Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
Concordia University
4 days ago
Funded PhD, Postdoc, and MASc Positions in Thermal Reduced-Order Modeling and Model-Based Safety Assessment for Aerospace and Space Systems Concordia University in Canada
Degree Level
Master's, PhD, Postdoc
Field of study
Systems Engineering
Funding
Full funding availableCountry
Canada
University
Concordia University

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Funded research openings are available at Concordia University in collaboration with Maya HTT for a project on integrated thermal reduced-order modeling and model-based safety assessment for early-stage aerospace and space system design.
The opportunity includes one postdoctoral fellow, one PhD student, and MASc students. The research combines thermal simulation, reliability engineering, digital engineering, systems engineering, and safety-critical aerospace analysis. A key application area is an industrial space propulsion case study involving a Liquid Injection Thrust Vector Control system.
The postdoc will lead development and validation of thermal reduced-order models and their integration into industrial digital engineering workflows. The PhD project focuses on thermally aware model-based safety assessment, including degradation modeling, AltaRica 3.0 safety modeling, and coupling physics-based and safety assessment models. MASc students will contribute to system modeling, validation, simulation studies, and case studies applying the framework to aerospace and space systems.
Applicants should have a strong background in aerospace engineering, mechanical engineering, systems engineering, reliability engineering, or a related field. Strong analytical and programming skills are required. Experience in simulation, safety assessment, model-based engineering, thermal modeling, reduced-order modeling, multiphysics simulation, or numerical methods is an advantage for the postdoctoral role. Preference is given to applicants eligible for Canadian funding schemes, and candidates from underrepresented groups and nonstandard academic pathways are encouraged to apply.
The positions are funded with a competitive bursary, and excellent candidates may receive additional awards. International tuition fees may be waived in some cases. The start date is Fall 2026 or early 2027. Applications are open until a suitable candidate is identified, so early submission is recommended.
To apply, email a motivation letter, CV, and transcript to [email protected] and [email protected]. Use the appropriate subject line for the PDF, PhD, or MASc application and include an optional one-page explanatory statement if relevant.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.