Funded PhD: Breaking Down Barriers – A Seascape-Ecological Framework to Define Connectivity in Marine Systems University of Bristol in United Kingdom

This funded PhD opportunity at the University of Bristol, in partnership with Macquarie University, focuses on developing a dynamic seascape-ecological framework to understand connectivity and barriers to dispersal in marine systems. Marine ecosystems are shaped by the movement of organisms across seascapes, with oceanographic processes constantly reshaping dispersal pathways. Unlike terrestrial landscapes, marine barriers are not fixed but emerge from mismatches between biological traits and physical transport, occasionally resulting in rare but ecologically significant long-distance dispersal events. These shifts are increasingly relevant as climate change alters ocean circulation and species’ life histories, enabling invasive species and range expansions.

The project builds on landscape ecology and resistance theory, extending them into the marine realm by explicitly accounting for temporal fluctuations in oceanographic patterns. By coupling biophysical dispersal models (such as Lagrangian particle simulations driven by ocean circulation models) with resistance-based and network-theoretic approaches, the research will identify how physical transport, biological traits, and environmental heterogeneity interact to produce barriers and shape population connectivity. The framework will enable the identification of source–sink dynamics, key stepping-stone habitats, and emergent barriers to dispersal, examining the stability of connectivity patterns through time, including transient network reconfigurations during rare dispersal conditions. There is also an opportunity to link modelling outputs with seascape genetics, using empirical connectivity measures to validate hypotheses.

This PhD is computational and quantitative in nature, ideal for candidates with backgrounds in applied mathematics, physics, engineering, computer science, oceanography, or quantitative ecology. The Doctoral Researcher will receive training in numerical modelling, network theory, and data analysis, working on a problem of clear ecological and environmental relevance. The student will play a central role in shaping the project, including parameterising biophysical dispersal models and designing indices to quantify the stability of connectivity networks. The project is well suited for those interested in developing transferable skills in modelling and data-driven analysis while addressing fundamental questions about connectivity, fisheries management, and marine conservation.

The supervisory team includes Dr Hugo Harrison and Dr Fanny Monteiro at the University of Bristol, and Dr Luisa Fontoura and Dr Mana Mbui at Macquarie University. The position is part of a joint cotutelle programme, offering international collaboration and training. Funding includes a 42-month tuition fee (21-months EPSRC-funded/21-months Faculty fee waiver) at Bristol, a 21-month stipend at UKRI rates, a £2,000 research training support grant per annum, a 36-month tuition fee scholarship for Macquarie University, a 21-month stipend indexed annually (2026 rate: AUD $39,700), and an airfare allowance between the UK and Sydney up to AUD $4,000. Note that scholarships do not cover fees incurred as a result of extension or resubmission.

Applicants must hold a BSc and/or MSc in Physics, Mathematics, or related fields. Overseas students are welcome but must pay the difference between home and overseas fees and state clearly how this will be paid. Admission and scholarship criteria for both universities must be met, including English language requirements. Applicants must not already hold or be matriculated for a doctoral degree at Macquarie University or another institution.

To apply, submit an Expression of Interest (EOI) via email directly to all supervisors, including CV, academic transcripts, and a statement describing your fit for the project. Use the subject line 'Global PhD in Biological Sciences.' After EOI, candidates will be asked to submit formal applications to both institutions, including a research proposal and personal statement. Ensure all supporting documents and eligibility requirements are met. For queries, email [email protected]. The application deadline is April 19, 2026.