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- Tasks: Lead research in statistics and guide junior researchers on innovative AI projects.
- Company: Join a prestigious institution committed to equality and inclusivity.
- Benefits: Fixed-term contract with opportunities for professional growth and collaboration.
- Other info: We encourage applications from under-represented groups to promote diversity in research.
- Why this job: Make a real impact in human-centred AI research while advancing your academic career.
- Qualifications: PhD or nearing completion, with expertise in statistical machine learning and network analysis.
The predicted salary is between 35000 - 45000 £ per year.
The post holder will report to Prof Gesine Reinert who is an investigator on the project. The post holder will work under the joint supervision of Prof Gesine Reinert and Dr Wenkai Xu (Warwick). The post holder is a member of a wider UKRI‑Japan research programme on theoretical and practical aspects for reliable learning procedures for human‑centred AI. The post holder provides guidance to junior members of the research group including project students and PhD students. This post is fixed‑term for 2 years, to start no later than 1 January 2027.
Applicants will have, or be close to completion of a PhD, together with relevant experience in the area of probability of statistical machine learning. They will possess sufficient specialist knowledge in network analysis and uncertainty quantification in machine learning and have the ability to manage their own academic research and associated activities. They will have excellent communication skills, including the ability to write for publication, and represent the research group at meetings.
We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under‑represented in positions of this type at Oxford. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description.
You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, including a list of publications, a statement of research interests and the contact details of two referees as part of your online application.
Postdoctoral Research Assistant in Statistics in Oxford employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Assistant in Statistics in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in academia and industry, especially those who know Prof Gesine Reinert or Dr Wenkai Xu. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Prepare for the interview by diving deep into the research programme. Familiarise yourself with their work on human-centred AI and think about how your skills in statistical machine learning can contribute. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of a strong online presence. Update your LinkedIn profile and share your research interests and achievements. This can help you get noticed by the right people and demonstrate your passion for the field.
✨Tip Number 4
When you apply through our website, make sure your application stands out. Tailor your statement to highlight how you meet the selection criteria and don’t forget to showcase your communication skills. We want to see your personality shine through!
We think you need these skills to ace Postdoctoral Research Assistant in Statistics in Oxford
Some tips for your application 🫡
Tailor Your Statement: Make sure your statement clearly outlines how you meet the selection criteria. Use specific examples from your experience in probability and statistical machine learning to show us why you're the perfect fit for this role.
Show Off Your Research Interests: In your statement of research interests, let us know what excites you about human-centred AI. Highlight any relevant projects you've worked on and how they align with our goals at StudySmarter.
CV Matters: Your CV should be up-to-date and include a list of your publications. We want to see not just what you've done, but how it relates to the position. Make it easy for us to see your achievements!
References Are Key: Choose referees who can speak to your academic prowess and your ability to work in a team. A strong reference can really make a difference, so pick wisely and ensure they’re ready to back you up!
How to prepare for a job interview at University of Oxford
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and how it relates to the project. Be prepared to discuss your PhD work, especially any statistical machine learning techniques you've used, and how they can contribute to the goals of the UKRI-Japan programme.
✨Showcase Your Communication Skills
Since excellent communication is key for this role, practice explaining complex concepts in simple terms. You might be asked to present your research or explain your approach to network analysis, so clarity and confidence are crucial.
✨Prepare for Team Dynamics
As you'll be guiding junior members, think about your leadership style and how you can support others in their research. Be ready to share examples of how you've mentored or collaborated with peers in the past.
✨Align with Their Values
Familiarise yourself with the department's commitment to inclusivity and equality. Be prepared to discuss how you can contribute to these values, especially if you have experiences or ideas that promote diversity in research.