Position OverviewThe Riverside Research Engineering and Support Solutions (ESS) directorate conducts Research and Development (R&D) of cyber-physical attacks against embedded systems. As aMicroelectronics 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 customers 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 timeseries or image datasets, including alignment, filtering, feature extraction, and model development
- Experience presenting technical material to both technical and non-technical audiences
- Ability to manage timelines, product delivery, and product quality for research projects
- Willing to work in a secure US Government facilities
- Interest in solving open-ended research challenges
- Willing to travel 2-3 times per year
Desired
- Active DoD Top Secret (TS) or equivalent US Government security clearance
- Experience with TensorFlow, PyTorch, or similar Deep Learning framework
- Experience with batch processing, GPU acceleration, or parallel workloads
- of large data sets across multiple GPUs
- Experience with data transformations such as Principal Component Analysis (PCA)
- Experience using revision control software
- Experience leading a small technical team on research projects
- Understanding of information theory and its application to cryptographic algorithms
- Understanding of signal processing is highly desired
- Bachelors Degree in a quantitative discipline (e.g., computer engineering, electrical engineering, statistics, computer science, mathematics, physics, or other STEM fields) and 8 years' experience, or Masters Degree in a related discipline and 3 years' experience, or 3 years' practical experience with a PhD in a related discipline
Global Comp$130,000 - $195,000 This represents the typical compensation range for this position based on experience, location and other factors.
