Kash Barker

The Risk-Based Systems Analytics Laboratory at the University of Oklahoma, led by Professor Kash Barker, is seeking new PhD students to join their research group in the School of Industrial and Systems Engineering. The lab focuses on the identification and mitigation of chokepoints and other risks in supply chain networks, the disruption of infrastructure networks resulting from disinformation weaponized by adversaries, and various topics related to network interdiction, network optimization under uncertainty, risk, and resilience. Current doctoral students are working on projects such as disinformation and multi-layer network disruptions, network interdiction under disinformation, robust network disruptions, production resilience, and supply chain optimization for critical minerals. The lab has a strong track record of placing graduates in faculty positions at leading institutions such as Vanderbilt University, Iowa State University, Mississippi State University, and the University of Oxford. Prospective students should have or be completing a master's degree in a relevant field, with a strong background in industrial engineering, systems engineering, operations research, or related disciplines. The opportunity is especially suited for students coming from US institutions. While specific funding details are not provided, interested candidates are encouraged to contact Professor Kash Barker directly for more information. The lab offers a collaborative environment focused on making processes and systems better through advanced analytics and risk-based approaches. For more information about the lab and its research, visit www.ou.edu/systemslab .

The Sooner Advanced Manufacturing Lab at the University of Oklahoma is seeking highly motivated PhD students and postdoctoral researchers to join a dynamic, interdisciplinary team at the forefront of advanced manufacturing science. The lab, part of the School of Industrial and Systems Engineering, is led by Professor Kash Barker and faculty colleagues, and offers opportunities to work on cutting-edge research in areas such as AI/ML-driven in-situ monitoring, predictive modeling for manufacturing, metal additive process development, and full lifecycle management of manufacturing research. Applicants for the PhD program should have backgrounds in Mechanical Engineering, Aerospace Engineering, Industrial Engineering, or Materials Science. The lab values candidates who are curious, hands-on, and passionate about innovation in manufacturing. Some sponsored projects require U.S. citizenship or permanent residency. Postdoctoral candidates should hold a PhD in a relevant field, have a strong publication record, and demonstrate expertise in sensor integration, finite element modeling (FEM), or metal additive manufacturing experimentation. Postdocs will benefit from competitive compensation, full benefits, and professional development opportunities including proposal writing mentorship, project management experience, and career guidance. The research environment features state-of-the-art facilities, including industrial-scale additive manufacturing systems and advanced materials characterization tools. The lab collaborates on sponsored, mission-driven projects with high impact. Appointment for postdocs is initially for one year, renewable up to three years based on performance and funding. To apply, send your resume or CV to [email protected] or submit your application via Interfolio. For more information, visit the lab's LinkedIn announcement or contact Professor Kash Barker directly.