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: email@example.com 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 firstname.lastname@example.org.
Closing date: 26th August 2017. Latest time for the submission of applications: 23:59.
Interview Date: TBC
UCL Taking Action for Equality.
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)
In addition to the job opportunities advertised for specific research projects, we also support applicants for the following fellowships to work within the centre:
- Imperial College Junior Research Fellowships
- Fellowships by the EPSRC, Royal Academy of Engineering, Royal Society (such as University Research Fellowships and Newton International Fellowships), The Wellcome Trust, the Leverhulme Trust, and the Marie Curie Fellowships of the European Commission.
Please contact Miss Raphaele Raupp if you want to discuss specific details about any of the fellowships listed above