Research Associate

Worcester Polytechnic Institute

Worcester, United StatesOn-siteFull time
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Pay
$55K to $65K
a year
Location
Worcester, United States
Work style
On-site
Job type
Full time
Posted
Oct 9
11 days ago
Career path

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About the company

Worcester Polytechnic Institute

Higher education · 1,001 to 5,000 employees

Worcester Polytechnic Institute on LinkedIn

What you'll do

  • Develop machine learning and agentic AI methods for chemical and environmental engineering applications.
  • Work with chemical engineers on hybrid physics- and data-driven models, digital twins, and autonomous workflows for reaction and process systems.

What you need

  • Requires a Ph.D. in a listed or closely related field, demonstrated experience applying machine learning to physical, engineering, or scientific systems, proficiency in Python and modern machine learning frameworks, relevant modeling experience, and a publication record.
  • Education: a postgraduate degree

Key skills

machine learningPythonmodern machine learning frameworksregressionsurrogateoptimizationuncertainty quantificationdigital twinsphysics-informed MLBayesian methodsAspen PlusgPROMSCOMSOLCanteraagentic AI systems

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Perks

  • robust retirement match
  • wellness perks
  • tuition assistance

See full description on company page, apply now

Read the full posting here
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.

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