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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

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We are recruiting one doctoral researcher (3 years) to the AEGIS network

AEGIS — Adaptive Grid-Interactive Edge Datacenter Fleets — is a European research and training network. It is funded by the EU through a Marie Skłodowska-Curie Doctoral Network, runs from 2026 to 2030, and trains 15 Doctoral Candidates (PhD students). The DN targets developing software-defined technologies that turn edge data centers from passive electrical loads into active, carbon-efficient and grid-interactive resources. The project has three layers:

A programmable infrastructure layer gives safe, runtime-verified control of a site’s power electronics, cooling, and AI hardware.An intelligence layer reads real-time grid signals and turns a request such as “reduce power by 20%” into the detailed actions that hardware and facilities must take, without breaking service.A fleet orchestration layer coordinates many sites, even when they have different owners, using trusted and privacy-preserving methods, so the whole fleet can act as one Virtual Power

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Professional Practice Assistant Professor Focused on Teaching and Student Success in Mechanical and Aerospace Engineering

The Ohio State University

Columbus, OH

Position Overview

This teaching-focused position will be responsible for delivering high-quality instruction across core areas of mechanical engineering, with an emphasis on design and manufacturing including capstone design courses, as well as at least one of thermal sciences, mechanics, or control systems. The successful candidate will contribute to curriculum development, foster experiential learning, and support student success in alignment with the shared values of Ohio State.

Performance Objectives

Teach undergraduate courses in engineering design, including capstone design courses. In addition, teaching courses in one or more core areas of mechanical engineering

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