The Faculty of Life Sciences & Medicine is one of the largest and most successful centres for research and education in the UK. The Faculty was created as a result of the merger of elements of the School of Biomedical Sciences with the School of Medicine. The merger brings together basic, translational and clinical scientists to provide new cross-School research collaborations while optimising the deployment of teaching expertise across the Faculty. The Faculty has unparalleled expertise in basic, translational and clinical research; analytical and forensic science; asthma and allergy; biophysics and cell biology; 

cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and women’s health. We also have thriving research programmes in global health, and health and social care.

 

Within FoLSM, the School of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and pathophysiology as well as development of new diagnostic tools and therapies. In this way, basic science can be rapidly translated into clinical applications (and vice versa). The School consists of eight research departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare. Our staff and students comprise physicists, chemists, biologists, engineers, computer scientists, mathematicians and clinicians working together in a highly cross-disciplinary way. The chemists and biologists develop new contrast agents and radiopharmaceuticals for molecular imaging; the physicists and engineers develop imaging hardware and instrumentation; and the computer scientists and mathematicians develop image processing and computational modelling methodologies; meanwhile, the clinicians apply them in the clinic in a wide range of areas, such as cardiology, vascular surgery, cancer, neurology, paediatrics, nuclear medicine and radiology. This interdisciplinary group encourages the generation of projects far beyond classic research by combining the skills and equipment of basic scientists with those of clinical researchers. Our proactive approach to collaboration with other departments and Schools, both in basic sciences and clinical sciences, means that we widen the use of imaging and maximise the benefit to patients. There is a close and vital relationship in our work between problem solving in clinical and biomedical application areas and methodological research in the basic disciplines.

We are looking to appoint two exceptional academics at Lecturer, Senior Lecturer, Reader or Professor level (commensurate with experience and appointment level) to develop and lead ambitious, complementary research programmes in in biomedical imaging methods. The posts are intended to strengthen core methodological expertise in areas including AI-enabled image acquisition and reconstruction, physics-informed AI and AI-enabled quantitative imaging. We are particularly seeking candidates who can take full advantage of the extensive data generation capabilities we have, including multi-coil k-space data from 8 whole body MRI scanners, list mode data from 2 Total body PET systems and sinogram/projection data from a photon counting CT.  Candidates will be favoured whose work can enhance existing strengths and strategic needs within the School notably cardiovascular MRI, but also including fetal and perinatal MRI, cancer imaging, multimodal imaging and related areas. Candidates do not need to cover all areas; we are seeking complementary appointments across the two posts.

 

The post holders will work closely with colleagues across the Research Departments of Imaging Physics & Engineering, Cardiovascular Imaging, Biomedical Computing, Early Life Imaging and Digital Twins for Healthcare, and with clinical and industry partners. There will also be scope to extend methods to other areas aligned with School strategy.

 

The appointees will be expected to establish independent and externally funded research programmes, publish in high profile peer reviewed journals, supervise postgraduate students and research staff, and contribute to the School of BMEIS educational portfolio through undergraduate and postgraduate teaching.

 

These are two full time posts (35 hours per week), and you will be offered indefinite contracts. Appointments will be made at Lecturer, Senior Lecturer, Reader or Professor level according to experience and track record.