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- Tasks: Join a team tackling challenges in online algorithms and contribute to innovative research.
- Company: University of Oxford, a world-class centre of excellence in research and teaching.
- Benefits: 38 days annual leave, excellent pension scheme, and flexible working options.
- Why this job: Make a real impact on global challenges while advancing your research skills.
- Qualifications: Strong background in algorithms and a passion for research.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 30000 - 40000 ÂŁ per year.
We are seeking a highly motivated Research Associate to join our team on the project “Challenges in Competitive Online Optimisation” supervised by Christian Coester. The project is funded by the European Research Council (ERC). The project aims to tackle central challenges in the fields of online algorithms and learning-augmented algorithms. Goals of the project include the advancement of algorithmic design and analysis techniques with potential impact on long-standing open problems in online algorithms (such as the k-server problem or the dynamic optimality conjecture), and the development of universal techniques for designing learning-augmented algorithms.
The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among the best in the world. Our commitment to innovation drives us to tackle complex technological and societal challenges.
What We Offer
- Excellent contributory pension scheme
- 38 days annual leave (including public holidays) – pro rata for part time jobs
- Family leave schemes
- Cycle loan scheme and discounted public transport
The successful candidate will work onsite in the Department of Computer Science buildings in central Oxford, however remote and flexible working can be considered.
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 midday on 21st April 2026. Interviews are expected to be held in late April or early May.
Research Associate on Online Algorithms in Oxford employer: University of Oxford, Dept of Computer Science
Contact Detail:
University of Oxford, Dept of Computer Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate on Online Algorithms in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Oxford, especially in the Computer Science department. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by diving deep into online algorithms and the specific challenges mentioned in the project. We want to show that we’re not just interested but genuinely passionate about tackling those problems.
✨Tip Number 3
Practice makes perfect! Set up mock interviews with friends or mentors to get comfortable discussing our research interests and how they align with the project goals. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our supporting statement to highlight how we meet the essential criteria directly.
We think you need these skills to ace Research Associate on Online Algorithms in Oxford
Some tips for your application 🫡
Tailor Your Supporting Statement: Make sure your supporting statement is personalised and directly addresses the essential selection criteria. We want to see how your unique experiences align with the role, so don’t hold back on showcasing your skills!
Craft a Strong CV: Your CV should be up-to-date and clearly highlight your relevant experience and achievements. We’re looking for clarity and conciseness, so keep it neat and focused on what matters most for this position.
Show Your Passion for Research: In your application, let us know why you’re excited about the project on online algorithms. We love candidates who are genuinely interested in the field and can articulate their enthusiasm for tackling complex challenges.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your materials are received and considered. Plus, it helps us keep everything organised and efficient.
How to prepare for a job interview at University of Oxford, Dept of Computer Science
✨Know Your Algorithms
Make sure you brush up on your knowledge of online algorithms and learning-augmented algorithms. Be prepared to discuss specific challenges in these areas, like the k-server problem or dynamic optimality conjecture. Showing that you understand the core concepts will impress the interviewers.
✨Tailor Your Supporting Statement
Your supporting statement is crucial! Clearly demonstrate how your skills and experiences align with the essential selection criteria. Use specific examples from your past work or studies that relate directly to the project’s goals. This personal touch can set you apart from other candidates.
✨Engage with the Research
Before the interview, take some time to read up on recent publications from the Department of Computer Science at Oxford. Being able to reference their work or express interest in ongoing projects shows that you’re genuinely invested in the role and the research environment.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the project, the team, or the department's future directions. This not only shows your enthusiasm but also helps you gauge if this is the right fit for you. Remember, it’s as much about you finding the right place as it is about them finding the right candidate.