Job ID: 2019-11251 Type: Full-Time # of Openings: 1 Category: Research and Laboratory
The Princeton Plasma Physics Laboratory seeks to fill a postdoctoral research position in the ITER & Tokamak Department for the development of real-time plasma control strategies for scenario optimization and disruption avoidance on the KSTAR tokamak. The successful candidate will work within a team to expand diagnostics and calculations available in the KSTAR real-time control system, and to design, simulate, and test model-based control algorithms. The appointment will be based in Princeton.
The successful candidate will work within a team to develop control-oriented models for plasma equilibrium and profile evolution and model-based control strategies to optimize performance and avoid disruptions. The candidate will also contribute to integrating new diagnostics and calculations within the KSTAR Plasma Control System and perform closed-loop integrated modeling simulations. The candidate will also experimentally test new control strategies on the KSTAR tokamak, located in Daejeon, Korea. The work includes developing fast reduced models for magnetic equilibrium, heating and current drive sources using neural networks and machine learning methods. We are looking for a highly motivated scientist, a team player and an excellent communicator who will collaborate closely with the onsite team at PPPL and researchers and engineers at KSTAR to develop and successfully apply plasma control tools. The position is at the post-doctoral level.
The successful candidate will be based in Princeton and is expected to occasionally travel to KSTAR and/or other national and international fusion facilities for joint experiments, workshops and conferences
Education and Experience
Applicant should have a Ph.D. in plasma physics, control engineering, or related fields. Preference will be given to candidates with experience in tokamak physics and real-time control applications.
Knowledge, Skills and Abilities
Familiarity with time-dependent simulations, including integrated models like TRANSP, as well as system identification and model reduction techniques, is highly desirable. Experience with machine learning, control algorithm design, and real-time algorithm implementation is desired. Experience with the General Atomics Plasma Control System or similar software is desirable but not essential.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW
Internal Number: 118995354
About Princeton University
Princeton University is a vibrant community of scholarship and learning that stands in the nation's service and in the service of all nations. Chartered in 1746, Princeton is the fourth-oldest college in the United States. Princeton is an independent, coeducational, nondenominational institution that provides undergraduate and graduate instruction in the humanities, social sciences, natural sciences and engineering.As a world-renowned research university, Princeton seeks to achieve the highest levels of distinction in the discovery and transmission of knowledge and understanding. At the same time, Princeton is distinctive among research universities in its commitment to undergraduate teaching.Today, more than 1,100 faculty members instruct approximately 5,200 undergraduate students and 2,600 graduate students. The University's generous financial aid program ensures that talented students from all economic backgrounds can afford a Princeton education.