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Position: Research Assistant/Associate - Biomedical Image Analysis and Machine Learning
Institution: Imperial College London
Location: London, United Kingdom
Duties: The appointed Research Assistant/Research Associate will undertake high quality research in biomedical image analysis and machine learning. To plan and carry out research in accordance with the project aims To assist with the analysis of data. To ensure the validity and reliability of data at all times. To maintain accurate and complete records of all findings. To assist with the writing of reports to research sponsors. To present findings to colleagues. To provide advice to other staff and students. To assist with the publication of findings. To attend relevant workshops and conferences as necessary. To develop contacts within the College and the wider community. To promote the reputation of the Group, the Department and the College
Requirements: Knowledge of a broad range of techniques including medical image computing, computer vision or machine learning. Experience of dealing with specific groups of people, e.g. sponsors, patients. At Research Assistant level you will need to have a good (1st or 2.1) undergraduate degree in a relevant discipline with a particular interest in medical image computing, computer vision or machine learning
   
Text: Research Assistant /Associate - Biomedical Image Analysis and Machine Learning Apply now Save this job Job summary Fixed Term appointment up to 30 months 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... Job listing information Reference ENG00433 Date posted 10 July 2018 Closing date 31 August 2018 Key information about the role Location South Kensington Campus (map) Position type Full time, fixed term Salary £32,380 - £44,220 plus benefits Department Department of Computing Category Researcher / Non Clinical Researcher Job description Job summary Fixed Term appointment up to 30 months 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/. 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). Project MIRA 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. Key to the project is its unique access to some of the largest and most comprehensive imaging databases. An overarching objective is to harvest information from population data to construct the most advanced statistical models of anatomy and linking these models with demographics, lifestyle, genetics and disease. See also: http://wp.doc.ic.ac.uk/bglocker/project/project-mira/ Duties and responsibilities The appointed Research Assistant / Research Associate will undertake high quality research in biomedical image analysis and machine learning. The successful candidate will be expected to have an excellent background in image computing, statistical machine learning and scientific programming. Experience in deep learning and semantic image segmentation are beneficial. The researcher will be a member of the Biomedical Image Analysis Group (BioMedIA) based at the South Kensington campus, and will be supervised by Dr Ben Glocker. The research is in close collaboration with clinical partners. Essential requirements To apply, you will need to have: • Knowledge of a broad range of techniques including medical image computing, computer vision or machine learning • Experience of dealing with specific groups of people, e.g. sponsors, patients • Preference will be given to applicants with a proven track record in medical image analysis, deep learning and scientific programming • 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 need to have a good (1st or 2.1) undergraduate degree in a relevant discipline with a particular interest in medical image computing, computer vision or machine learning • At Research Associate level you must have been awarded a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medical image computing, computer vision or machine learning Further information *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £32,380 - £34,040 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: j.perrins@imperial.ac.uk For academic queries about the post please contact: Dr Ben Glocker (b.glocker@imperial.ac.uk). Documents MIRA RA JD.doc 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. Additional information 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.
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