We are searching for a highly analytical, systems‑focused Research and Development Engineer to join the Applied Sustainment Technologies Division at the Applied Research Laboratory (ARL) at Penn State. Our division supports mission‑critical research for the Navy and other federal sponsors, advancing data-driven decision tools, predictive models, and engineering solutions that enhance reliability, readiness, and operational performance. This role will lead the development of data science methods, predictive maintenance analytics, and engineering assessments with direct impact on ARL customers. 

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

You will:

• Lead development of analytic methods including machine learning, anomaly detection, predictive maintenance models, and network or system‑level analyses 

• Develop and evaluate reliability and failure models for complex naval or defense‑related systems

• Translate complex technical findings into clear, actionable recommendations for technical and executive audiences

• Build, validate, and document data pipelines, analytic tools, dashboards, and modernization processes, including cloud‑based environments (AWS/GCP/Azure)

• Engage with cross‑functional engineering teams to support system readiness assessments, configuration analysis, and engineering change evaluations 

• Contribute to research proposals, technical reports, and customer deliverables

• Provide mentorship, technical guidance, and collaboration across multidisciplinary project teams

Additional responsibilities for higher-level roles: 

• Lead major research thrusts, serve as principal investigator, and/or oversee integrated engineering programs

• Develop strategic technical direction in data-driven reliability engineering and advanced analytics

Required Skills/Experience areas include: 

• Past success solving complex analytical or engineering problems, using structured methodologies to reach effective, defendable solutions

• Failure analysis, reliability engineering, or predictive analytics

• Technical comput