Philips Internship: Machine Learning for Atherosclerosis Assessment in Remote Worker, United Kingdom
Are you the enthusiastic, talented intern we’re looking for?
The project will be part of a larger effort to develop a research tool for imaging based assessment of atherosclerosis (the NIAGARA project). Atherosclerosis is a chronic disease of the vasculature. Inflammation of arterial vessel walls can lead to narrowing of the blood vessels, inhibiting blood flow or to the formation of plaque. Ruptured plaques can block blood supply downstream, leading to myocardial infarction or stroke.
Understanding the development of atherosclerosis is essential in order to fight cardiovascular disease globally. Magnetic Resonance Imaging is a very promising technique to image the atherosclerotic vessel wall non-invasively. Advanced analysis techniques are required for accurate risk stratification.
You will evaluate and help to co-develop a first version of the prototype. Different projects are available within the scheme:
Investigate and develop new machine learning algorithms for vessel wall segmentation applied to images obtained by Magnetic Resonance Imaging.
Investigate and develop new machine learning algorithms for the characterization and segmentation of atherosclerotic plaque composition from Magnetic Resonance Imaging.
For both projects, specifically deep learning techniques will be investigated. Necessary modification of the source code (C#) will be implemented, however, prototyping in other languages (eg. Python) is possible. The results determined by the automated algorithms will be compared to gold standard measurements techniques in a retrospective study. The results will be submitted to a scientific journal.
Your main responsibilities are:
Be able to run the Philips’ workstations independently, and do image analysis
Be actively involved in the NIAGARA research project, both within Philips research and with academic and clinical partners
Collaborate with medical doctors and physicists of St Thomas Hospital in evaluating new clinical applications
Contribution to scientific papers and research prototype development
Philips and King’s College London have a long-standing history of collaboration in medical imaging research, which has led to several high impact scientific publications and breakthrough technology developments. You will be working in a hospital setting in the Department of Biomedical Engineering as part of an interdisciplinary team of researchers from both Philips and King’s College London.
The position is based at St Thomas Hospital, located in central London. You will be embedded into a cross functional team consisting of clinical researchers, engineers and SW developers.
Philips Research is the source of many advanced developments in Healthcare, Lifestyle and Technology. Building on 100 years’ experience in industrial research and our world-leading patent position, we are dedicated to meaningful innovations. In the healthcare domain, we are enhancing imaging and monitoring systems, as well as exploring innovative personal healthcare.
The KCL Department of Biomedical Engineering is among Europe’s foremost research institutions on the basic research and clinical translation of medical imaging technologies.
King’s College London is one of the world’s top 20 universities and is part of King’s Health Partners, the UK’s largest Academic Health Sciences Centre, in partnership with 3 leading NHS Foundation Trusts: Guy’s and St Thomas’, King’s College Hospital and the South London and Maudsley.
We offer a challenging and innovative environment at the cutting edge of clinical development. You will be working in a hospital setting in Central London within a team of experienced researchers with diverse clinical and technological backgrounds.
You will have the opportunity to work with researchers and developers from both academia and industry, contributing to the development of a new software prototype to improve the diagnosis and treatment of cardiovascular disease. The possibility to complete your Master thesis within the scope of this project can also be discussed.
Duration: 6 months
We prefer students able to start per beginning of April/May 2017.
We are looking for
To be successful in this internship placement we are looking for you:
Currently studying towards your Master in:
(Medical) Image Computing/Computer Vision
You are required to be fluent in English both verbally and writing
Solid knowledge of object-oriented programming (C++, Java, C#)
Previous experience with deep learning/neural networks software (Theano, Caffe, TensorFlow) is desirable
Prior scientific work on image processing or related topics is a plus
Proven writing skills
Strong analytical and experimental skills, independent problem solver
If you recognize yourself in this profile and would like to take this challenge, we invite you to apply 19-03 - 2017 at the latest!
Required documents in order for us to continue with your application:
Cover Letter outlining your motivation and informing your availability
Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience.