Microelectronics Security Data Scientist

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country’s most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship.

Position Overview

The Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As a Microelectronics Security Data Scientist, you will collaborate with a multi-disciplinary team of research engineers and scientists on a wide range of microelectronics research projects. You will work directly with a team of hardware security research subject matter experts (SME), the senior Principal Investigator, Technical Lead, and Program Manager to support various project-specific research projects developing solutions to complex, open-ended hardware security problems.

The position is at the customer’s location in Dayton, OH. Remote work is not available for this position. Travel is not expected to exceed two to three times a year.

Responsibilities

Conduct research in the application of data science, including deep learning and complex statistical data analysis, for problems within microelectronic hardware security Perform all aspects of the data science lifecycle; gather requirements from non-data science technical staff, propose technical approaches, pre-process data, perform exploratory data analysis, model the data, critically evaluate performance of the model, and present findings Develop whitepapers and presentations to communicate research findings Contributes to proposals for new research in similar and/or related technology areas Provide technical mentorship to junior researchers supporting your programs Works collaboratively with customers, multi-disciplinary research partners and Riverside Research business, engineering, and technology teams on complex research and development projects Qualifications Required A minimum of 5 years of related experience with a Bachelors degree, 3 years with a Masters degree, a PhD without experience, or equivalent work experience is typically required for an employee at this level.

Secret clearance required to start, but must be able obtain Top Secret security clearance and all required program access approvals Expertise with machine learning suited for signal and image data, in one or more of the following: Unsupervised Learning, Bayesian classifiers, Regression, Random Forests, Deep Learning, Graph Neural Networks, Belief Propagation, Statistical Inference, Dimensionality Reduction Proficient in Python and popular data science libraries (NumPy, Scikit-Learn, Matplotlib, etc.) Demonstrated experience processing time‑series or image datasets, including alignment, filtering, feature extraction, and model development Experience presenting technical material…

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