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Position: Research Fellow in Advanced Computational Imaging
Institution: University College London
Department: Department of Medical Physics and Biomedical Engineering
Location: London, United Kingdom
Duties: We are seeking a research fellow to work on developing advanced computational modelling techniques to analyse fetal and neonatal imaging for predicting functional outcome. As part of their role, the candidate will develop techniques for analysing novel MRI imaging data, correcting motion artefacts and developing novel technology for image segmentation and analysis. The candidate will also be in charge of integrating the developed algorithms into our open-source software platforms
Requirements: Applicants must have a PhD or about to submit a PhD in computer vision, medical image computing, biomedical engineering, or a comparable subject. Strong expertise in programming high-level languages (e.g. C/C++, python, Matlab) and Expertise in working with magnetic resonance imaging. Experience of working within a clinical environment or closely with medical staff is desirable
   
Text: Research Fellow in Advanced Computational Imaging, - Ref:1800075 Click here to go back to search results Apply Now UCL Department / Division Department of Medical Physics and Biomedical Engineering Specific unit / Sub department GIFT-Surg Research Group Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?42,701 per annum Duties and Responsibilities UCL is one of the foremost universities in Britain and the world. The Department of Medical Physics & Biomedical Engineering is proud to host internationally-leading research groups covering a broad range of activities and spread over several sites. Our staff and students have a diverse range of interests and expertise, covering many areas of physics, engineering, medicine, physiology, computer science, and mathematics. This provides a highly stimulating multidisciplinary environment for learning and for scientific research. In addition to our research activities, we run a variety of undergraduate and graduate degree programmes. We are seeking a research fellow to work on developing advanced computational modelling techniques to analyse fetal and neonatal imaging for predicting functional outcome. As part of their role, the candidate will develop techniques for analysing novel MRI imaging data, correcting motion artefacts and developing novel technology for image segmentation and analysis. The candidate will also be in charge of integrating the developed algorithms into our open-source software platforms. This position is available for 12 months in the first instance. Key Requirements Applicants must have a PhD or about to submit a PhD in computer vision, medical image computing, biomedical engineering, or a comparable subject. Strong expertise in programming high-level languages (e.g. C/C , python, Matlab) and Expertise in working with magnetic resonance imaging. Experience of working within a clinical environment or closely with medical staff is desirable. Appointment at Grade 7 is dependent upon having been awarded a PhD. Or if about to submit a PhD, the appointment will be at Grade 6B (?30,922 - ?32,607 per annum salary, inclusive of London Allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification can be accessed at the bottom of this page, please read these carefully before applying. Further information about the Department of Medical Physics and Biomedical Engineering can be found here http://www.ucl.ac.uk/medphys/ and GIFT-Surg www.gift-surg.ac.uk . To apply for the vacancy please click on the ?Apply Now? button below. For informal queries about the position, please contact Dr Andrew Melbourne on a.melbourne@ucl.ac.uk . If you have any queries regarding the application process, please contact Tracy Pearmain on tracy.pearmain@ucl.ac.uk . UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 22 Apr 2019 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description and Person Specification Apply Now
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