Senior Research Associate in Robust, Large-Scale Agent-Based Modelling
| Dyddiad hysbysebu: | 19 Mehefin 2025 |
|---|---|
| Cyflog: | £48,235 i £51,059 bob blwyddyn, pro rata |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 07 Gorffennaf 2025 |
| Lleoliad: | Oxford, Oxfordshire |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 2 ddiwrnod yr wythnos |
| Cwmni: | University of Oxford, Dept of Computer Science |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 180364 |
Crynodeb
An exciting opportunity has arisen for a talented postdoctoral researcher to join the Oxford Machine to work on a research project in the area of robust, large-scale agent-based modelling. The post is tenable immediately, and will be available until the end of the grant (30 September 2026). The postholder will be supervised by the PI Prof Michael Wooldridge, along with co-Investigators Prof Ani Calinescu and Prof Doyne Farmer. The postholder will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford.
The project is intended to substantially advance the theory and practice of agent-based modelling. The project will involve some theory, programming, and systematic experimentation – the precise focus will depend on the expertise and interest of successful candidates. In more detail, the successful candidates will work on one or more of the areas of (1) modelling languages for agent-based models (with particular interest in probalistic programming), (2) populating agent-based models with realistic agent behaviours (e.g. using machine learning techniques), (3) calibrating large-scale agent-based models and (4) validation and verification of agent-based models (e.g. using techniques from game theoretic model checking/rational synthesis)
Candidates will be expected to have a PhD in a related area and should indicate their special area(s) of interest from the four topics above in a cover letter. The primary selection criteria will be relevant research experience and publication track record.
What We Offer
As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
• An excellent contributory pension scheme
• 38 days annual leave (pro-rata for part-time roles)
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
Diversity
Committed to equality and valuing diversity.
Application Process
You will be required to upload a supporting statement and an up-to-date CV as part of your online application.
Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.
While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.
The closing date for applications is noon on 7th July 2025. Interviews are expected to be held in July.
The project is intended to substantially advance the theory and practice of agent-based modelling. The project will involve some theory, programming, and systematic experimentation – the precise focus will depend on the expertise and interest of successful candidates. In more detail, the successful candidates will work on one or more of the areas of (1) modelling languages for agent-based models (with particular interest in probalistic programming), (2) populating agent-based models with realistic agent behaviours (e.g. using machine learning techniques), (3) calibrating large-scale agent-based models and (4) validation and verification of agent-based models (e.g. using techniques from game theoretic model checking/rational synthesis)
Candidates will be expected to have a PhD in a related area and should indicate their special area(s) of interest from the four topics above in a cover letter. The primary selection criteria will be relevant research experience and publication track record.
What We Offer
As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:
• An excellent contributory pension scheme
• 38 days annual leave (pro-rata for part-time roles)
• A comprehensive range of childcare services
• Family leave schemes
• Cycle loan scheme
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
Diversity
Committed to equality and valuing diversity.
Application Process
You will be required to upload a supporting statement and an up-to-date CV as part of your online application.
Your supporting statement must clearly demonstrate how you meet each of the essential selection criteria listed in the job description. Applications that do not include a supporting statement or CV, or fail to address the criteria in sufficient detail, will not be considered.
While we recognise the value of AI tools in assisting with application preparation, submissions that are clearly AI-generated without personalisation or insight will be rejected. It's crucial that your application reflects your own experiences and understanding of the role.
The closing date for applications is noon on 7th July 2025. Interviews are expected to be held in July.