Postdoctoral Fellowship (10) at Queen Mary University of London, United Kingdom

This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen Mary across the Centre for Bioengineering, Blizard Institute, and Barts Cancer Institute.

The project will investigate the mechanisms through which breast cancer invades and colonises bone tissue using in silico models to replicate disease. We are particularly interested in the effects of exercise on the development of bone lesions, and the potential role played by mechanosensitive osteocyte cells in this condition. You will evaluate their interactions by building in silico models to establish the relationship between mechanical loading, cell imaging, in vivo micro-CT, and spatial transcriptomics, identifying the key mechanisms governing this process.

pplications are invited for a full-time Postdoctoral Research Assistant in Cardiovascular Mechanobiology (in vivo)

Cardiovascular diseases are the major cause of mortality worldwide, yet there is still a lack of effective treatments. Recent research increasingly emphasised that changes to mechanical sensing, signalling and memory, critically influences the disease onset and progression. The Iskratsch Group, at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim to investigate the role of mechanical sensing and memory in cardiovascular disease. The postholder will especially investigate vascular smooth muscle cell mechanosensing and phenotypic switching, following up on previous work of the Iskratsch Group2-5, showing a role for pressure sensing and extracellular matrix stiffness. This will involve the use of animal models for hypertension and arterial remodelling, as well as in vivo and ex vivo charcterisation of mechanosensing pathways.

1. Swiatlowska et al, Sci Adv (2022)
2. Swiatlowska et al, Adv Sci (2024)
3. Faleeva et al, Circ Res (2024)
4. Sun et al. Hypertension (2024)

A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational modelling approaches to simulate plasma-assisted combustion systems. This includes developing and validating detailed phenomenological PAC models, implementing coupled plasma–combustion chemical kinetics, and performing CFD and Large Eddy Simulations (LES) of laminar and turbulent configurations. The role will also involve analysing radical formation, flame stability, and emissions under plasma-assisted conditions.

Applications are invited for a 30 month Postdoctoral Research Associate to join DigiWeB (Digital Welfare Borders), a European Research Council funded, multicountry project examining how artificial intelligence is transforming welfare governance and migration management across Europe. The study spans the UK, the Netherlands and Sweden and investigates how automated decision-making systems shape the experiences of migrants and the practices of welfare bureaucracies.

The successful applicant will be based in the Department of Sociology, Politics and International Relations at Queen Mary University of London and will work under the supervision of Professor Rachel Humphris. They will lead in-depth ethnographic fieldwork in Sweden, undertaking interviews and participant observation to trace how welfare algorithms operate in practice. They will also contribute to comparative analysis across case study countries, support interdisciplinary collaboration, engage with external stakeholders, and play a central role in producing key research outputs.

Applications are invited for a 30-month, part-time (0.5 FTE) Postdoctoral Research Associate to support DigiWeB (Digital Welfare Borders), an ERC-funded project investigating how artificial intelligence shapes welfare governance and migration management across Europe. The role is jointly based in the School of Society and the Environment and the School of Electronic Engineering and Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias.

The successful applicant will undertake computational research, including algorithmic auditing, explainable AI (XAI) analysis and data-flow mapping, on welfare-AI systems in the UK, Netherlands and Sweden, contributing to comparative insights and high-quality project outputs. They will collaborate across disciplines, maintain secure datasets and participate in the wider research community, including Queen Mary’s Digital Environment Research Institute (DERI).