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- Tasks: Join us in developing innovative AI solutions for healthcare and evaluate cutting-edge multi-modal models.
- Company: Be part of UCL, the top-ranked institution for ophthalmology, renowned for its research excellence.
- Benefits: Enjoy a competitive salary, generous holiday allowance, pension scheme, and enhanced parental pay.
- Other info: We value diversity and encourage applications from underrepresented groups to foster an inclusive environment.
- Why this job: Make a real impact on public healthcare while collaborating with leading experts in the field.
- Qualifications: PhD in a relevant area and experience in machine learning theory and application required.
The predicted salary is between 45000 - 46000 £ per year.
About us
The post of Research Fellow in AI for Healthcare is available with Dr Yukun Zhou in the UCL Institute of Ophthalmology, ranked the best place in the world to study ophthalmology (CWUR Rankings by Subject 2017), as part of Dr Zhou\’s Wellcome Trust Early-Career Award.
This is an exciting opportunity to play a key role in the development of novel innovations aimed at advancing fundamental methodologies for multi-modal foundation models and improving public healthcare. The successful applicant will also benefit from from the opportunities afforded by being part of the larger financial and administrative community of the Faculty of Brain Sciences, School of Life and Medical Sciences and University College London (UCL).
About the role
Salary: UCL Grade 7 spine point 31-32 (£45,103 – £46,261)
Duration: the post is available from 01/09/2025 for 18 months until 28/02/2027
The research fellow will focus on evaluating the most recent multi-modal foundation models and integrating them into the workflow of agentic AI. The target is to propose an efficient, robust, and generalisable framework supporting diverse healthcare applications
Appointment as a Research Fellow at Grade 7 is dependent upon having been awarded a PhD. If this is not the case, an initial appointment will be made as a Research Assistant at Grade 6b with payment at Grade 7 backdated upon award of a PhD to the date of final submission of the PhD thesis (with corrections)
About you
Applicants should hold a PhD in a relevant topic, and have a track record in the theory, development and application of machine learning.
What we offer
Working with some of the greatest intellects in the world, UCL also offers a generous pension scheme and holiday allowance, plus closure and bank holidays as well as enhanced parental pay and more. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Application Process
If you have any queries regarding the vacancy please contact Dr Yukun Zhou (email: yukun.zhou.19@ucl.ac.uk). If you have any queries regarding the application process please email: ioo.hr@ucl.ac.uk.
A job description and person specification can be accessed at the bottom of this page.
To apply for the vacancy please click on the \’Apply Now\’ button below.
Please ensure you attach your CV and highest academic qualification . In addition, please ensure you provide a personal statement outlining how you meet the criteria to support your application. Please DO NOT attach research papers.
Our commitment to Equality, Diversity and Inclusion
As London\’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world\’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL\’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. #J-18808-Ljbffr
Research Fellow in AI for Healthcare employer: UCL
Contact Detail:
UCL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in AI for Healthcare
✨Tip Number 1
Network with professionals in the field of AI and healthcare. Attend relevant conferences, workshops, or seminars where you can meet researchers and practitioners. This can help you gain insights into the latest developments and potentially lead to recommendations.
✨Tip Number 2
Engage with Dr Yukun Zhou's work by reading his publications and understanding his research focus. This will not only prepare you for potential interviews but also allow you to tailor your discussions to align with his interests and ongoing projects.
✨Tip Number 3
Showcase your expertise in machine learning through practical demonstrations. If possible, create a portfolio of projects that highlight your skills in developing and applying multi-modal foundation models, as this will set you apart from other candidates.
✨Tip Number 4
Familiarise yourself with UCL's values and commitment to diversity and inclusion. Be prepared to discuss how your background and experiences contribute to these values during the interview process, as this is important to the institution.
We think you need these skills to ace Research Fellow in AI for Healthcare
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the expectations and requirements for the Research Fellow position. Pay special attention to the qualifications needed, such as a PhD in a relevant topic and experience in machine learning.
Craft a Personal Statement: Write a compelling personal statement that clearly outlines how your background, skills, and experiences align with the role. Highlight specific projects or research that demonstrate your expertise in AI and healthcare.
Prepare Your CV: Ensure your CV is up-to-date and tailored to the position. Include relevant academic qualifications, research experience, and any publications or presentations that showcase your work in AI and healthcare.
Follow Application Instructions: When applying, make sure to attach your CV and highest academic qualification as specified. Double-check that you have not included research papers, as they are not required for this application.
How to prepare for a job interview at UCL
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to machine learning and healthcare. Highlight any innovative methodologies you developed and how they can be applied to the role.
✨Understand the Role of Multi-Modal Foundation Models
Familiarise yourself with the latest advancements in multi-modal foundation models. Be ready to explain how these models can enhance agentic AI workflows in healthcare settings during your interview.
✨Prepare Thoughtful Questions
Demonstrate your interest in the position by preparing insightful questions about Dr Zhou's research and the team's goals. This shows that you are engaged and eager to contribute to their work.
✨Emphasise Collaboration Skills
Since this role involves working within a larger community at UCL, highlight your ability to collaborate effectively with diverse teams. Share examples of past teamwork experiences that led to successful outcomes.