At a Glance
- Tasks: Design and test machine-learning algorithms for human-AI collaboration in healthcare imaging.
- Company: Join a leading research group at the Institute of Biomedical Engineering.
- Benefits: Fixed-term position with funding from UKRI and opportunities for impactful research.
- Other info: Collaborative environment with a focus on career development and innovation.
- Why this job: Contribute to groundbreaking AI research that enhances decision-making in healthcare.
- Qualifications: PhD/DPhil in machine learning, computer vision, or biomedical image analysis required.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for a creative and highly motivated postdoctoral researcher to join the new Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in healthcare imaging.
Topics in the research programme include:
- Single- and multi-modal video-based human-machine collaboration
- Federated learning for healthcare collaboration and partnership
- Applied research to understand human skill in healthcare settings
- An investigation of different AI scientist career mobility schemes
The researcher will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. This full-time post is funded by the UKRI and is fixed term for up to 2 years in the first instance.
You will be responsible for the design and testing of machine-learning based algorithms for HAIC. You will work with clinical domain experts to develop tools and evaluate them. The choice of the specific clinical task(s) will be defined in the initial phase of the project which will involve discussions with clinical groups interested in HAIC.
You will hold a relevant PhD/DPhil (or be near completion) in machine learning, computer vision or biomedical image analysis, together with relevant experience. Publications/presentations in top conferences and journals in the discipline of work including as a first author is essential, as well as experience of original deep learning in imaging architecture design and evaluation.
Informal enquiries may be addressed to Professor Alison Noble (alison.noble@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/. Only online applications received before midday on 10 May 2024 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Postdoctoral Research Assistant in Human-AI Collaboration in Oxford employer: University of Oxford
Join a pioneering research environment at the Institute of Biomedical Engineering, where innovation meets collaboration in the field of Human-AI decision-making for healthcare imaging. As a Postdoctoral Research Assistant, you will benefit from a supportive work culture that values creativity and professional growth, with access to cutting-edge resources and mentorship from leading experts like Professor Alison Noble. Located at the vibrant Old Road Campus in Headington, this role offers a unique opportunity to contribute to impactful research while being part of a team committed to advancing diversity and inclusion in STEM fields.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Human-AI Collaboration in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the field, especially those connected to the Turing AI programme. A friendly chat can open doors and give you insights that might just set you apart from other candidates.
✨Tip Number 2
Show off your skills! Prepare a portfolio or presentation that highlights your previous work in machine learning and healthcare imaging. This is your chance to demonstrate how your experience aligns with the exciting research at the Institute of Biomedical Engineering.
✨Tip Number 3
Be proactive! Don’t wait for the interview to ask questions. Engage with Professor Alison Noble or other team members about their research interests. This shows your enthusiasm and helps you understand how you can contribute to the team.
✨Tip Number 4
Apply through our website! Make sure your online application is polished and tailored to the role. Highlight your relevant publications and experiences, and don’t forget to include that brief statement of research interests – it’s your chance to shine!
We think you need these skills to ace Postdoctoral Research Assistant in Human-AI Collaboration in Oxford
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your research interests and how they align with the exciting work we're doing at StudySmarter. Be specific about your past experiences and future plans, and don’t forget to show your enthusiasm for the role!
Tailor Your CV:When applying, tailor your CV to showcase relevant experience in machine learning, computer vision, or biomedical image analysis. Highlight any publications or presentations you've done, especially as a first author, to demonstrate your expertise and contributions to the field.
Showcase Your Collaboration Skills:Since this role involves working closely with clinical domain experts, make sure to emphasise any previous collaborative projects in your application. We want to see how you’ve successfully worked in teams and contributed to shared goals in your past roles.
Apply Online Through Our Website:Don’t forget to submit your application through our website before the deadline! It’s the easiest way for us to receive your materials, and we can’t wait to see what you bring to the table. Remember, only online applications received before midday on 10 May 2024 will be considered!
How to prepare for a job interview at University of Oxford
✨Know Your Research Inside Out
Make sure you’re well-versed in the specifics of your past research and how it relates to human-AI collaboration. Be ready to discuss your publications and how they contribute to the field, especially in healthcare imaging.
✨Prepare for Technical Questions
Expect questions about machine learning algorithms and deep learning architectures. Brush up on your knowledge of federated learning and video-based collaboration techniques, as these are key topics in the role.
✨Showcase Your Collaborative Spirit
Since you'll be working with clinical experts, highlight any previous experiences where you collaborated across disciplines. Share examples that demonstrate your ability to communicate complex ideas clearly and work effectively in a team.
✨Craft a Compelling Research Statement
Your covering letter should not just repeat your CV. Use it to articulate your research interests and how they align with the goals of the Turing AI Fellowship. Make it personal and engaging to show your passion for the role.
