POST Doctoral FELLOW - Mining and Explosives Engineering

Location

Rolla, Missouri

The U.S. mining industry has advanced technological innovations to improve safety, health, and operating efficiencies. These technologies have reduced accidents and fatalities over the years. However, the industry has one of the most dangerous environments for workers. The 2021 fatality rate of 16.15 was four times the average rate for all U.S. industries. Autonomous, robotic, and intelligent (ARI) systems are the next frontiers for achieving zero fatality.

This research program will advance initiatives, technological innovations, and interventions in ARI systems to eliminate mining fatalities within the next two decades. In particular, the research program will (1) develop intelligent data analytics using artificial intelligence (AI) and machine learning (ML) algorithms for analysis, predictions, and process management to assure ARI systems; (2) develop cybersecurity and systems network security to secure, protect, and prevent adversarial attacks against ARI systems;

(3) develop integrated human-centered designs and change management systems, within human-centered operations, for the new intelligent paradigm to ensure smooth operations; (4) develop an intelligent communication system for bulk data transfer with embedded systems for data warehousing, processing, and usage to provide 360° vision and prevent collisions; (5) develop intelligent robot assistance in mining for safe operations in high-temperature areas, areas with toxic and explosive gases, or tight spaces for equipment maintenance;

and (6) create intelligent mine rescue and post-disaster surveillance for the emerging ARI systems.

Duties and Responsibilities: Selected candidates would be expected to carry out cutting‑edge research in any of the areas identified under "Qualifications and Experience", publish refereed manuscripts, mentor graduate students, participate in developing research proposals, and make presentations to relevant audiences.

Applicants must have a PhD in Engineering or Computer Science with strong research experience and relevant publications in automation, artificial intelligence, machine learning, cybersecurity, other intelligent systems, and their applications in real‑world systems (especially in transportation networks design, manufacturing systems, disaster prevention and control, data analytics, network systems security, and emergency evacuation management).

Posted until filled.

This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://(Use the "Apply for this Job" box below)..

The University of Missouri is an Equal Opportunity Employer.

To request ADA accommodations, please call the Office of Equity & Title IX at .