Queen Mary University of London is delighted to announce a second round of strategic recruitment within the Faculty of Science and Engineering, with 25 Lecturerships/Senior Lectureships and 5 Readerships/Professorships.
These new research-focussed permanent academic positions will further strengthen our research power following an excellent performance in the latest UK Research Excellence Framework (REF 2021).
We are specifically recruiting staff in the following key research areas.
These research areas align with faculty strategic research themes as well as the university research highways and governmental and societal priority areas. Our research is highly collaborative, linking with colleagues across all three faculties and supported by partnerships with industry, NHS and other stakeholders. Further details of the research areas are shown below.
Find out more about Queen Mary University of London and the Faculty of Science and Engineering.
This covers research into both the fundamentals and applications of AI, machine learning and data science. Applicants whose work aligns with applications of AI should submit a single application directly to the most appropriate of the six other key areas. Successful candidates will be associated with Queen Mary’s new strategic investment in a Digital Environment Research Institute (DERI). Potential Host Schools within the Faculty of Science and Engineering: EECS, SMS
This covers sustainable energy systems, renewable energy engineering, sustainable transport, systems engineering for net zero, thermodynamics and fuels, robotics for sustainable energy, sustainable manufacturing, and artificial intelligence for transport and energy applications. Potential Host Schools within the Faculty of Science and Engineering: SEMS, EECS, SPCS
This covers research topics including chromosome segregation, cell structure, cell signalling, functional genomics, medical genetics, cell and structural biology related to human health, and artificial intelligence application in cell biology and genomics. Potential Host School within the Faculty of Science and Engineering: SBBS
This covers areas of enzymes, biosynthetic pathways, biologics, photosynthesis, engineering biology, synthetic biology systems, industrial biotechnology, biomolecular simulation, artificial intelligence for synthetic biology and protein interactions, and artificial intelligence for drug discovery. Potential Host Schools within the Faculty of Science and Engineering: SBBS, SPCS, SEMS.
This multidisciplinary area covers biomechanics, mechanobiology, organ-on-a-chip technology, predictive in vitro models, tissue engineering and regenerative medicine, computational bioengineering, biofluids, surgical and healthcare robotics, digital technologies for health & social interaction, social signal processing, rehabilitation, implantable devices, and artificial intelligence applied to healthcare and bioengineering. Potential Host Schools within the Faculty of Science and Engineering: SEMS, EECS, SPCS
This area covers complex network theory, non-equilibrium statistical physics and stochastic modelling applied to interdisciplinary applications, cosmology, heliophysics, space plasma physics, plasma astrophysics, and artificial intelligence (AI) applied to space science. Potential Host Schools within the Faculty of Science and Engineering: SPCS, SMS
Key topics include cyber security, network science, quantum communications, quantum technology, cyberpsychology and artificial intelligence applications in communications. Potential Host Schools within the Faculty of Science and Engineering: EECS, SBBS, SMS , SPCS