Research Assistant 2

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HIRING DEPARTMENT:

Mechanical Engineering

POSITION SUMMARY:

The Research Assistant will assist the Research Supervisor and investigate neural-network-based architectures for the prediction of unsteady flow over automotive vehicles.

RESPONSIBILITIES:

• Analyze key factors influencing the optimization of training sample sets.

• Research output sensitivity to training data during the learning process by monitoring stochastic gradient descent and identifying key parameters in the linear regression model.

• Oversee weights and biases within the learning model to assess the impact of specific design structures on outcomes.

• Utilize open-source neural network frameworks, primarily TensorFlow and PyTorch.

• Develop and train neural network models using Stellantis data with TensorFlow and PyTorch.

• Employ the frameworks to predict untrained data points.

QUALIFICATIONS:

• Experience in neural-network-based architecture

• Familiar with Stellantis

• Familiar with machine learning methods and techniques for data analysis

• Strong analytical and problem solving skills

• Master's degree in Mechanical Engineering

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:

25 (Part time)

Location:

Macdonald Eng. Bldg.

Supervisor:

Professor

Position Start Date:

2025-04-01

Position End Date:

2025-06-30

Deadline to Apply:

2025-04-03

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.