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Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

POSITION SPECIFICS

The Applied Sustainment Technologies (AST) Division of the Materials, Manufacturing and Sustainment Office (MMSO) at the Applied Research Laboratory (ARL) at Penn State University is seeking a Department Head for the Supply Chain Engineering Department. The Supply Chain Engineering Department advances data-driven sustainment solutions through operations research, applied mathematics, modeling and simulation, and advanced analytics to improve readiness, resilience, and lifecycle affordability and manufacturability of defense systems. The Department Head will provide strategic and technical leadership for a growing portfolio of research in supply chain engineering, operations research, and modeling & simulation. The Department Head will also shape and expand ARL’s capabilities in advanced analytics, digital engineering, and decision-support systems that directly impact national defense sustainment performance. This role requires a strong foundation in applied mathematics and system modeling, combined with demonstrated experience leading technical teams and managing complex DoD-sponsored programs.

ARL is an authorized DoD SkillBridge partner and welcomes transitioning military members to apply.

You Will:

• Provide organizational leadership to the Supply Chain Engineering Department, including employee management, recruitment, development, technical direction, and retention

• Establish and execute a strategic vision for research and development in supply chain engineering, operations research, and modeling and simulation aligned with DoD sustainment priorities

• Serve as a Principal Investigator and/or Program Manager on ARL programs, leveraging expertise in applied mathematics, system modeling, and simulation to ensure successful technical and programmatic execution

• Lead the development of advanced analytical models, digital twins, optimization frameworks, and simulation environments for logistics, maintenance, and enterprise sustainment systems

• Oversee execution of projects involving large-scale data analysis, predictive analytics, and decision-support tools for military and intelligence community applications

• Collaborate with multidisciplinary teams of engineers, computer scientists, logisticians, and domain experts to solve complex sustainment and readiness challenges

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