PhD Studentship in Control Engineering: Integrated Control Architectures for Synchrotron Light Sources
Develop advanced control architectures for next-generation synchrotron light sources with collaboration from Diamond Light Source.
Best for:Best for control systems engineers, applied mathematicians, or physicists with a strong background in systems theory, programming (MATLAB/Python), and an interest in interdisciplinary accelerator physics research.
Overview
This 3.5-year DPhil studentship at the University of Oxford focuses on designing innovative control architectures for next-generation synchrotron light sources. The project aims to integrate and coordinate multiple feedback systems—such as orbit feedback, radio-frequency systems, and beam diagnostics—operating at varying sampling rates and bandwidths. The successful candidate will develop structured, distributed, and hierarchical control methods to enhance electron and X-ray beam stability while addressing challenges like computational distribution and overlapping objectives. The work will involve collaboration with Diamond Light Source and potential partnerships with international synchrotron facilities, ensuring real-world applicability and impact.
What you'll do
- Develop novel control and architecture design methods to integrate and coordinate multiple feedback systems in synchrotron light sources.
- Investigate structured system decomposition techniques, such as multi-array matrix and tensor factorisations, for distributed control.
- Apply system shaping methods, including disturbance-observer-based approaches, to enhance beam stability.
- Collaborate with Diamond Light Source and other international synchrotron facilities to validate and refine control models.
- Evaluate proposed control architectures using realistic accelerator models and experimental systems.
- Publish research findings in peer-reviewed journals and present results at international conferences.
Requirements
Degree required: A first-class or strong upper second-class undergraduate degree with honours (or equivalent) in Engineering, Mathematics, Physics, Computer Science, or a related discipline
Degree offered: DPhil (PhD)
Language: English; proficiency required for academic communication and collaboration
Instruction: English
- Excellent written and spoken English communication skills
- Strong mathematical background
- Programming proficiency in MATLAB or Python for scientific applications
- Knowledge of systems and control theory, signal processing, optimisation, or numerical linear algebra
- Experience with real-time or embedded control systems
- Open to both UK and overseas students
- No age or residency restrictions beyond standard university admissions criteria
Funding & terms
How to apply
Deadline: 2026-12-02 (Europe/London)
Candidates must submit a graduate application form through the University of Oxford’s official portal and meet the graduate admissions criteria. Informal enquiries should be directed to Professor Idris Kempf via email. Include the reference code '27ENGCO_IK' in all correspondence.
- CV
- Cover letter
- Graduate application form
- Transcripts of previous degrees
- Two reference letters
Contact
Idris Kempf· Supervisor
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