Research Fellow in Deep Learning for Ultrasound Therapy

Applications are invited for a postdoctoral research position to work on applications of deep learning in ultrasound therapy within the Biomedical Ultrasound Group at UCL.

The aim of the project is to develop deep learning models capable of generating treatment plans and predicting treatment outcomes for ultrasound therapies in the brain. In the last few years, clinical trials of different ultrasound therapies have demonstrated the ability of ultrasound to destroy cells through rapid heating for the treatment of cancer, target the delivery of anticancer drugs, stimulate or modulate the excitability of neurons, and temporarily open the blood-brain barrier to allow drugs to be delivered more effectively. However, existing treatment planning techniques based on conventional numerical models can take hours or days to run. Deep learning offers significant potential to disrupt the current state of the art, and deliver tools that can make predictions in real time. A key aspect of the project will be developing tailored deep learning architectures, and analysing model uncertainty and interpretability. The project is part of a larger research program to develop treatment planning software and hardware for stimulating the brain using ultrasound.

A postdoctoral research fellow with a track record of research achievement (or progress towards it) is sought. A strong background in mathematics (e.g., in applied mathematics, engineering, or computer science) and knowledge of deep learning and inverse problems is required. Experience with some or all of the following would also be advantageous: developing application-specific deep learning architectures; working with experimental (measured) medical imaging or sensing data; and statistical shape modelling (see job description for further details).

The post offers an opportunity to conduct research at an internationally leading university and contribute to the state-of-the-art in ultrasound therapy and deep learning (the open-source k-Wave Toolbox developed by our group is widely used across academia and industry). The appointed person will work in a multidisciplinary team led by Dr Bradley Treeby. Funding for training and conference travel is also readily available.

The post is available immediately, and is initially funded for 3 years with possible extension subject to funding. The appointment will be on UCL Grade 7.

Closing date: 19th August 2019

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Research Fellow Software Developer

Applications are invited for a postdoctoral research position to work on the development of software systems for ultrasound therapy within the Biomedical Ultrasound Group at UCL.

The aim of the project is to develop a user interface and other software and algorithms to allow end-users (including doctors) to perform treatment planning for ultrasound therapy, including non-invasive brain stimulation. The developed front-end software will be deployed locally within a hospital environment, and will interface with remote HPC facilities running large-scale ultrasound simulation software being developed by our group (along with other hardware and software components). The front-end software will be used to define inputs for treatment planning simulations in an intuitive way, as well as processing and visualising simulation outputs to convey the relevant clinical information. A particular requirement is that the software is developed to satisfy regulatory requirements for medical software. The project is part of a larger research program to develop treatment planning software and hardware for stimulating the brain using ultrasound.

A research software developer with experience in computer programming using C/C++ in a scientific field is sought. Candidates must have experience in solving complex programming problems and knowledge of software development best practise. Experience with some or all of the following would also be advantageous: user interface design principles; development of user interfaces using the Qt framework; open-source image analysis libraries (e.g., VTK); medical image and scientific data formats (e.g., DICOM, HDF5); SQL databases; and developing software within a quality management system.

The post offers an opportunity to conduct research at an internationally leading university and contribute to the state-of-the-art in ultrasound therapy (the open-source k-Wave Toolbox developed by our group is widely used across academia and industry). The appointed person will work in a multidisciplinary team led by Dr Bradley Treeby. The post holder will also be an associate member of the UCL Research Software Development Group, who work with researchers across UCL to build and maintain readable, reliable and efficient research software. Funding for training and conference travel is also readily available.

The post is available immediately, and is initially funded for 2 years with possible extension subject to funding. The appointment will be on UCL Grade 7.

Closing date: 19th August 2019

Full Job Description

Further Details and Apply

Deep learning for ultrasound therapy
Therapy Planning

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