An undergraduate research assistantship is available in the Department of Nuclear Engineering to support a project on multisource 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 is to collect multimodal data at nuclear reactor facilities and develop algorithms for integration of disparate data types to identify “useful” patterns reflective of nuclear fuel cycle operations.
Responsibilities include experimental fielding and data acquisition using compact multisensor devices, model development for multisensor data analytics (e.g., machine learning, PCA, etc.), and attendance of a weekly research group meeting. Opportunities may include the preparation of oral and poster presentations for technical conferences as well as peer-reviewed scientific journal articles.
The position is for Spring 2020 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 Keras/TensorFlow or other ML platforms
To apply, submit a cover letter and CV to
Bethany L. Goldblum, PhD (firstname.lastname@example.org)
Department of Nuclear Engineering, UC Berkeley