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View All Vacancies

Research Associate (fixed-term role)


Salary:  Starting from £32,548, rising to £38,833
Placed On:  Thursday 15 March 2018
Closing Date:  Monday 23 April 2018
Interview Date:  Friday 04 May 2018
Reference:  CA5711

Malaria affects hundreds of millions of people per year, and is often diagnosed with manual microscopy, which is labour-intensive and hard to quality-control. This project, funded by the Global Challenges Research Fund, will use automated, low-cost, 3D printed microscopes to provide accurate and high-throughput diagnosis for Malaria in ODA countries. The project team includes the Universities of Bath and Cambridge, and Ifakara Health Institute in Tanzania.  We will build on our open source hardware designs to develop low cost, fully automated microscope hardware that can acquire images consistently and efficiently. The goal of this position is to automate the analysis of the images/video obtained by the microscopes, producing quantitative results that will support medical workers in making diagnoses.  You will work with colleagues with expertise on the clinical and hardware aspects of the project, enabling you to focus on the computer vision challenge.

This is a particularly exciting project since, apart from the humanitarian and societal impacts, the research challenges necessitate a fundamental contribution to state-of-the-art computer vision. We propose to build upon our recent research in Bayesian deep learning to create new models that overcome the limitations of existing CNNs by propagating uncertainty throughout the network (and generative architecture) to allow models to be trained that maximise the efficiency of the training data as well as producing interpretable outputs, with associated confidences, that will enable their use in clinical settings.  This work will also be of interest to the CVPR/ICLR/NIPS/ICML communities.

In addition to the exciting research, the position offers the chance to see your computer vision research running inside an innovative system that will benefit real people. You will join a multi-disciplinary team spanning the departments of Physics and Computer Science at Bath, becoming a member of two world-leading research groups.  There will be opportunities for involvement with the hardware design and control as well as to interact with our clinical and engineering collaborators in Cambridge, Bath, and Tanzania.  Interested candidates will be able to travel to Tanzania, though this is not a requirement to take up this role in the project.

You will join the vibrant Visual Computing and Machine Learning group at Bath which comprises around 30 doctoral students, 10 post-doctoral researchers and 8 academics and presents many opportunities for collaborative work and shared publications. In Physics, you will be a member of the Centre for Photonics and Photonic Materials, a 30-strong centre of excellence in optics and photonics with a track record of high profile publications and awards, including the recent Rank Prize.

We are working to improve the gender balance within the department’s population and particularly welcome applications from women.

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:
The University of Bath is an equal opportunities employer and has an excellent international reputation with staff from over 60 different nations. To achieve our global aspirations, we welcome applicants from all backgrounds.