Research Assistant 2

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The Research Assistant 2 will be working in the Department of Mechanical Engineering with Professor Zhao on Identifying Pain Points with Data Mining and NLP.

Responsibilities:

• Identifying Pain Points with Data Mining and NLP.

• Developing surrogate LCA models to fill in data gaps for components lacking full environmental data.

• Clustering for Component Classification using unsupervised ML techniques, such as k-means clustering.

• Implementing ML-driven dynamic LCA models that simulate multiple lifecycle scenarios.

Education and Experience:

• MSc in Mechanical Engineering or related area

• Experience in applying data mining techniques to the extensive Bill of Materials databas

• Experience in ML-Powered Surrogate LCA Models.

• Familiar with Dynamic LCA and Sensitivity Analysis

• Familiar with Schneider Electric's LCA data management

• Strong analytical and problem solving skills

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.

McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.

Hourly Salary:

$30.75

Hours per Week:

27 (Part time)

Location:

Macdonald Eng. Bldg.

Supervisor:

Professor

Position Start Date:

2025-02-15

Position End Date:

2025-06-21

Deadline to Apply:

2025-02-14

This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.