Research Assistant in Deep Learning

School/department: School of Engineering and Informatics
Hours: Full time
Contract: Fixed term until 28th February 2018 with the possibility of extension
Reference: 2517
Salary: Starting at £28,936 and rising to £32,548 per annum
Placed on: 13 September 2017
Closing date:  13 October 2017.  Applications must be received by midnight of the closing date. 
Expected start date: ASAP


Job description

Applications are invited for a Research Assistant position funded by the Sussex Sustainability Research Programme (SSRP), a collaborative initiative by the University of Sussex and Institute of Development Studies, on a project titled “Understanding trade-offs between sustainable development goals in urbanising contexts”. The long-term goal of the project is to develop a novel transdisciplinary methodology for mapping and analysing how peri-urban environmental change results in the creation of risk and opportunities for human health and wellbeing, and how they unfold across time, space, and social groups.

The successful candidate will work within a multi-disciplinary team led by Professor Fiona Marshall (Business, Management and Economics) and Dr Novi Quadrianto (Engineering and Informatics). You will be based in the Predictive Analytics Lab (PAL) at the Department of Informatics but will interact continuously with the whole team across the different Schools. In addition to undertaking high quality research and publishing in top machine learning conferences/journals including NIPS, ICML, JMLR, and TPAMI, the PAL group also creates significant impact by providing support, technology, and highly-trained specialists to a new generation of technology companies/charity foundations.

Applicants must have a Bachelor’s or Master’s degree in computer science, statistics, physics, mathematics (or related disciplines) and research experience in machine learning. Experience with deep convolutional neural network models and a data visualization tool such as D3 or Gephi is a distinct advantage. Informal enquiries are welcome and can be made to Fiona Marshall, Professor of Environment & Development (F.Marshall@sussex.ac.uk), or Novi Quadrianto, Senior Lecturer in Machine Learning (N.Quadrianto@sussex.ac.uk).

Download the full job description and person specification Ref 2517 [PDF 133.84KB]


How to apply

Download our non-academic application form [DOC 183.00KB] and personal details and equal opportunities form [DOC 162.50KB] and fill in all sections.

You must email your completed application, and personal details and equal opportunities form, to enginfrecruitment@sussex.ac.uk

You should attach your application form and all documents to the email (don't use a web-based upload/weblink service) and use the format job reference number / job title / your name in the subject line.

You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.

Download our terms and conditions summary for Clerical and Related Staff Terms and Conditions [DOC 35.00KB]


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