Research Fellow in Informatics Ref 6120
School/department: Engineering and Informatics, Informatics
Hours: Full time or part time hours 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
Salary: starting at £33,797 to £40,322 per annum, pro rata if part time.
Placed on: 3 June 2021
Closing date: 21 June 2021. Applications must be received by midnight of the closing date.
Expected start date: 1 July 2021 or as soon as possible thereafter
We are recruiting Research Fellow for a challenging project entitled Automated Representation Choice for AI Tools and is funded by the EPSRC. The project is a collaboration between the University of Sussex and the University of Cambridge.
The project’s goal is to develop an AI system that will select representations for problem solving that are suited to individuals and to target problem domains. To demonstrate the capability of this novel technology the project is building a tutoring system that will tailor its choice of representation to individual students. Key components of the system include (a) a tool to capture rich models of representational systems from human tutors and (b) a tool to assess students’ competence with different representations by recording and analyzing their drawing and writing behaviours.
The principal tasks of the post-holder will be to design, implement and evaluate (a) the tool for interactive graphical representation modelling and (b) the tool for assessing student competence through their production of representations. The post-holder will collaborate closely with the other members of the project who are studying the cognitive science of representational systems and building the tutoring system’s representation selection engine.
You will be based at Sussex, work under the supervision of Prof Peter Cheng, and be a member of the Representational Systems (RepSys) Laboratory within the Creative Technology Research Group. Locally you will work closely with members of the RepSys Lab, and at a distance you will collaborate with the team members in Cambridge.
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 essential and desirable sets of criteria outlined in the Job Description.
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.
Please contact Professor Peter Cheng, email@example.com for informal enquiries.
Please note that this position may be subject to ATAS clearance if you require visa sponsorship.
For full details and how to apply see our vacancies page
Visa Sponsorship Queries:
If you require visa sponsorship from the University of Sussex to undertake this role, you can find further information on our Visa page or contact HRCompliance@sussex.ac.uk to discuss your personal circumstances and whether you meet the criteria.
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 firstname.lastname@example.org
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.