Research Associate

Worcester Polytech; Worcester (MA); Ibrido; USD 55.000 - 65.000; Tempo pieno

Descrizione del lavoro

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

The role emphasizes advancing ML applications in engineering, building digital twins, and integrating AI with

Competenze

• PhD 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 machine learning frameworks.
• Experience developing regression, surrogate, optimization, or uncertainty quantification models for engineering applications.
• Publication record in ML, scientific computing, process systems engineering, or a related field.

Mansioni

• Collaborate with chemical engineers to develop hybrid physics- and data-driven models.
• Develop digital twins and autonomous workflows for complex reaction and process systems.
• Publish findings and contribute to ongoing research in process systems engineering.

Conoscenze

Python

Machine learning frameworks

Regression models

Optimization/Uncertainty quantif.

Publication track record

LLMs / agentic AI

Formazione

PhD in Chemical Engineering

Strumenti

Aspen Plus

gPROMS

COMSOL

Cantera

Descrizione del lavoro

## Research AssociateApply: Flexible: Worcester: Full time: Posted 2 Days Ago: R0003801**JOB TITLE**Research Associate**LOCATION**Worcester**DEPARTMENT NAME**Chemical Engineering - NFR JM**DIVISION NAME**Worcester Polytechnic Institute - WPI**JOB DESCRIPTION SUMMARY**We seek a highly motivated Postdoctoral Research Associate to develop machine learning and agentic AI methods for chemical and environmental engineering applications. The successful candidate will work closely with chemical engineers to develop hybrid physics- and data-driven models, digital twins, and autonomous workflows for complex reaction and process systems.**JOB DESCRIPTION****Required Qualifications** * Ph.D. in Chemical Engineering, Engineering, Applied Mathematics, Data Science, Computer Science, Operations Research, or a closely related field.* Demonstrated experience applying machine learning to physical, engineering, or scientific systems.* Strong proficiency in Python and modern machine learning frameworks.* Experience developing regression, surrogate, optimization, or uncertainty quantification models for engineering applications.* Publication record in machine learning, scientific computing, process systems engineering, or a related field. **Preferred Qualifications** * Experience developing digital twins for engineering systems.* Experience integrating machine learning with mechanistic or first-principles models.* Experience with scientific machine learning, physics-informed ML, Bayesian methods, or uncertainty quantification.* Experience with Aspen Plus, gPROMS, COMSOL, Cantera, or related process simulation software.* Experience applying LLMs or agentic AI systems to scientific and engineering workflows.* Familiarity with TEA, LCA, process optimization, or reaction engineering.* Preference for candidates with research experience in process systems engineering, process modeling and simulation, reaction engineering, scientific machine learning, or digital twin development. **To Apply:**Please attach a CV, cover letter and contact information for three references. **Compensation:**Salary: $55,000 to $65,000 per year. Salary is based on related experience, expertise, and internal equity. WPI’s benefits package includes a robust retirement match, wellness perks, tuition assistance and more! **FLSA STATUS**United States of America (Exempt)**WPI is an Equal Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. It seeks individuals from all backgrounds and experiences who will contribute to a culture of creativity, collaboration, inclusion, problem solving, innovation, high performance, and change making. It is committed to maintaining a campus environment free of harassment and discrimination.**