Research Associate in Ultrasound Signal Processing
We are seeking a Post-doctoral Research Associate to develop novel signal processing algorithms for tracking and surgical navigation with robotic ultrasound guidance. This recruitment is part of the research endeavour of the newly established Department of Surgical and Interventional Engineering within the School of Biomedical Engineering & Imaging Sciences that focuses on translating novel real-time multimodal imaging modalities in conjunction with novel surgical instrumentation to clinical practice.
In this role, the post holder will be responsible for the development of a novel ultrasound tracking and surgical navigation system leveraging expertise in various areas of innovative ultrasound research within the department including robotic ultrasound, ultrasound imaging, therapeutic ultrasound and ultrasonic tracking, in relation to a Trustworthy AI for Sensory-rich Surgical Robotics research pillar.
Candidates should have demonstrable experience in biomedical signal processing. Experience in ultrasound and/or medical robotics is desirable. The successful candidate is expected to disseminate their research through presenting at scientific conferences, publishing in peer-reviewed journals, and providing open-source software tools. Candidates are expected to have a good track record of scientific publications in ultrasound, medical robotics, and/or medical image analysis and computer-assisted intervention-related journals or equivalent conference publications. Candidates should have strong written and oral presentation skills.
The successful candidate will be based in the Department of Surgical and Interventional Engineering reporting to Dr Wenfeng Xia, a Lecturer specialising in Surgical and Interventional Engineering and working closely with the teams of Prof. Kawal Rhode, Dr. Laura Peralta Pereira and Dr. Antonios Pouliopoulos.
This post will be offered on a fixed-term contract for 2 years (latest end date 27 April 2024)
This is a full-time post - 100% full time equivalent
- Development of a novel ultrasound tracking and surgical navigation system
- Development of signal processing algorithms for ultrasound tracking and navigation
- Evaluate and validate the developed algorithms and system
- Present key findings at scientific conferences
- Prepare high-quality manuscripts for publication
- Liaise with key biomedical engineering and surgical collaborators at King’s College London
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
1. PhD in biomedical engineering, computer vision, surgical robotics, or a closely-related field.
2. Demonstrable experience in biomedical signal processing.
3. A track record of peer-reviewed publications in high quality scientific conferences and journals.
4. Excellent written and oral communication skills.
5. The ability to work with people from diverse backgrounds and specialties and communicate technical concepts to people from other fields.
1. Experience in ultrasound signal / image processing.
2. Experience in medical robotics.
3. Experience in software development
* Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.
This post is subject to Disclosure and Barring Service clearance.