Research Studentship in Deep Learning for Medical Imaging

Research Studentship in Deep Learning for Medical Imaging PULSE_AN_2017

3.5-year DPhil studentship starting October 2017

Research Summary

We are seeking a DPhil (PhD) student to join the research group led by Professor Alison Noble OBE FREng at the Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, as part of the European Research Council funded Advanced Grant project “Perception Ultrasound by Learning Sonographic Experience (PULSE)”.

You will be part of an inter-disciplinary team of engineers and clinicians working on the research and development of next generation ultrasound systems which will be evaluated in the context of clinical obstetrics.

The ambitious objective of the project is to explore how the integration of perceptual cues derived from observing sonographers in the real-world can be utilized to make ultrasound imaging and image interpretation easier for the non-specialist.

The doctoral research will concern developing computer algorithms to automatically and accurately analyse the content of ultrasound images and videos, involving Deep Learning methods.  You will develop novel computer vision and learning algorithms that will be evaluated in the context of supporting non-experts in scanning and performing diagnosis.

You should possess a very good first degree in engineering or computer science (or have completed one before starting the DPhil), have strong computational and mathematical skills, and have experience in theoretical and practical image processing and analysis. Evidence of ability to conduct high quality research commensurate with experience (for example a first degree dissertation) is required and will be discussed at interview (do not sent dissertations). You will be an excellent communicator (oral and written), enjoy the challenge of tackling unsolved problems that may have positive impact on healthcare worldwide, and like working as part of an inter-disciplinary academic research team.

Award Value

The value of the studentship is £22,000 per year. The student will be responsible for covering the cost of university and college fees.

Eligibility

This studentship is open to all applicants.

Candidate Requirements

Prospective candidates will be judged according to how well they meet the following criteria:

  • Have a very good first degree in engineering or computer science (or have completed one before starting the DPhil),

  • Have strong computational and mathematical skills,

  • Have experience in theoretical and practical image processing and analysis.

  • Provide evidence of ability to conduct high quality research commensurate with experience (for example a first degree dissertation). This will be discussed at interview (do not sent dissertations).

  • Be an excellent communicator (oral and written).

  • Provide evidence of ability to work in a team.

  • Interest in healthcare applications of computational methods.

The following skills are desirable:

  • Knowledge of machine learning.

  • Knowledge of computer vision.

  • Knowledge of basic principles of medical imaging.

Application Procedure

Candidates must submit a graduate application form and are expected to meet the graduate admissions criteria.  Details are available on the course page of the University website at www.ox.ac.uk/admissions/graduate/courses/mpls/engineering-science.

Please quote PULSE_AN_2017 in all correspondence to the Department and in your graduate application.

Informal enquiries may be addressed to Professor Alison Noble (alison.noble@eng.ox.ac.uk). Please note that applications sent directly to this email address will not be accepted.