Post Doctoral Research Associate

Durham University - School of Engineering & Computing Sciences

Closing Date: 28 August 2017 (Midday)

This is a full time, fixed term post for 24 months.

A Post Doctoral Research Associate is sought with expertise in Machine Learning (in particular Deep Learning), Image Processing, Unsupervised Learning, and High-Performance Computing (HPC). The successful candidate will work within the project on classification and localisation with a collection of imaging data under the guidance of Dr Boguslaw Obara.

The successful candidate will be based in the School of Engineering and Computer Science, Durham University - ranked in the top 5 for both Engineering & Computer Science, Times Good University Guide 2016/17 (Durham University ranked 4th overall). They may have the opportunity to contribute to aspects of departmental teaching at undergraduate level and will be expected to contribute to doctoral student supervision as appropriate.

In addition to published research output, the candidate can expect their research to have significant impact across a range of industrial collaborators. The post the offers an outstanding opportunity to gain a strong research track record in an exciting and fast-moving area of applied machine learning whilst working in an environment with high levels of external collaboration and industrial research impact.

The successful candidate will provide advice and work closely with a software developer in order to produce industry standard software. This post is available to commence immediately and is initially a fixed term of 24 months. Extension would be dependent on future research income from the project sponsor(s) and/or other external funding sources.

The School holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

The aim of this project is to conduct research relating to an automated image classification, clustering, and localisation system using Deep Convolutional Neural Networks (CNNs). A prototype has been developed by Dr Boguslaw Obara’s lab using Pytorch, which is deployed on a large memory server. Durham University also has access to a NVIDIA Compute Server with an array of modern high-performing GPUs to conduct model training, and a server provided by Microsoft Azure equipped with 10 NVIDIA TESLA K80s.

The project involves conducting novel research in subfields relating to, but not limited to: Attentive Models, Generative Adversarial Networks (GANs), and Deep Residual Learning.

In addition to working with Dr Boguslaw Obara you will be collaborating with a dedicated Research Associate and Software Engineer on this project. The Durham team have significant expertise in Deep Learning, GPGPU Programming, Image Processing, and Data Analytics.

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