|Salary:||£31,302 to £39,608 per annum. Grade 7|
|Placed On:||21st June 2019|
|Closes:||21st July 2019|
Contract Type: Open ended subject to funding
Faculty: Faculty of Engineering
Department: Department of Computer Science
Salary: Grade 7, £31,302 - £39,608 per annum (pro-rata), with potential to progress to £43,267 per annum.
Are you interested developing research software and facilitating reproducible research computing, with applications in Natural Language Processing and large-scale social media analytics?
We are looking for a new member of the growing GATE team, which is part of the Natural Language Processing research group, and also working in close cooperation with the Research Software Engineering (RSE) team. The ideal candidate will be highly passionate about developing robust software and development and maintenance of open source software infrastructures. Applicants should have experience of working with academics, researchers and/or industry consultancies to specify, develop, improve and deliver research software.
You will work on projects with academics and researchers from the team. Key focus is development and maintenance of our GATE open source software infrastructure, which underpins cutting-edge research in Natural Language Processing (NLP), large-scale real-time text analysis, social media data acquisition and analytics, interactive visualisations of analysis results, web-based service deployment, and cloud computing. The overarching objective is to enhance the University’s capability and expertise in developing research software as part of academic research.
The current team consists of ten research associates and fellows, aided by two RSEs who work on a variety of longer-term and shorter projects to assist in software engineering aspects of delivering excellent research.
Educated to PhD level (or be close to completion) or having equivalent industry experience, you will have a track record of software development. Applications are welcome from both software development generalists and from RSEs with inter-disciplinary technology focused skills which either complement or extend our existing portfolio e.g. data analytics (including statistical computing, machine learning and deep learning), numerical computing, HPC (including multi-core and GPUs), etc.
We are committed to exploring flexible working opportunities which benefit the individual and University.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
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