Tenured or Tenure-Track Cluster of Assistant, Associate, or Full Professor Positions in Mining Engineering (Geostatistics)

University of Alberta • Edmonton, AB

9d • Onsite

About The Position

The Faculty of Engineering at the University of Alberta invites applications for a faculty position as part of a coordinated cluster of five positions reflecting our commitment to advancing collaborative research and teaching in complex global issues including infrastructure resilience, environmental sustainability, and responsible resource development. These five positions are strategically designed to work collaboratively to address broad challenges that require expertise in Geotechnical Engineering, Environmental Engineering, Water Resources Engineering, and Mining Engineering. Together, the successful candidates will advance research at the critical interfaces between earth systems, water resources, and the built and natural environments, addressing areas such as: climate-resilient infrastructure founded on evolving subsurface conditions; sustainable mining practices that integrate geostatistical prediction with geoenvironmental remediation; drinking water quality and treatment; surface hydrology and contaminant transport modelling; and innovative engineering solutions that bridge geotechnical, hydrological, and environmental engineering principles. The cluster will foster collaboration across traditional disciplinary boundaries, leveraging emerging technologies including advanced sensing and monitoring systems, data science and uncertainty quantification methods, artificial intelligence and machine learning for predictive modeling, and digital tools for integrated earth systems analysis. The successful candidates will have access to world-class experimental and computational facilities and collaborative research environments, including the Geotechnical Centre, the Water Research Centre (WRC), and the Centre for Computational Geostatistics (CCG). A full-time, tenure-track Assistant, Associate, or Full Professor position in geostatistics is available. We seek candidates with expertise in geostatistics, orebody modelling, uncertainty quantification, spatial modelling, and/or data science, and a demonstrated ability to work across disciplinary boundaries to address complex technical and societal problems in the resource sector and beyond. The successful candidate will contribute to the continued growth and international visibility of the Centre for Computational Geostatistics (CCG), an externally funded geostatistical research hub. This position will be filled alongside complementary appointments, fostering strong collaboration across disciplines. Each successful candidate will be expected to develop and sustain externally-funded, collaborative research programs that strengthen partnerships with the Geotechnical Centre, The Water Research Centre, Centre for Computational Geostatistics (CCG), and industry partners. Candidates are encouraged to pursue both fundamental and applied research that advances the scientific foundations of next-generation infrastructure systems. These positions are part of the University of Alberta's priority to build a diverse faculty; thus, candidates from underrepresented groups are strongly encouraged to apply.

Requirements

• Expertise in geostatistics
• Expertise in orebody modelling
• Expertise in uncertainty quantification
• Expertise in spatial modelling
• Expertise in data science
• Demonstrated ability to work across disciplinary boundaries to address complex technical and societal problems in the resource sector and beyond

Nice To Haves

• Ability to develop and teach courses in at least two of the four disciplines (Geotechnical, Mining, Environmental, and Water Resources)
• Experience advancing collaborative research linking geostatistics with geotechnical, environmental, and water systems problems across the cluster

Responsibilities

• Actively engage in cross-disciplinary collaboration
• Joint supervision of students
• Development of integrated research initiatives across the cluster themes
• Establish multidisciplinary research programs
• Contribute to the continued growth and international visibility of the Centre for Computational Geostatistics (CCG)
• Develop and sustain externally-funded, collaborative research programs that strengthen partnerships with the Geotechnical Centre, The Water Research Centre, Centre for Computational Geostatistics (CCG), and industry partners
• Pursue fundamental and applied research that advances the scientific foundations of next-generation infrastructure systems

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 1-10 employees