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David Simpson

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PhD in Piecewise-smooth Dynamical Systems: Dimensionality Reduction via Degeneracies Massey University in New Zealand

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD Project (Students Worldwide)

Deadline

Year round applications

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Country

New Zealand

University

Massey University

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Keywords

Computer Science
Environmental Science
Deep Learning
Mathematics
Artificial Intelligence
Mathematical Modeling
Computational Mathematics
Dimensionality Reduction
Difference Equations
Differential Equation
Physics
Applied Mathematic

About this position

This PhD opportunity at Massey University focuses on piecewise-smooth dynamical systems, particularly those that switch between different types of evolution and suffer from the curse of dimensionality. The project is part of a Marsden funded initiative aiming to develop innovative strategies for dimensionality reduction by leveraging degeneracies commonly found in high-dimensional models. These degeneracies, arising from energy conservation, optimisation, and physical constraints, often remain hidden until the model is viewed abstractly. The research seeks to exploit these features to enable thorough analysis and reduction of complex systems.

Successful candidates will work with difference equations and ordinary differential equations, developing new theoretical results for systems with discontinuities using asymptotic methods and numerical simulations. Applications of the research include box models of ocean circulation and the internal dynamics of deep neural networks, which are central to modern artificial intelligence.

The position is based in the School of Mathematical and Computational Sciences at Massey University, under the supervision of Associate Professor David Simpson. Two Marsden scholarships are available, each covering all tuition fees for both international and domestic students and providing a tax-free stipend of NZ$35,000 per year for up to three years. The funding is provided by the Royal Society of New Zealand (Marsden grant 25-MAU-044).

Applicants should have a strong academic background in mathematics or a related discipline, with experience in difference equations, ordinary differential equations, asymptotic methods, and numerical simulations being advantageous. To apply, candidates should email their CV, academic transcript, and cover letter to Associate Professor David Simpson. Applications are accepted year round.

For further information and to apply, visit the project page: Piecewise-smooth dynamical systems PhD project.

Funding details

Funded PhD Project (Students Worldwide)

What's required

Applicants should have a strong academic background in mathematics or a closely related field. Experience with difference equations, ordinary differential equations, asymptotic methods, and numerical simulations is desirable. Candidates must submit a CV, academic transcript, and cover letter. No specific language test requirements or minimum GPA are mentioned.

How to apply

Email your CV, academic transcript, and cover letter to Associate Professor David Simpson. Applications are accepted year round. Refer to the project link for further details.

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