hybrid physics- and data-driven models, digital twins and autonomous workflows for complex reaction and process systems.
• Collaborate with chemical engineers to advance modeling, simulation and optimization capabilities.

Skills

Python

ML frameworks

Regression/Surrogate models

Uncertainty quantification

Education

Ph.D. in Chemical Engineering or closely related field

Tools

Aspen Plus

gPROMS

COMSOL

Cantera

Job description

Worcester Polytechnic Institute (WPI) seeks a Postdoctoral Research Associate to advance machine learning and agentic AI for chemical and environmental engineering. You will collaborate with chemical engineers to build hybrid physics- and data-driven models, digital twins and autonomous workflows for complex reaction and process systems.

The role emphasizes developing regression and surrogate models, uncertainty quantification and integration with process simulators, with a competitive salary