Battelle is seeking to solve humanity's most pressing challenges and create a safer, healthier, and more secure world by applying data science to unconventional problems in cyber microelectronics security.
Requirements
- Experience with high-level software languages such as Python, R, or MATLAB
- Basic machine/statistical learning approaches and validation techniques
- Ability to apply learned skills to real-life scenarios (e.g., research, publication, blogs, GitHub, Arxiv, Kaggle competitions, internships, hack-a-thons, cybersecurity clubs, CTFs, etc.)
- Reverse engineering embedded hardware and software
- Programming and using data acquisition tools
- Experience with one or more of the following areas: Big data methods, Databases (SQL, NOSQL, graph DB), Writing or debugging software code in C or C++ or C-Sharp, Reverse engineering hardware or software, CAD or layout experience, VLSI design coursework, FPGA design workflows, Microcontroller design and assembly languages, Semiconductor fabrication and analysis processes
Responsibilities
- Aid in the design and implementation of machine learning, data mining, data fusion, and data engineering techniques applied to cyber microelectronics security problems
- Assess the security, reliability, and trustworthiness of electronic devices, integrated circuits, and embedded systems
- Support the latest Cyber Trust and Analytics team’s research and development programs
- Conduct and / or participate in assigned technical tasks and activities with minimum supervision and within time and budget constraints.
- Work independently and effectively in a multi-disciplinary team environment
- Effectively communicate ideas with other engineers
Other
- Currently enrolled in a bachelor’s, Master’s or Doctorate degree program in Data Science, Physics, Computer Engineering, Materials Science, Statistics, Mathematics, Systems Engineering or related field of study
- At least 1-year of college-level coursework completed
- Ability to demonstrate organization, communication, problem-solving, and teamwork skills
- Interest in one or more of the following areas: Digital design and microcontrollers, Deep neural network approaches, Signal Processing, Machine learning on graphs, Cryptography, Data integration (e.g., Hierarchical Bayes)
- Must be a U.S. Citizen with the ability to obtain and maintain a US government security clearance
