Research Assistant 2

2 weeks ago


Montréal, Canada McGill University Full time

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Hiring Unit:
Mechanical Engineering Department

Position Summary:
Main Duties and Responsibilities:

- The objective of this work is to investigate the factors and parameters that allow for an improved or near optimum set of sample training set to ensure that outputs from the machine learning models provide for results with the most optimum confidence intervals. Such a near-optimum set would reduce the need for additional data points. To accomplish this objective, the summer research assistant will first write a literature review of neural network approaches for computational fluid dynamics; secondly, investigate the sensitivity of the output to the training data sets during the learning process by monitoring the stochastic gradient descent process and identifying parameters in the linear regression model that are sensitive to specific input parameters within the data sets. For an example, by investigating differences in the A-pillar in the input data set and correlating that information to the output from the learning model and monitoring the weights and biases within the learning model, we can predict the importance of specific design structures on the outcome. Such a comprehensive investigation would provide a mechanism to make well-informed decisions on building data sets.
- In this deliverable, the research assistant will employ open-source neural-network architectures; primarily TensorFlow and Pytorch. First, a neural-network architecture would be constructed and trained on data from Stelantis using both TensorFlow and Pytorch. Second, the frameworks will be employed to predict an untrained data point; where the results are compared and contrasted to results predicted at Stelantis using their in-house codes.

Qualifications:
- To possess specialized knowledge of the field or discipline acquired through a master's degree.- Knowledge in computational fluid dynamics- Knowledge in benchmark codes- Proficiency in a variety of software and tools for documentation, simple analysis, document production, cataloging.- Excellent organizational skills: capacity to plan, execute and trouble shoot.- Independence: able to work independently with little direct supervision- Excellent communication skills in English; French is an asset (team interactions and planning are predominantly in English; tools will be made available in both English and French)- Good ability to plan and manage workload within tight deadlines
Hourly Salary:

$31.52

Salaire horaire:
$31.53

Heures par semaine:
40 (Temps plein)

Lieu:
Pavillon Macdonald de génie

Superviseur:
Professeur

Date de début de l’emploi:
2024-06-25

Date de fin de l’emploi:
2024-09-25

Date limite pour postuler:
2024-06-23

Ce poste est couvert par la convention collective de l’Association des employés de recherche de l’Université McGill (AMURE).
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