PhD Scholarship in Geometric Flows
- Career Category: Scholarships
- Location: Australia
Supervisor: Dr. Glen Wheeler (Homepage, School of Mathe-matics & Applied Statistics, University of Wollongong)
Start: 2026 (flexible)
Stipend: AUD $35,522 p.a. (indexed; includes $3,000 top-up)
Dura-tion: 3.5–4 years
Location: Wollongong, NSW, Australia
Suggested PhD Topics
(P1) The family of H−k(ds) gradient flows.
Develop existence/uniqueness theory, weak/variational formulations, regularity, and long-time behaviour for curvature energies under negative-index Sobolev metrics along curves or surfaces. Questions include metric completeness, well-posedness across topological changes, energy dissipation, and convergence to canonical equilibria.
(P2) The H2(dµ)-gradient flow of the ideal energy (a second-order flow).
Study the flow generated by the H2 Riemannian metric on the space of immersions with area measure dµ. The completeness of the H2-metric is expected to aid stability analysis of constant-mean-curvature (CMC) surfaces. Targets include linear and nonlinear stability, spectral-gap estimates, Łojasiewicz–Simon type inequalities, and sharp convergence criteria.
Each project equips the candidate with cutting-edge knowledge in geometric flows with intersec-tions across PDE, functional analysis, and differential geometry.
What You Will Do
- Build rigorous PDE/variational theory for geometric gradient flows (well-posedness, regularity, asymptotics).
- Prove stability and convergence results (e.g. around CMC equilibria) using analytic and geometric tools.
- (Optional) Design numerical experiments (e.g. MATLAB/Python/Julia) to explore conjectures and guide analysis.
- Disseminate results via publications and international conferences.
Training & Environment
You will join an active group in analysis and geometry at the University of Wollongong, Training covers: high-order elliptic/parabolic PDE, calculus of variations, geometric analysis of curvature energies, Sobolev Riemannian metrics on shape spaces, and gradient-flow techniques (including metric-space and Łojasiewicz–Simon frameworks).
Eligibility
- Candidate Profile
- Honours/Master’s degree (or equivalent) in mathematics with strong results.
- Background in at least one of: PDE, functional analysis, differential geometry, calculus of variations.
- Evidence of research potential (thesis, preprints, strong references).
- Programming experience is welcome but not required.