We are seeking a talented Lecturer with a strong background in research and teaching who can apply their skills, knowledge and experience to drive forward the research agenda in Computational Medicine. The post will be based within the Division of Informatics, Imaging and Data Sciences at the Centre for Computational Imaging and Modelling in Medicine (CIMIM) led by Professor Frangi, which has an international reputation with a broad portfolio in computational imaging and image-driven biomechanics. CIMIM is also part of the Christabel Pankhurst Institute for Health Technology Research and Innovation and the Institute for Data Science and Artificial Intelligence.
CIMIM is interested in recruiting collegial and proactive new members, diversifying our Division's expertise, methods, and technology in medical image analysis to enable large-scale image-based phenotyping, imaging biomarkers engineering, virtual imaging trials, and novel in silico trials of medical devices within the broader context of regulatory science. From a methodological standpoint, we aim to expand our core and translational expertise in medical image analysis. Areas of interest are representation learning from multimodal medical imagery and other data sources, AI-enabled text and radiological data integration, generative AI methods for building virtual patient populations, causality and fairness in ML for in silico trials, geometric deep learning, and physics-informed ML for computational physiology.
What we offer
The University of Manchester is committed to developing its computational biomedical engineering and artificial intelligence capabilities (www.digitalfutures.manchester.ac.uk). Manchester has recently made significant investments, including top recruitments in fundamental and interdisciplinary AI, leading to the creation of the Centre for AI Fundamentals (www.ai-fun.manchester.ac.uk) and the Institute for Data Science and Artificial Intelligence (www.idsai.manchester.ac.uk). More broadly, our Healthcare Engineering (https://sites.manchester.ac.uk/healthcare-engineering) footprint is expanding. The recent creation of the Christabel Pankhurst Institute (www.pankhurst.manchester.ac.uk) provides a focus for the University’s health technology research and innovation. Alongside a focus on science and engineering, emphasising digital technologies, AI and advanced materials, the Institute fosters a multidisciplinary research approach, achieving global impact while acting locally in collaboration with Health Innovation Manchester (www.healthinnovationmanchester.com). The post holder will also benefit from the impact of the recent announcement that the UK Biobank will move to Manchester Science Park following £127.6m funding from UKRI. Finally, Manchester is a vibrant city with a devolved health system and leading the north in innovation and entrepreneurship with actors like Manchester Innovation Factory (www.uominnovationfactory.com) and Northern Gristone (www.northern-gritstone.com).
What you’ll need
The successful candidate will be a talented, self-motivated academic who can deliver high-quality research outputs, including high-impact publications and thrives in solving the most pressing societal challenges. This is an excellent opportunity to utilise your research skills, knowledge, and experience to significantly contribute to computational medicine and regulatory science and innovation. You will be based at the University of Manchester, with the possibility of occasional travel to work with partner Universities, NHS organisations and international conferences and collaborators.
Informal enquiries can be made to Prof Alex Frangi.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Re...@manchester.ac.uk.
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Alex Frangi
Email: alejandr...@manchester.ac.uk
General enquiries:
Email: People.re...@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.