Prof. Jun Zang is a Professor of Coastal and Ocean Engineering and the Deputy Head of Department of Architecture and Civil Engineering. She received the "Top 50 Women in Engineering" award in 2025.  

She chaired the PRIMaRE Partnership for Research in Marine Renewable Energy for two terms and has been a Board Member of PRIMaRE, an Associate Editor of the Journal of Offshore Mechanics and Arctic Engineering (OMAE) and Frontiers in Marine Science, and an Editorial Board Member of several journals.  

Her research addresses key challenges in coastal and ocean engineering for the development of offshore renewable energy and improving the resilience and adaptation of coastal areas against extreme wave conditions. 

She has led/participated in a number of national and international collaborative research projects, which include the development of fast reduced-order engineering models and open-source engineering tools for predicting extreme wave impact on offshore wind turbine foundations, breaking wave impact on coastal protection structures, optimisation and survivability analysis of offshore renewable energy devices, and the development of advanced computational fluid dynamics tools for accurate & efficient simulation of violent wave-structure interactions, and coastal & urban flooding. 

In June 2025, a fast open-access tool, SeaSwallowsTool, was released by her and her Sea-Swallows project consortium from the Universities of Bath, Oxford, Strathclyde, and Western Australia. This tool enables engineers and researchers to accurately calculate complex nonlinear wave forces on monopiles (up to 5th-order wave force harmonics) in just a few seconds on a standard laptop, compared to many hours of computations using traditional CFD models. The SeaSwallowsTool can be downloaded at https://www.sea-swallows.org/download.

Optimisation of marine renewable energy systems;

Survival analysis of marine renewable energy systems;

Resilience and adaptation of coastal zones;

Violent wave impact on coastal and offshore structures;

Advanced computational fluid dynamics;

Urban and coastal flooding and erosion