Research Fellow in Informatics Ref 5709

School/department:  Engineering and Informatics, Informatics
Hours: Full time considered up to a maximum of 1.0 FTE  Requests for flexible working options will be considered (subject to business need).
Contract: fixed term until 31 December 2022
Reference: 5709
Salary: starting at £33,797 to £40,322 per annum, pro rata if part time
Placed on: 22 March 2021
Closing date: 12 April 2021.   Applications must be received by midnight of the closing date.
Expected start date: 1st May 2020 or as soon as possible thereafter.


Job description

We wish to recruit a research fellow to develop and evaluate software systems for research projects in the Representational Systems (RepSys) Laboratory within the Creative Technology Research Group.  The post holder will develop applications for research projects funded by the EPSRC and the QNRF.  The projects are collaborations between the University of Sussex and the University of Cambridge and Qatar University, respectively. 

The post holder will develop various systems, including:

  • interactive graphical tools for the modelling of the conceptual structure of representations, as part of an AI tool for representation selection;
  • information visualizations for the authoring of digital security access control policies;
  • tools for the capture and analysis of writing and drawing behaviours for use in cognitive science experiments. 

You will be based at Sussex and work under the supervision of Prof Peter Cheng.  Locally you will collaborate closely members of the RepSys Lab, and at a distance you will collaborate with the team members of our project partners. 

Applicants should have a PhD in computer science or a cognate discipline.  We are seek someone with diverse skills, including: substantial software systems development experience, especially in JavaScript, Java, HTML5, PHP, databases and graphical user interface design; strong mathematical skills, particularly in the areas of graph theory, discrete mathematics and logic; demonstrable experience in HCI; familiarity with  programming for data analysis is desirable (Python, MatLab) and functional programming languages (e.g., standard ML, Haskell); an appreciation of cognitive science would be an advantage.

When applying, please fill in the application form and attach a full CV.  Use the space for additional information to explain how your skills are suited to the project, making reference to the sets of criteria outlined in the Job Description.

Please contact Professor Peter Cheng p.c.h.cheng@sussex.ac.uk , for informal enquiries.

The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.

Download job description and person specification Ref 5709 [PDF 210.23KB]


How to apply

Download our academic application form [DOC 199.50KB] and Personal details and equal opportunities form [DOC 110.00KB] and fill in all sections.

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 in PDF format (we are unable to accept applications as google.docs or .pages) 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.


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