DPhil (PhD) Research Studentship in Deep Learning for Medical Imaging

3.5-year DPhil (PhD) studentship starting October 2019

Research Summary

We are seeking a DPhil (PhD) student to join the research group led by Professor Alison Noble OBE FRS FREng at the Institute of Biomedical Engineering, 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 (eye tracking and probe motion) 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 multi modal deep learning based image analysis algorithms to automatically and accurately analyse medical ultrasound scans. Specifically, the research involves integrating eye movement, hand motion and ultrasound video data to build models of actions and tasks. Developed computer vision and machine learning algorithms will be evaluated in the context of supporting non-experts in scanning and performing clinical decision-making tasks.

You should possess a very good first degree in engineering or computer science (or have completed one before starting the PhD), 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 send dissertations as part of your application please). You will be an excellent communicator (oral and written), enjoy the creative challenges of tackling unsolved problems that may have positive impact on healthcare worldwide, and like working in a team.

Award Value

The value of each studentship is £22,400 per year. The student will be responsible for covering the cost of university and college fees from the studentship.

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 PhD)
  • 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


For further details about the studentship, and information on how to apply, please see https://www.eng.ox.ac.uk/study/research-studentships/

Informal enquiries may be addressed to Professor Alison Noble

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.

Please quote 19ENGBIO_AN in all correspondence and in your graduate application.

Application deadline

9 August 2019