At a Glance
- Tasks: Join a cutting-edge project on automated verification of probabilistic security systems.
- Company: University of Oxford, a prestigious institution known for innovation and research excellence.
- Benefits: Competitive salary, potential for renewal, and the chance to work with leading experts.
- Other info: Opportunity for professional growth in a dynamic research environment.
- Why this job: Make a real impact in the field of security while advancing your academic career.
- Qualifications: PhD or near completion, with expertise in stochastic games and automated verification.
The predicted salary is between 47779 - 47779 £ per year.
University of Oxford, Department of Computer Science, invites two Research Associates to work on the ERC Synergy project Ve Pa SS, focusing on automated verification of probabilistic security systems.
Posts run 20 October 2026 to 19 October 2027, with possible renewal.
Salary £39,424-£47,779 per annum with Oxford weighting.
Candidates should have a Ph D or be near completion, with knowledge in stochastic games, symbolic computation, and automated verification.
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Research Associate, VePaSS: Probabilistic Security in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate, VePaSS: Probabilistic Security in Oxford
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We think you need these skills to ace Research Associate, VePaSS: Probabilistic Security in Oxford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Corehr, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Corehr, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Corehr’s attention and show the tangible impact of your work.
How to prepare for a job interview at Corehr
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Corehr.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Corehr.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Corehr.
