Post Doctoral Research Associate, Research Software Developer
A Post Doctoral Research Associate is sought with expertise in developing commercial quality software in the areas of Machine Learning, Text Mining, and OCR, experience of working with many-core programming is also highly desirable. The successful candidate will work within the project on event detection and classification and anomaly detection within big textual data under the guidance of Dr Boguslaw Obara, Professor Toby Breckon, Dr Peter Matthews and Dr Stephen McGough.
The successful candidate will be based in the Department of Computer Science, Durham University - ranked in the top 5 for 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/governmental collaborators and form a major innovation contributor to future security and data understanding.
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 fixed term for 7 months; the project is time limited and funding will end on 31/03/2019.