Organisation/Company: ROYAL HOLLOWAY, UNIVERSITY OF LONDON
Research Field: Computer Science
Researcher Profile: Recognised Researcher (R2), First Stage Researcher (R1), Established Researcher (R3)
Country: United Kingdom
Application Deadline: 6 Feb 2025 - 00:00 (UTC)
Type of Contract: Other
Job Status: Full-time
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Department of Computer Science
Location: Egham
Salary: £40,133 to £47,297 per annum - including London Allowance
Post Type: Full Time
Closing Date: 23.59 hours GMT on Thursday 06 February 2025
Reference: 1224-366
Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website.
Full-time, Fixed Term (36 months)
Applications are invited for the post of Postdoctoral Research Assistant in the Department of Computer Science.
We are looking for a highly motivated individual to join the Social Mechanisms and Applications research project led by the Principal Investigator (PI), Professor David Levine and Co-Investigated by Professor Kostas Stathis.
This is a project funded by the Leverhulme Trust.
The successful candidate is expected to engage as a full member of the research team and have excellent communication and presentation skills, with the proven ability to communicate effectively, both verbally and in writing, with students, colleagues, and external audiences, including the ability to present complex information effectively to a range of audiences.
Minimum Requirements
The successful candidate will possess as many as possible of the following:
* PhD in relevant subject area (or near completion of)
* Experience of designing, formulating, and implementing AI agents for a specific domain (online and/or in-lab)
* Experience of working in industry in a research capacity
* Demonstrable comprehensive knowledge in the subject area
* Proven ability to analyse and write up research results and handle related administrative duties
* Ability to develop multi-agent applications using an existing agent platform
* Evidence of a publication record in good quality journals
* Experience/expertise with computational modelling of agent models and behaviour
* Practical experience of developing agent models, using symbolic and sub-symbolic AI techniques
* Experience with the teleo-reactive model of agent execution
* Experience with experimental data-analysis
* Experience with developing an agent environment in an AI programming language
* Experience with constructing research funding proposals
* Demonstrated enthusiasm for open science research practices
For queries on the application process, the Human Resources Department can be contacted by email at recruitment@rhul.ac.uk.
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