Research Assistant in Informatics Ref: 7456

School/department: Engineering and Informatics/Informatics
Hours: Part time hours considered up to a maximum of 33 hours per week. Requests for flexible working options will be considered (subject to business need).
Contract: fixed term until 7 April 2023
Reference: 7456
Salary: starting at £30,497 to £34,304, per annum, pro rata
Placed on: 13 December 2021.
Closing date:  20 January 2022. Applications must be received by midnight of the closing date.
Expected interview date: w/c 31 January 2022
Expected start date: As soon as possible


Job description

We are recruiting a Research Assistant (RA) to support the experimental studies conducted in the Representational Systems Laboratory in the Department of Informatics. The studies will include cognitive science/psychology experiments on how people’s learning and problem solving when doing information rich tasks with novel diagrammatic representations and interactive graphical user interfaces. The RA’s primary role will be to organize and run the experiments, and to manage the collation and preparation of the collected data. The RA will also contribute to the design of the experiments, the analysis of the data and preparation of presentations and publications.

The role is primarily work on an innovative project that aims to develop and evaluate interactive visualization tools for a project entitled Cybersecurity visualization: collaborative graphical tools for security policies. The project is a collaboration between the University of Sussex and Qatar University, which is creating novel interactive graphical software applications, which the RA will evaluate with users. In addition, the RA will support other projects on people’s skills in using diverse representations and on the assessment of new methods to assess people’s competence based on micro-behaviours in transcription tasks.

Applicants must have a bachelor’s or master’s degree that include: (a) training on research methods and statistics for experiments in human behaviour; (b) at least one or more courses on cognitive psychology, cognitive science, human computer interaction or ergonomics.

You will be based at the University of 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 Qatar University. See here for the RepSys lab web pages:

http://users.sussex.ac.uk/~peterch/

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.

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

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

You can find out more about our values and our EDI Strategy,  Inclusive Sussex, on our webpages.

Download the full job description and person specification (reference number 7456) (PDF XKB)

The University requires that work undertaken for the University is performed from the UK. 

Visa Sponsorship Queries:

This role has been assigned an eligible SOC code however to meet the minimum salary requirement this is dependent on the salary you are offered and/or whether you are eligible for tradeable points. If you require visa sponsorship from the University of Sussex to undertake this role please consult our Skilled Worker Visa information page for further information. If you want further advice on sponsorship eligibility please contact HRCompliance@sussex.ac.uk

Please note that this position may be subject to ATAS clearance if you require visa sponsorship.

 


How to apply

Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] 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.

Please note that the terms and conditions for this role have been amended:


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