Research Associate

Posted 3 Days Ago
Be an Early Applicant
Worcester, MA, USA
In-Office
55K-65K Annually
Entry level
Edtech • Professional Services
The Role
Develop machine learning and agentic AI methods for chemical and environmental engineering applications. Build hybrid physics- and data-driven models, digital twins, autonomous workflows, and predictive, optimization, regression, surrogate, and uncertainty quantification models for reaction and process systems. Collaborate with chemical engineers and conduct research involving scientific machine learning, process simulation, mechanistic modeling, and AI-enabled engineering workflows.
Summary Generated by Built In

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.

Skills Required

  • 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
  • Experience developing digital twins for engineering systems
  • Experience integrating machine learning with mechanistic or first-principles models
  • Experience with scientific machine learning, physics-informed machine learning, Bayesian methods, or uncertainty quantification
  • Experience with Aspen Plus, gPROMS, COMSOL, Cantera, or related process simulation software
  • Experience applying large language models or agentic AI systems to scientific and engineering workflows
  • Familiarity with techno-economic analysis, life-cycle assessment, process optimization, or reaction engineering
  • Research experience in process systems engineering, process modeling and simulation, reaction engineering, scientific machine learning, or digital twin development
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The Company
HQ: Worcester, MA
Year Founded: 1865

What We Do

Worcester Polytechnic Institute (WPI) is a university that offers undergraduate and graduate degree programs with a focus on STEM, business, and global engagement through project-based learning.

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