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Conduct applied security research across network, system, and hardware layers; develop prototypes and exploit analyses; analyze protocols, RF/SDR, and software; produce concise reports and advise U.S. government stakeholders. Occasional travel (10%) and ability to obtain Department of War security clearance required.

Establish and modify sponsored project accounts after award execution; review award documents and budgets; ensure compliance with sponsor and institutional policies; set up and validate award data in institutional systems; communicate with PIs and departments; monitor records, reporting, and workflow; support process improvement and system testing.

Partner with university teams to identify practical AI use cases, lead discovery and adoption, evaluate tools, develop training and workshops, provide hands-on mentoring and support, and build documentation, toolkits, metrics, and feedback loops to sustain AI service adoption across campus.

The Resiliency Automation Engineer will develop and maintain CI/CD pipelines, ensure code quality, and support embedded systems in a regulated environment, collaborating with various teams throughout the application lifecycle.

Conduct and lead research into AI vulnerabilities and defenses while collaborating with teams to develop operational capabilities and strategies. Mentorship and guidance are fundamental. The role focuses on emerging technologies and securing AI systems.

Design, prototype, assemble, and test electrical circuits, PCBs, sensors, and robotic subsystems. Source components, generate wiring diagrams, document results, support hardware design reviews, and travel for field experiments.

Lead and conduct advanced computing and applied ML research, turn results into prototype operational capabilities, perform rapid prototyping and evaluation, mentor junior staff, collaborate with interdisciplinary teams and government customers, explore novel hardware (FPGAs, CGRAs, TPUs, neuromorphic/analog processors), publish and present results, and shape research strategy for national security applications.

Lead applied research and engineering in data science and AI for cybersecurity: design experiments, build and deploy ML/LLM models, prototype solutions, co-author proposals, and present results to government sponsors and academic venues.

Lead electrical design for robotic subsystems: design and analyze electronics and PCBs, prototype and test assemblies, develop embedded firmware/FPGA code, interface sensors and motors, document results, support junior engineers, manage vendor/purchasing tasks, present to sponsors, and perform R&D for new electrical components.

Design, prototype, assemble, and test electrical and electromechanical systems for robotic platforms: sensor/circuit selection, PCB schematic/layout, firmware/MCU work, wiring, procurement, documentation, and field support.