RSS Feed Source: Academic Keys

JOB TITLE

Research Associate (Software Engineer – AI App Development)

LOCATION

Worcester

DEPARTMENT NAME

Biology & Biotechnology – NFR JM

DIVISION NAME

Worcester Polytechnic Institute – WPI

JOB DESCRIPTION SUMMARY

We are seeking a talented Research Associate in Software Engineer with experience in AI-powered applications, workflow automation, cloud technologies, and full-stack development to join our research team of neuroscientists, clinicians, and data scientists working on clinical decision-making support app development.

The ideal candidate enjoys solving complex technical problems and using modern software and AI technologies to automate processes, build scalable applications, and transform clinical requirements into reliable production systems.

This position is particularly well suited for an engineer who has experience working across multiple areas of the software stack, including Python development, TypeScript/JavaScript applications, cloud infrastructure, databases, data pipelines, and emerging generative AI technologies.

JOB DESCRIPTION

Responsibilities:

Design, develop, test, and maintain production-quality software applications using Python, JavaScript, and TypeScript. Develop AI-enabled

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RSS Feed Source: Academic Keys

JOB TITLE

Adjunct Teaching Faculty | Chemical Engineering

LOCATION

Worcester

DEPARTMENT NAME

Chemical Engineering – JM

DIVISION NAME

Worcester Polytechnic Institute – WPI

JOB DESCRIPTION SUMMARY

Worcester Polytechnic Institute invites applications for the part-time position of Adjunct Teaching Faculty. The Chemical Engineering Department at Worcester Polytechnic Institute is seeking part-time adjunct faculty to teach day and/or evening classes. Part-time faculty positions are created to provide an available applicant pool for the department. Positions will be filled on an as-needed basis. Start dates will vary by course and semester.

JOB DESCRIPTION

An Adjunct Teaching Faculty will teach undergraduate and/or graduate courses with various options for on-campus, off-campus in a corporate setting, and online delivery. All topics in Chemical Engineering are of interest. Applicants should specifically identify which courses in the current chemical engineering curriculum would be the best fit for their expertise.

An ideal applicant will hold an advanced degree in Chemical Engineering or related discipline. Prior

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RSS Feed Source: Academic Keys

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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RSS Feed Source: Academic Keys

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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