Hooman Askari
Top university
3 months ago
PhD Positions in Mining Optimization, Operations Research, and Computing Science at University of Alberta University of Alberta in Canada
Degree Level
PhD
Field of study
Computer Science
Funding
Four fully funded PhD positions are available. Funding covers tuition and provides a stipend, though the exact amount is not specified.
Deadline
Expired
Country
Canada
University
University of Alberta
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About this position
The University of Alberta's Mining Optimization Laboratory (MOL) is offering four fully funded PhD positions starting September 2026 in Edmonton, Canada. The positions are open to excellent and highly motivated candidates with backgrounds in Mining Engineering, Industrial Engineering, Computing Science, or Operations Research. The research will focus on simulation and optimization of mining systems, as well as mine planning optimization and design, using advanced operations research and analytical methods.
Applicants should have strong academic records, proficiency in English, and skills in computer programming and databases. Experience in mathematical programming and discrete-event simulation is advantageous. The application package must include official transcripts, degree certificates, English translations if applicable, three academic references, and official English language proficiency scores.
Funding covers tuition and provides a stipend. Early application is recommended, and only shortlisted candidates will be contacted for interviews. For more information, visit the official link or contact the supervisors.
Funding details
Four fully funded PhD positions are available. Funding covers tuition and provides a stipend, though the exact amount is not specified.
What's required
Applicants must have undergraduate and master's degrees from reputable universities with a strong academic background and high GPA in Mining Engineering, Industrial Engineering, Computing Science, or Operations Research. Proficiency in English with high TOEFL or IELTS scores is required. A reasonable publication track record for PhD applicants is an asset. Proficiency in computer programming and databases is advantageous. Experience in mathematical programming and discrete-event simulation is also an advantage. Applicants must submit an official transcript, degree certificate, English translations if applicable, three academic references (at least two academic, one professional allowed), and official English language proficiency scores (TOEFL, IELTS, MELAB, PTE, or CAEL).
How to apply
Prepare and submit a complete application package including transcripts, degree certificate, English translations if needed, three references, and English proficiency scores. Apply via the university's web application and contact the supervisors if needed. Early application is strongly recommended.
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