Dr. Mustafa Mohamad’s research group at the University of Calgary is inviting applications for funded MS, PhD, and Postdoctoral positions in the areas of data-driven methods, uncertainty quantification, and scientific machine learning applied to energy systems and environmental monitoring.
The research group is at the forefront of developing next-generation technologies to support a renewable hydrogen economy, leveraging cutting-edge algorithms and technological advancements.
Why Calgary?
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Recognized as one of the world’s cleanest and most livable cities.
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A hub for business, community leadership, and innovation.
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Home to a thriving research and technology ecosystem, making it an ideal environment for academic and professional growth.
Eligibility Requirements for the University of Calgary Graduate Scholarship
To be considered for the University of Calgary Graduate Scholarship, applicants must meet the following criteria:
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Be a self-motivated individual with expertise in computational methods, applied mathematics, optimization, statistics & probability, machine learning, dynamical systems, and programming.
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PhD applicants must hold or be in the process of completing a Master’s degree before admission.
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MS applicants must have an undergraduate degree with a competitive GPA.
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Only candidates with strong academic records will be considered. Applications are welcome from both Canadian and international institutions.
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The research group is particularly interested in candidates with a solid background in one or more of the following fields:
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Probability & statistics
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Applied mathematics
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Combustion science
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Computational science
How to Apply:
Interested candidates should
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Send a brief statement on research experience/career goals, your CV, and transcripts to mustafa.mohamad@ucalgary.ca
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Email title must be in the format: Application – [MS/PhD/Postdoc] – Full Name E.g: Application – MS – Jane Doe. Applications not in this format will be discarded.
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Include references that can be contacted in your CV and feel free to include any projects that demonstrate your expertise, e.g. projects or publications, or interesting facts that make you motivated to join our team.
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Only qualified candidates will be contacted.
For full consideration, please submit application materials before Mar 15, 2025.
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