Overview

The Princeton Plasma Physics Laboratory (PPPL) is seeking a researcher to develop optimization and control approaches for controlled nuclear fusion.

 

The Princeton Plasma Physics Laboratory is a world-class fusion energy research laboratory managed by Princeton University for the U.S. Department of Energy’s Office of Science. PPPL is dedicated to developing the scientific and technological knowledge base for fusion energy. The Laboratory advances the fields of fusion energy and plasma physics research to develop the scientific understanding and key innovations needed to realize fusion as an energy source for the world.

Responsibilities

The successful candidate will:

• Develop integrated modeling simulations and machine learning accelerated models for the impact of 3D coils and beams on DIII-D discharges.
• Use these models to develop simulators and performance optimization strategies.
• Relevant methods include deep learning, numerical optimization including genetic algorithms and Bayesian optimization, dynamic systems modeling, and control theory.
• The methods will be tested first in simulations and those that are successful will be tested on real devices.

We are looking for a highly motivated data scientist and an excellent communicator who will collaborate closely with the teams at PPPL and General Atomics.

Qualifications

Education and Experience:

• Applicants should have a Ph.D. in plasma physics, control engineering, data science, or related fields.
• Preference will be given to candidates with experience in tokamak physics, integrated modeling and analysis using codes like TRANSP, NUBEAM, and GPEC, machine learning for dynamic systems, and optimization.

Knowledge, Skills and Abilities:

• Familiarity with machine learning approaches for modeling complex time-dependent, spatially distributed systems is required.
• Experience with optimization, and/or control algorithm design is desired.
• Excellent software development skills in Python and/or C/C++, MATLAB/Simulink
• Familiarity with parallel computing, high-performance computing, and software development tools.
• Excellent presentation, writing, and communication skills.

Working Conditions:

• Periodic participation in PPPL-led international collaborations is expected. 

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

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. All PPPL employees are required to disclose any participation in a foreign government talent recruitment program and may be required to withdraw from such programs to remain employed under the DOE Contract.

Standard Weekly Hours40.00Eligible for OvertimeNoBenefits EligibleYesProbationary Period180 daysEssential Services Personnel (see policy for detail)NoPhysical Capacity Exam RequiredNoValid Driver's License RequiredNo #LI-CL1