Pacific Fusion is seeking exceptional Diagnostic Scientists to join our dynamic team and create the path to commercial fusion energy. You will collaborate with engineers and scientists towards our demonstration of ignition and high-gain targets for fusion energy applications.
Responsibilities:
The main responsibility of a Diagnostic Scientist is to design and implement state-of-the-art diagnostics that will be used for target-physics experiments on our high-gain facility. Strong candidates will have the following core competencies:
Independence: This role will require converting diagnostic requirements into viable conceptual designs and then implemented systems, in a fast-moving, dynamic, and innovative environment.
Domain expertise: A successful Diagnostic Scientist will be the internal expert on the diagnostic systems under their area of responsibility.
Creativity and problem solving: Aspects of our fusion system concept will require innovation in measurement methodology, while others may be rapidly solved by re-using existing technologies. Success in this role will require identifying the best path forward to our goals.
Insight: The ultimate goal of the diagnostic team is to build the capability to test our fusion concepts and identify paths towards improved performance. Diagnostic Scientists should be able to identify which measurements are the most critical to the success of experiments on our demonstration systems.
Teamwork: These problems are too big for any one person to solve on their own. All Diagnostic Scientists are expected to be strong communicators and thoughtful teammates.
Qualifications:
A Ph.D degree in a relevant field, or other relevant experience speaking to the competencies above.
Experience with nuclear, x-ray, or optical diagnostics in fusion, high energy density physics, or other experimental science.
Multiple skills relevant to the development of these systems, e.g. analysis, modeling and simulation, testing and calibration.
Excellent communication skills
Ability to work cross functionally across a wide array of teams