Contribute to the development of advanced plasma control solutions, including enabling real-time communication with new measurements or actuator systems, real-time signal processing, implementing new real-time plasma state observers, and designing and implementing feedback control laws.
Develop off-line control-oriented tools to optimize plasma scenarios and calculate PCS feedforward requests.
Participate in planning, running, and analysis of experiments with a focus on Plasma Control System (PCS) performance and continuous improvements.
Use existing plasma physics codes and PCS software tools to carry out modelling related to operating scenarios and plasma control of ST40 and future devices.
Develop, test and maintain the ST40 Pulse Scheduling System (PSS) and Plasma Control System software and aid these systems’ integration.
Work closely with internal and external collaborators as part of a multidisciplinary Plasma Control Team.
Contribute to operating ST40 tokamak and support development for future high-field spherical tokamaks (STs).
Requirements
Good understanding of Control Engineering fundamental principles.
Ability and enthusiasm to learn new skills and concepts
Ability to break down projects into smaller steps, each deployable into production, with subsequent continuous improvements (Agile)
Experience working at the interface of physics and engineering, ideally in magnetic fusion devices, operating them, and analysing their data
Experience in interpretative or predictive modelling of physical systems that are realised in an engineered device, ideally modelling of fusion plasmas.
Higher degree in, control engineering, or closely related equivalent experience, ideally in plasma control
Motivated to approach project setbacks creatively and proactively seek solutions, in order to deliver against challenging objectives in a compressed timescale.
Proficiency in MATLAB/Simulink, C, Linux
Ability to contribute effectively in a multidisciplinary team of scientists, engineers and technicians.
Outstanding problem solving and troubleshooting skills.
Ability to work efficiently on one’s own initiative.
Desirable: Proficiency in real-time Linux
Desirable: Proficiency in Machine Learning.
Desirable: Familiarity with software development best practices, Git, and the V-model.
Desirable: Experimental data analysis experience.
Desirable: Willingness to develop existing and new collaborations.
Desirable: Track record of scientific publications.
Benefits
Salary dependent on skills and experience and will be discussed from the outset
25 days holiday plus bank holidays
Discretionary 3-day festive break depending on business needs
Eligible for discretionary performance related bonus
Share options scheme
Pension scheme
Financial benefits – including; group life insurance, critical illness, health cash plan and discount scheme
Innovation and Merit bonuses
Investment in training and development to support career progression
Opportunity to work on and contribute to world class innovation
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