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Position: Research Assistant/Research Fellow in Machine Learning for Active Implant Control
Institution: University College London
Department: Division of Surgery and Interventional Science
Location: London, United Kingdom
Duties: The post holder will be responsible for leading the analysis of existing data, developing the larynx replacement's control strategy using machine learning, and developing and testing software for the EMG recording. The post holder will also contribute to the collaborative preparation of progress reports and presentations, and scientific publications. All tasks are to be accompanied with the production of technical reports detailing the work done. The process of documenting and tracking versions and changes is particularly critical as we are developing a medical device
Requirements: The post holder should possess a degree in computer science, electronics engineering, or other engineering discipline (the focus is on data analysis and control), or equivalent experience. Knowledge of control theory, statistics and machine learning are essential. In addition, experience of developing control algorithms using biosignals and machine learning is desirable. They must be able to demonstrate excellent interpersonal, oral and written communication skills, be able to manage time and work to deadlines and have a constructive approach to collaboration and responsibilities as part of a team. For the appointment to be made at Research Fellow, the post holder must have a master's or postgraduate degree, or equivalent relevant experience
   
Text: Research Assistant / Research Fellow in Machine Learning for Active Implant Control, - Ref:1772614 Click here to go back to search results Apply Now UCL Department / Division Division of Surgery and Interventional Science Specific unit / Sub department Research Department of Orthopaedics and Musculoskeletal Science Location of position London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) Grade 6b ?30,922 - ?32,607 per annum Grade 7 ?35,328 - ?42,701 per annum Duties and Responsibilities Robovox is a large multi-disciplinary project funded by the Wellcome Trust, aimed at producing an artificial larynx to improve patient quality of life after laryngectomy. Our team oversees the development of the artificial larynx's control system, from decoding the user's intention through analysis of EMG of muscles in the throat and chest, to the development of a control algorithm, and implementation of the system, including the development of an implantable EMG recording device. The appointed person will be part of a team led by Dr Anne Vanhoestenberghe, and will work closely with Dr Henry Lancashire and Dr Kylie de Jager. The post holder will be responsible for leading the analysis of existing data, developing the larynx replacement's control strategy using machine learning, and developing and testing software for the EMG recording. The post holder will also contribute to the collaborative preparation of progress reports and presentations, and scientific publications. All tasks are to be accompanied with the production of technical reports detailing the work done. The process of documenting and tracking versions and changes is particularly critical as we are developing a medical device. The post is initially funded for 12 months. Key Requirements The post holder should possess a degree in computer science, electronics engineering, or other engineering discipline (the focus is on data analysis and control), or equivalent experience. Knowledge of control theory, statistics and machine learning are essential. In addition, experience of developing control algorithms using biosignals and machine learning is desirable. They must be able to demonstrate excellent interpersonal, oral and written communication skills, be able to manage time and work to deadlines and have a constructive approach to collaboration and responsibilities as part of a team. For the appointment to be made at Research Fellow, the post holder must have a master's or postgraduate degree, or equivalent relevant experience. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy, please click on the 'Apply Now' button below. For further details please do not hesitate to contact Dr Anne Vanhoestenberghe ( a.vanhoestenberghe@ucl.ac.uk ) or Dr Henry Lancashire ( h.lancashire@ucl.ac.uk ) If you are unable to apply online please contact departmental administrator, Kathryn Knapp ( k.knapp@ucl.ac.uk ) quoting the job reference. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 16 Jan 2019 Latest time for the submission of applications 23.59 Interview date TBC 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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