Research Assistant, Congestion Prediction in Air Cargo Operation

Description

About the Project

This research project aims to develop a machine learning (ML) model to predict short-term congestion in air cargo operations. The research integrates operational logistics applied AI and stakeholder engagement with aviation industry partners (Westjet Cargo). The RA will support the PI in reviewing literature building and cleaning datasets running baseline ML models and preparing visualizations and summary materials. The project is supervised by Dr. Mina Enayatollahi Assistant Professor of Aviation Bissett School of Business and contributes to ongoing collaboration between MRU and WestJet.

About the Role

The RA will work under direct supervision and gradually take on increasing responsibilities. The position will work approximately 6-10 hours per week for 9 months with the possibility of extension.

Responsibilities

• Conduct literature reviews on air cargo operations congestion modeling and ML in logistics
• Assist in compiling and formatting operational or simulated datasets
• Support the development and testing of predictive ML models using Python
• Help evaluate model performance using standard metrics
• Prepare visualizations and summaries for reports presentations or posters
• Participate in weekly check-ins and contribute to knowledge mobilization activities

Qualifications

Preferred (but not required)

Salary : $21.23 - $26.81 per hour

Closing Date : December 26 2025

Required Experience :

Junior IC

Key Skills

Laboratory Experience,Spss,Data Collection,DNA Isolation,Stata,Biochemistry,Qualitative Research Interviewing,Research Experience,Statistical Software,Molecular Biology,Research Laboratory Experience,Western Blot

Employment Type : Gig

Experience : years

Vacancy : 1

Hourly Salary Salary : 21 - 26