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- Tasks: Conduct groundbreaking research on dynamical systems and mentor junior researchers.
- Company: Join the prestigious University of Oxford, a leader in global research and innovation.
- Benefits: Enjoy 38 days annual leave, a contributory pension scheme, and flexible working options.
- Why this job: Make a real impact on global challenges while advancing your academic career.
- Qualifications: Strong background in algorithmic theory and research experience.
- Other info: Collaborative environment with opportunities for teaching and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking highly motivated Research Associates (up to two) to join our team. The post holder will carry out research on the project Beyond Linear Dynamical Systems, with the objective of discovering computational theories of dynamical systems. The post holder will report to the Principal Investigator.
The post holder will be a member of research groups within the project, with responsibility for carrying out research, to provide guidance to junior members of the research groups including research assistants, PhD students, and students on projects. The post holder may also have an opportunity to engage in teaching.
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 9th April 2026. Interviews are expected to be held in April.
Research Associates on Algorithmic Theory of Dynamical Systems 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 Associates on Algorithmic Theory of Dynamical Systems in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Oxford, especially in the Department of Computer Science. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by diving deep into the project 'Beyond Linear Dynamical Systems'. Show us you’re not just interested in the role but are genuinely excited about the research and its impact.
✨Tip Number 3
Practice your teaching skills! Since there’s a chance to engage in teaching, think about how you’d explain complex concepts simply. We love candidates who can communicate effectively with diverse audiences.
✨Tip Number 4
Don’t forget to apply through our website! Make sure your application is tailored to the role, highlighting your relevant experience and how you meet the selection criteria. We want to see the real you!
We think you need these skills to ace Research Associates on Algorithmic Theory of Dynamical Systems in Oxford
Some tips for your application 🫡
Craft a Personalised Supporting Statement: Make sure your supporting statement is tailored to the role. We want to see how your unique experiences and skills align with the essential selection criteria. Don’t just list your qualifications; tell us how they make you the perfect fit for our team!
Showcase Your Research Passion: We’re looking for candidates who are genuinely excited about research in algorithmic theory and dynamical systems. Use your application to convey your enthusiasm and any relevant projects or experiences that highlight your commitment to this field.
Be Clear and Concise: When writing your CV and supporting statement, clarity is key! We appreciate well-structured applications that get straight to the point. Avoid jargon unless it’s necessary, and make sure your ideas flow logically.
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 as we review applications.
How to prepare for a job interview at University of Oxford, Dept of Computer Science
✨Know Your Research
Make sure you’re well-versed in the project 'Beyond Linear Dynamical Systems'. Familiarise yourself with the latest developments in algorithmic theory and dynamical systems. This will not only help you answer questions confidently but also show your genuine interest in the role.
✨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 research or teaching experiences to illustrate your points, making it personal and relevant.
✨Prepare for Teaching Engagements
Since there’s a chance you might engage in teaching, think about how you would approach this. Prepare to discuss your teaching philosophy and any previous experience you have. Be ready to share how you would guide junior members of the research group effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the research environment, team dynamics, and future projects. This shows that you’re not just interested in the position but also in contributing to the team’s success.