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- Tasks: Join a dynamic team to develop AI models for predicting patient outcomes in digital health.
- Company: Be part of the Department of Engineering Science at Oxford, renowned for innovation and research excellence.
- Benefits: Enjoy a competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology and a supportive team.
- Qualifications: PhD (or near completion) in relevant fields; strong programming skills in Python and knowledge of machine learning.
- Other info: This role is fixed-term for 24 months, with potential for extension; applications close on 16 June 2025.
The predicted salary is between 38674 - 46913 £ per year.
We are seeking a full-time Postdoctoral Research Assistant in AI for Digital Health to join Professor Tingting Zhu's research group at the Department of Engineering Science (Headington, Oxford). The post is funded by NIHR and is fixed-term for 24 months, with a possible extension.
This project is about creating novel AI models to predict patient outcomes following acceptance or refusal of an offer on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation.
You should possess a relevant PhD (or near completion) in Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods; proven competence in programming methods like Python; evidence of working well as part of a multidisciplinary research team.
Informal enquiries may be addressed to Professor Tingting Zhu (email: tingting.zhu@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 16 June 2025 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.
£38,674 to £46,913 per annum : Grade 7
Postdoctoral Research Assistant in AI for Digital Health 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 AI for Digital Health
✨Tip Number 1
Familiarise yourself with the latest research in AI for digital health. This will not only help you understand the current landscape but also allow you to engage in meaningful discussions during interviews, showcasing your knowledge and enthusiasm for the field.
✨Tip Number 2
Connect with Professor Tingting Zhu and her research group on platforms like LinkedIn or ResearchGate. Engaging with their work can provide insights into their projects and demonstrate your genuine interest in joining their team.
✨Tip Number 3
Prepare to discuss your programming skills, particularly in Python, as well as your experience with machine learning algorithms. Be ready to provide examples of past projects where you've successfully applied these skills, as this will be crucial for the role.
✨Tip Number 4
Highlight your ability to work in multidisciplinary teams. Think of specific instances where you've collaborated with others from different backgrounds, as this will be important for fitting into the research environment at the Department of Engineering Science.
We think you need these skills to ace Postdoctoral Research Assistant in AI for Digital Health
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements. Highlight your relevant experience in AI, machine learning, and programming that aligns with the role.
Craft a Tailored Cover Letter: Write a compelling cover letter that addresses your research interests and how they relate to the project. Mention specific experiences that demonstrate your expertise in AI for digital health and your ability to work in a multidisciplinary team.
Highlight Your Publications: Include a section in your CV that showcases your publications. Emphasise any work related to AI, machine learning, or healthcare, as this will strengthen your application and demonstrate your research capabilities.
Prepare References: Select referees who can speak to your research skills and teamwork abilities. Inform them about the position you are applying for so they can tailor their references to highlight your suitability for the role.
How to prepare for a job interview at University of Oxford
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to AI, machine learning, or digital health. Highlight any publications you have and how they relate to the role.
✨Demonstrate Technical Proficiency
Since programming skills are crucial for this position, be ready to talk about your experience with Python and any relevant libraries. You might even be asked to solve a coding problem during the interview.
✨Understand the Project Goals
Familiarise yourself with the specifics of the project, particularly around predicting patient outcomes using multimodal data. This will show your genuine interest and help you align your answers with the department's objectives.
✨Emphasise Team Collaboration
As this role involves working within a multidisciplinary team, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and adaptability.
