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Research Assistants/Associates in Robotic Vision and Navigation x 2

The Hamlyn Centre for Robotic Surgery in association with Department of Computing, Faculty of Engineering/ Department of Surgery and Cancer, Faculty of Medicine

Fixed term positions up to 30th September 2018

Research Assistant salary: £32,380 to £34,040 per annum

Research Associate salary: £36,800 to £44,220 per annum

Applicants are invited to apply for two new vacancies at either Research Assistant (pre-doctoral) or Research Associate (post-doctoral) level for medical robot vision and navigation. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare. Focusing on technological innovation but with a strong emphasis on clinical translation and direct patient benefit with a global impact, the centre is at the forefront of research in imaging, sensing and robotics for addressing global health challenges associated with demographic, environment, social and economic changes.

The positions are created by a major EPSRC Manufacturing in Healthcare Technologies grant to the Centre for developing novel robotic platform for creating personalised stent graft for endovascular intervention. The project involves the development of a new stent-graft sewing robot incorporating cooperative control combined with a real-time vision system for automatic 3D manufacturing. The project is to be carried out by a multidisciplinary team with complementary research skills in robotics, sensing, imaging, and endovascular intervention.

We are looking for outstanding applicants in any of the following areas of research:

· Robotic vision, particularly in real-time 3D vision systems;

· Medical image computing and image guided intervention, particularly for cardiovascular procedures;

· Statistical shape modelling and ideally with combined skills in computational fluid dynamics simulation and analysis.

Experience in system integration and practical clinical/in vivo deployment would be an advantage.

For a Research Assistant level position, you must have a Masters degree (or equivalent) in Electronic Engineering, Computer Science, Biomedical Engineering, Physics, Chemistry/Biochemistry, or a related discipline. For a Research Associate position, you must have a Ph.D. degree (or equivalent) in related disciplines. You will need to have considerable experience in interdisciplinary research and managing large integrated development projects.

Applicants with strong experience and a proven track record in one or more of the above research areas are encouraged to apply. A high level of analytical and computing skills is required. Preference will be given to applicants with a proven research record and publications in relevant areas. Applicants must be fluent in English. The position is based at the South Kensington campus.

For details of the project click here.​ or email Raphaele Raupp for informal enquiries or background of the project.

How to apply:

Our preferred method of application is online via our website http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number EN20170266LE into “Keywords”). Please complete and upload an application form as directed.

Please include:

· An application form

· A full CV

· A 1 page statement indicating why your expertise is relevant

For queries regarding the application process contact Georgina Tennant: g.tennant@doc.ic.ac.uk

Closing date: 18 September 2017

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Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people

Research Associate/Senior Research Associate in Computer-assisted Interventions/Software Engineering 

At the Wellcome EPSRC Centre for Interventional and Surgical Sciences, our mission is to translate developments from flagship research projects into clinical tools and bring the duration to first-inhuman clinical studies under 5 years.

The post-holder will develop sustainable algorithms and research programmes including machine learning, testing of software for clinical deployment, registration of multi-modal medical images, tracking of surgical tools, workflow analysis. They will contribute to the Centre's strategic scientific objectives, and maximise research effectiveness by fostering collaborative links and maximising opportunities.

The appointment is funded for 2 years in the first instance.

In our System Integration innovation support theme, we require engineers with in-depth software engineering expertise, and capabilities in system integration. For our three fundamental research themes Physiological Navigation - Clinician Experience - Precision Instrumentation , we require researchers/engineers with a broad set of technical expertise underpinning the Centre’s software platform and research aspirations. More specifically, we seek applications from researchers/software engineers with expertise in interventional imaging, robotics/instrumentation, and sensing applications.

To be appointed at Grade 8 Senior Research Associate candidates must be able to demonstrate experience leading a team of researchers and have some evidence of being invited to present at international conferences. An excellent publication record is necessary, while experience of serving on peer-review committees would be desirable.

The Appointees will have a strong mathematical and/or engineering background and relevant experience in one or more research areas listed within the person specification.

Interested candidates are welcome to contact either Professor Sebastien Ourselin or Dr Tom Vercauteren, email: tig-applications@cs.ucl.ac.uk for an informal discussion.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the application process please contact Alexandra Ferrell alexandra.ferrell@ucl.ac.uk.

Closing date: 26th August 2017.  Latest time for the submission of applications: 23:59.

Interview Date: TBC

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PhD position in Computer Science / Biomedical Engineering 

The Machine Learning and Data Analytics Lab at the Friedrich-Alexander-University ErlangenNürnberg (FAU) invites applications for a PhD position in Computer Science / Biomedical Engineering. We are about to start a three-year project on Individualized, Sensor-based Diagnostics and Therapy Monitoring for Mobility Impairment Analysis Background: Analysis of mobility impairment from biomedical (motion) sensors is an emerging topic in computer science and biomedical engineering. This PhD position is funded through the interdisciplinary “Medical Valley Award” project co-supervised at the Faculty of Engineering and the Faculty of Medicine at the FAU. The focus is to develop state-of-the-art wearable computing, biomedical signal analysis and machine learning systems to assess diagnostic validity and therapy success in neurologic movement disorders with a focus on Parkinson’s disease. The sensor-based movement information will be complemented by further telemedical diagnostic approaches (video, activity, speech, …) to combine continuous detection of mobility impairment with state-of-the-art diagnostic assessment. The project aims at developing sensor-based signal analysis to allow an individualized, quantitative, and qualitative assessment of mobility impairment symptoms, with a focus on fall risk assessment. An interdisciplinary team of scientists conducts the project, and the successful candidate is expected to be an avid team worker. The FAU is one of the largest universities in Germany. With its five faculties, FAU offers a scope of subjects ranging from the Humanities to Law and Economics as well as Sciences, Medicine and Engineering. The FAU’s mission statement “Advance through Networks” reflects the close collaboration between the single disciplines. The Machine Learning and Data Analytics Lab at the FAU develops signal processing algorithms and wearable computing systems for biomedical applications. We specifically work on motion and biosignal analysis. We focus on mobile data from telemedical systems that have a wide range of applications. Detailed information on ongoing projects is available on our website, via our publications and upon request. Requirements: Candidates for this position should have a master or comparable degree in Computer Science or a related discipline (Electrical Engineering, Biomedical Engineering, …). The ideal candidate blends technical expertise in hardware and software of wearable computing systems with an interest in biomedicine as an application area. The candidate should also be enthusiastic about building a research program including project proposals and (limited) participation in teaching at the intersection of computer science and biomedical engineering. Program details and contact for application/questions:

The project start date is September 1, 2017.

Funding is available for at least 3 years, an extension is possible. Prospective applicants should apply with a cover letter and academic CV.

Applications will be accepted until the position is filled.

Contact: Prof. B. Eskofier, Ph.D. (bjoern.eskofier (a t) fau.de)

Website: www5.cs.fau.de/research/areas/digital-sports

 

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In addition to the job opportunities advertised for specific research projects, we also support applicants for the following fellowships to work within the centre:

Please contact Miss Raphaele Raupp if you want to discuss specific details about any of the fellowships listed above