Job Number: 21721
Hours: Full Time
Date: August 18, 2022
Plasma Science and Fusion Center (PSFC), to work in the area of experimental fusion plasma and stability physics research. The research will primarily focus on the DIII-D tokamak, a cornerstone element in the US fusion program strategy and in view of advanced ITER operations. Will continue the development of real-time models for DIII-D disruption prediction to be employed as alarms to off-normal events or as proximity-to-instability monitoring. Will lead the integration of such algorithms with the Disruption Free Protocol at DIII-D to qualify relevant solutions for ITER scenarios. Emphasis will be placed on the analysis of model and data uncertainties for real-time applications, with a preference for the development of probabilistic frameworks for time-to-event predictions. Will contribute original research to the PSFC program, producing work for publication and presenting work at scientific conferences; and contribute mentoring graduate students.
REQUIREMENTS: The successful candidate must have a Ph.D. in plasma physics or closely related science and engineering discipline, with experience working with data at scale and understanding plasma stability, disruptions, and their experimental measurements. Experience applying machine learning to predictive modeling is desirable; proficiency with Python or Matlab programming; and experience with common open-source software development practices. Must be able to communicate effectively and work in a dynamic, fast-paced team environment with staff and students from MIT, other universities, national laboratories, and private industry.
The position will be located at General Atomics, San Diego, California, with occasional travel to MIT to reconnect with the team.
Salary Range: $80K-$85K
Please apply for the position on the Careers at MIT website.