An undergraduate research assistantship is available in the Department of Nuclear Engineering to support a project on multi-source data analytics for characterization of operations at nuclear facilities. To complement physical sensing of radiation signatures from fissile materials, indirect physical sensing of ambient conditions can be used along with pattern-of-life assessment to inform assessment of proliferation-relevant activities. The goal of this work, in
collaboration with the Nevada National Security Site and Sandia National Laboratories, is to collect multimodal data and develop algorithms for integration of disparate data types to identify “useful” patterns reflective of nuclear fuel cycle
Responsibilities include experiment planning and data acquisition using compact multi-sensor devices, model development for multi-sensor data analytics (e.g., machine learning, PCA, etc.), oral and poster presentations, technical writing, and attendance of a weekly research group meeting.
The position is for Fall 2018 with the potential for follow-on support contingent upon performance.
• Undergraduate degree in progress in Nuclear Engineering, Physics, Computer Science or related disciplines
• Proficient in Python
• Highly motivated team player
• Independent and creative thinker
• Familiarity with a Linux/Unix environment
• Familiarity with scikit-learn or other ML platforms
To apply, submit a cover letter and CV to
Bethany L. Goldblum, PhD (email@example.com)
Department of Nuclear Engineering, UC Berkeley