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Postdoctoral Research Assistant
| Dyddiad hysbysebu: | 09 Ionawr 2025 |
|---|---|
| Cyflog: | £40,133 i £40,133 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 06 Chwefror 2025 |
| Lleoliad: | Egham, Surrey |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 2 ddiwrnod yr wythnos |
| Cwmni: | Royal Holloway University of London |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 1224-366 |
Crynodeb
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.
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
Ability to use key AI and/or Machine Learning software, e.g., Python, Java, C++, Prolog, Javascript
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 a 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
Please quote the reference: 1224-366
Closing Date: 23:59, 6 February 2025
Interview Date: To be Confirmed
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.
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
Ability to use key AI and/or Machine Learning software, e.g., Python, Java, C++, Prolog, Javascript
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 a 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
Please quote the reference: 1224-366
Closing Date: 23:59, 6 February 2025
Interview Date: To be Confirmed
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