Research Fellow - Shellfish Restoration Network Modelling

About the role

The University of Auckland's Institute of Marine Science is seeking a Postdoctoral Research Fellow for a 24-month fixed-term, full-time (40 hours per week) position. The fellowship sits within an interdisciplinary programme focused on restoring ecologically important shellfish species, which helps rebuild marine ecosystems, improve water quality, enhance biodiversity and support coastal resilience. The fellow will use network theory to find the barriers to shellfish restoration and ecosystem recovery, working with ecologists, restoration practitioners, iwi, community groups and government agencies.

Key responsibilities

• Deploy ecological network models to marine restoration systems using experimental and observational datasets.
• Identify the ecological mechanisms and feedbacks that help or hinder shellfish recovery.
• Work with ecologists, restoration practitioners, iwi, community groups and government agencies.
• Publish high-impact research in international journals and present at scientific conferences.
• Mentor postgraduate students and foster a collaborative research environment.

Required profile

• A PhD in ecology, marine science, environmental science, applied mathematics, complex systems or a related discipline.
• Demonstrated expertise in network analysis and/or ecological modelling.
• Strong quantitative and computational skills (e.g. R, Python, Bayesian modelling, graph theory, statistical modelling).
• A strong publication record relative to career stage.
• Excellent communication and collaboration skills.

What we offer

• Remuneration of $99,788 - $103,024 per year depending on skills and experience.
• Flexible employment practices, including working from home and flexible hours.
• Up to 6.75% company superannuation scheme.
• Five weeks' annual leave.
• Career development programmes, discounted car parking, parental leave allowance, childcare and other service discounts.

Applications close on 6 November 2026 and must be submitted online, with a cover letter, CV, contact details for two academic referees, examples of publications and an expected start date. Candidates can ask the named Senior Lecturer in Marine Science questions privately before applying.