Postdoctoral Fellow in Fluid Mechanics & Machine Learning at University of Alberta
Edmonton, AB T6G 2B7, Canada -
Full Time


Start Date

Immediate

Expiry Date

12 Sep, 25

Salary

0.0

Posted On

27 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Model Development, Prediction, C, Aerospace, Civil Engineering, Visualization, Python, C++

Industry

Mechanical or Industrial Engineering

Description

Department Faculty of Engineering - Mechanical Engineering Dept
Hours per week -
Posted date July 25, 2025
Closing date September 12, 2025
Position Type Full Time - Trust Funded

DESCRIPTION

This position is part of the Post Doctoral Fellows Association and has an initial appointment of one year.
This position has a comprehensive benefits package.
Location - This role is in-person at North Campus, Edmonton.

POSITION SUMMARY

This position is time-sensitive due to the project start date in September 2025.
This postdoctoral position focuses on developing and applying CFD and machine learning methods for understanding flow dynamics and predicting pipeline damage. The ideal candidate will be part of an interdisciplinary team and contribute to high-impact research with real-world industrial applications.

MINIMUM QUALIFICATIONS

  • PhD in Mechanical, Aerospace, Civil Engineering, or Computing Science
  • Experience with CFD solvers and ML algorithms
  • Proficiency in C/C++ or Python

PREFERRED QUALIFICATIONS

  • Experience with OpenFORM
  • Familiarity with FSI simulations and preCICE
  • AI/ML model development for prediction and visualization
  • FEM-based code usage (deal.ll, CalculiX)
Responsibilities
  • Conduct CFD and applied ML research
  • Submit journal and conference publications
  • Support proposal and funding development
  • Supervise junior researchers
  • Participate in meetings and activities
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