Research Associate on Algorithmic Comparison of Stochastic Systems
| Dyddiad hysbysebu: | 28 Mai 2025 |
|---|---|
| Cyflog: | £38,674 i £40,855 bob blwyddyn, pro rata |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 27 Mehefin 2025 |
| Lleoliad: | Oxford, Oxfordshire |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | University of Oxford, Dept of Computer Science |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 179924 |
Crynodeb
We are excited to offer this Research Associate position at the University of Oxford, under the supervision of Professor Stefan Kiefer. The post holder will be a member of a project team of Automated Verification theme in the Department of Computer Science and a research group with responsibility for carrying out research on the robustness (continuity) of equivalences in probabilistic systems. This is part of an EPSRC-funded project on Algorithmic Comparison of Stochastic Systems. The post holder will work closely with the Principal Investigator, Stefan Kiefer, but also with other members of a team, including a PhD (DPhil) student and an external collaborator, Prof Franck van Breugel (York University, Toronto).
It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in the relevant field together with relevant experience.
The role requires a minimum of 2 days per week on-site, with flexible arrangements possible based on work requirements, such as in-person meeting attendance, and project timelines.
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 jobs)
• 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 30th June 2025. Interviews are expected to be held in July.
It is essential that successful candidate would hold a relevant PhD/DPhil or being close to completion in the relevant field together with relevant experience.
The role requires a minimum of 2 days per week on-site, with flexible arrangements possible based on work requirements, such as in-person meeting attendance, and project timelines.
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 jobs)
• 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 30th June 2025. Interviews are expected to be held in July.