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Aston University
Just Landed
2 days ago
Fully Funded PhD in Koopman Modelling and Inversion of Nonlinear Optical-Fibre Channels Aston University in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded for 3.5 years through the Leverhulme Trust research project and Aston's College of Engineering and Physical Sciences. The studentship covers all tuition fees and includes an annual stipend. It is open to international applicants, who remain responsible for relocation, visa-related financial requirements, flights, and the NHS Surcharge.
Deadline
Jan 5, 2027
Country
United Kingdom
University
Aston University
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About this position
Aston University is offering a fully funded PhD within the Aston Institute of Photonic Technologies on data-driven Koopman modelling and inversion of nonlinear optical-fibre channels. The 3.5-year cross-disciplinary project is supported by the Leverhulme Trust research project “Koopman Operator Method for Optical Communications (KOMET-COM)” and includes a two-month placement at Karlsruhe Institute of Technology in Germany.
The research will develop Koopman operator methods for modelling and compensating nonlinear effects in optical-fibre communication systems. The project represents nonlinear light propagation as a linear evolution of carefully selected observables, enabling modelling and nonlinearity compensation without relying on exact integrability of the channel model. This approach is intended to address realistic effects including fibre loss, amplifier noise, higher-order dispersion, and polarisation.
The student will construct, validate, and stress-test finite-dimensional Koopman models for realistic optical-fibre channels. Activities include implementing physics-informed observable dictionaries, performing large-scale GPU-based modelling of single- and dual-polarisation coherent transmission systems, examining model generalisation across propagation distance, bandwidth, launch power, and modulation format, and benchmarking Koopman forward propagators and inverse compensators against established techniques.
The successful researcher will join an established theoretical and computational group at the Aston Institute of Photonic Technologies, building on Aston’s work in nonlinear Fourier transform methods for optical transmission. The project offers interaction with mathematicians, theoretical physicists, and optical communication engineers under the supervision of Professor Sergei Turitsyn and Dr Yaroslav Prylepskiy, with collaboration from Professor S. Wahls at Karlsruhe Institute of Technology.
The research environment combines applied mathematics, nonlinear dynamics, theoretical physics, optical communications, data-driven modelling, scientific programming, and GPU computing.
Funding details
Fully funded for 3.5 years through the Leverhulme Trust research project and Aston's College of Engineering and Physical Sciences. The studentship covers all tuition fees and includes an annual stipend. It is open to international applicants, who remain responsible for relocation, visa-related financial requirements, flights, and the NHS Surcharge.
What's required
Applicants should hold or expect to achieve either a relevant Bachelor's degree with First Class or 2:1 honours, or a relevant Bachelor's degree with First Class or 2:1 honours plus a relevant Master's degree with Merit or higher. Equivalent international qualifications are accepted. Candidates should have exceptional skills in applied mathematics, theoretical or computational physics, or electrical engineering, with a strong mathematical background in nonlinear waves, dynamical systems, and scientific computing. Scientific programming experience in Python or MATLAB is preferred; GPU computing, PyTorch or JAX, numerical simulation of nonlinear partial differential equations, data-driven dynamical-systems modelling, Koopman methods, optical communications, or digital signal processing are advantageous. Knowledge of integrable systems and inverse scattering, information and communication theory, or machine learning is an asset. Applications must include degree transcripts and certificates, a research statement, personal statement, two academic references, English-language evidence, and a passport copy where applicable.
How to apply
Apply through the Aston University course page before 5 January 2027. Submit the complete application with degree transcripts and certificates, a research statement, personal statement, two academic references, English-language evidence, and a passport copy where relevant.
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