Research Assistant /Associate in Machine Learning for Medical Imaging
We are seeking to appoint a Research Assistant / Associate to develop innovative image analysis and machine learning methods. The post is funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 757173, project MIRA, ERC-2017-STG). The Biomedical Image Analysis Group (BioMedIA) is part of the Department of Computing which is a leading department of Computer...
Job listing information
- Reference ENG00895
- Date posted 11 July 2019
- Closing date 25 August 2019
We are seeking to appoint a Research Assistant / Associate to develop innovative image analysis and machine learning methods. The post is funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 757173, project MIRA, ERC-2017-STG).
The Biomedical Image Analysis Group (BioMedIA) is part of the Department of Computing which is a leading department of Computer Science among UK Universities. Imperial College has the greatest concentration of high impact research of any major UK university, according to the Research Excellence Framework (REF) 2014. Imperial was also awarded “Gold” according the last Teaching Excellence Framework (TEF) 2017. The mission of the BioMedIA group is to develop novel, computational techniques for the analysis of biomedical images. For further information about the group and related projects see: http://biomedia.doc.ic.ac.uk/.
Project MIRA (http://project-mira.eu) is devoted to redefining the state-of-the-art in medical image analysis by developing a new generation of machine intelligence using powerful techniques of representation learning. The post holder will work in the following areas: robust deep learning, causality in medical imaging, multi-task / multi-modal learning, geometric deep learning, Bayesian machine learning, generative modelling for clinical applications such as disease detection and semantic segmentation.
Duties and responsibilities
The appointed Research Assistant / Research Associate will undertake high quality research in machine learning for medical imaging. The successful candidate will be expected to have an excellent background in image computing, statistical machine learning and scientific programming. Experience in deep learning is beneficial. The researcher will be a member of the BioMedIA Group based at the South Kensington campus, and will be supervised by Dr Ben Glocker. The research is in close collaboration with clinical partners.
- Knowledge of a broad range of techniques in medical image computing, computer vision and machine learning
- Preference will be given to applicants with a proven track record in medical image analysis and machine learning
- Excellent communication skills and be able to organise your own work with minimal supervision and prioritise work to meet deadlines
- At Research Assistant level you will have a good undergraduate degree or MSc (or their equivalents) in a closely related discipline with particular expertise in medical image computing, computer vision or machine learning, or equivalent research, industrial or commercial experience
- At Research Associate level you must have been awarded a PhD (or equivalent) in a subject relevant to the post with particular expertise in medical image computing, computer vision or machine learning
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £34,397 - £37,486 per annum.
In addition to completing the online application, candidates should attach:
- A full CV
- A two-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
- Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.
Should you have any queries regarding the application process please contact Jamie Perrins by email to: firstname.lastname@example.org
For academic queries about the post please contact: Dr Ben Glocker (email@example.com)
For technical issues when applying online please email firstname.lastname@example.org
Committed to equality and valuing diversity, we are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/
The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/
About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
All Imperial employees are expected to follow the 7 principles of Imperial Expectations:
- Champion a positive approach to change and opportunity
- Communicate regularly and effectively within, and across, teams
- Consider the thoughts and expectations of others
- Deliver positive outcomes
- Encourage inclusive participation and eliminate discrimination
- Develop and grow skills and expertise
- Work in a planned and managed way
In addition to the above, employees are required to observe and comply with all College policies and regulations.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
Athena SWAN Silver Award 2016
We renewed our Silver in the April 2016 submission round. Recognising advancement of gender equality.
Disability Confident leader
Imperial is a Disability Confident leader
Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people