We are recruiting 10 full professors to establish their research groups at Queen Mary University of London. These permanent academic positions will further strengthen our rapidly expanding, world leading research following an excellent performance in the latest UK Research Excellence Framework (REF 2021) in which Queen Mary was ranked 7th in the UK.
Queen Mary provides an outstanding environment for collaborative research, linking with colleagues across all three faculties and supported by partnerships with industry, NHS and other stakeholders.
We are looking for highest quality professorial candidates who will establish successful research groups delivering highest quality research outputs, impact and training. Candidates will be supported with competitive start-up packages and the possibility to bring with them additional academic staff.
Research is expected to align with Queen Mary’s broad university research highways and integrate with existing research within the Faculty of Science and Engineering.
We are particularly interested in research activity that aligns our newly formed Faculty Research Centres and Strategic Research Themes (see below).
Chromosome segregation, cell structure, cell signalling, functional genomics, medical genetics, cell and structural biology related to human health, enzymes, biosynthetic pathways, biologics, photosynthesis, engineering biology, synthetic biology systems, industrial biotechnology, biomolecular simulation, and artificial intelligence application in cell biology, genomics and drug discovery.
Psychology, cognitive science, human-computer interaction, mental health, interaction design, cyberpsychology, social signal processing.
Synthetic biology, medical imaging, organ-on-a-chip technology, biomechanics, tissue engineering and regenerative medicine, computational bioengineering, biofluids, surgical and healthcare robotics, rehabilitation engineering, implantable devices, and artificial intelligence and digital twins applied to healthcare.
Fundamentals and applications AI, machine learning and data science such as AI for drug discovery, AI applied to space science, generative AI, explainable and responsible AI, non-equilibrium statistical physics and stochastic modelling.
Sustainable manufacturing, sustainable energy systems, renewable energy engineering, sustainable transport, systems engineering for net zero, thermodynamics and fuels, robotics for sustainable energy, and artificial intelligence for transport and energy applications.
Examples include cosmology, heliophysics, space and astrophysics, aerospace engineering, network science, quantum technology, software engineering, computer science, electronic materials, digital and microwave electronics, cyber security, fintech, pure mathematics, number theory
Candidate applications should consist of a completed online application form and accompanying CV.
Within the online application you will be required to provide an outline of your research vision and funding strategy to build your research group at Queen Mary.
The deadline for initial applications is 23:59 on 12 November 2023.
Posts will be based in one of the five schools within the Faculty of Science and Engineering:
Find out more about Queen Mary University of London and the Faculty of Science and Engineering.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. We particularly welcome applications from individuals who identify as Black, candidates with a disability, and from women in all stages of life, including pregnancy and maternity leave, as these groups are currently under-represented in these academic fields at Queen Mary. While the roles are full time, we positively welcome applications from those who wish to work part time. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. Job share requests for this post will be considered, so please state this clearly on your application if appropriate. We are also open to considering applications from candidates wishing to work flexibly.
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