|Salary:||£43,267 to £50,132|
|Placed On:||20th September 2018|
|Closes:||18th October 2018|
Temporary for 30 months
Teesside University is a vibrant, modern university in the North East of England, with a reputation for academic excellence and for an outstanding and stimulating student and learning experience, informed by engagement with research, business and the professions. Our wide range of study options are supported by a commitment to investing in our campus and facilities, with £300m to be spent over the next ten years. We have set out an ambitious programme of transformation that will drive academic innovation and deliver excellence for our students, partners and the communities we serve.
The Research Fellow will develop advanced machine/deep learning techniques to extract knowledge from available data in bioprocess development and operation. The successful candidate will investigate the effective use of the broad data sources arising, and present it in a manner that enables engineers and scientists to make their processes more efficient is the core objective. Bioprocessing knowledge comes from the Teesside, York and Hull Universities team, with the RA bringing computer-based skills and collaborating with Computer Scientist colleagues at York and Hull Universities. The post is part of the THYME project funded by Research England’s Connecting Capability Fund. You will a take a lead role in designing the data to knowledge strategy and developing a prototype for bioprocess application. The post will be based between Teesside University Middlesbrough and Darlington Campuses, exploiting the opportunities offered by the new £22M National Horizons Centre development.
The successful candidate will have a PhD degree in computer science, mathematics, bioinformatics, physics, engineering or related subjects, and have the relevant technical, professional or specialist knowledge to carry out the role. You will be required to engage in high-level research, in the analysis of complex research ideas and be able to apply existing methodology according to the overall context. The ability to convey complex information or ideas of detailed technical or specialist nature is essential. You must be able to liaise with people and participate in networks internally and externally, as required, to ensure good dissemination of research activities and facilitate collaborative work.
The Tees Valley is an enjoyable place to live – in the heart of the North of England’s coastline and countryside, with easy access to Durham, Newcastle and York.
Apply now if you would like to join us.
For further details of this and other posts, please refer to our website at recruitment.tees.ac.uk/itrentlive_webrecruitment/wrd/run/etrec107gf.open?VACANCY_ID=7804462gJi&WVID=3395700LFi&LANG=USA
Interview date: 7 November 2018
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