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- Tasks: Join us in developing AI technologies for medical image enhancement and quality transfer.
- Company: UCL's Computer Science Department is a top-ranked UK institution, renowned for its research excellence.
- Benefits: Enjoy 41 days of holiday, a pension scheme, on-site gym, and more perks!
- Why this job: Be part of a vibrant hub of data-science researchers making a real impact in healthcare.
- Qualifications: You need a 2:1 honours degree and a PhD in a relevant field, plus AI/machine learning experience.
- Other info: We encourage applications from underrepresented groups to foster diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
UCL's Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England.
Appointments will be within the newly created UCL Hawkes Institute and Department of Computer Science. The Hawkes Institute launched in March and combines the UCL Centre for Medical Image Computing (CMIC) and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). The specific location will be our office at 90 High Holborn, which collocates Hawkes (formerly CMIC), UCL's AI Centre (AIC), and UCL's Advanced Research Computing Centre (ARC) creating a vibrant hub of data-science researchers with interests from basic machine learning and AI technologies through to front-line applications in healthcare. The Hawkes Institute connects these activities to the wider range of biomedical and clinical activity across UCL. The aim is to develop next-generation low-field portable MRI scanners enabling new research and clinical application in low-resource settings. UCL's part of the project develops AI technologies for image reconstruction from sparse data and image enhancement via mappings from low-field to high-field images using and building on methods such as Image Quality Transfer.
The post requires an honours degree (minimum 2:1) and a PhD in a discipline related to the role. The candidate should have a track record in the theory, development, and application of machine learning/AI tools with relevance to this project. The candidate should also have strong problem-solving abilities, excellent communication skills, and a track record of high-quality research publications.
As well as the exciting opportunities this role presents, we also offer some great benefits:
- 41 Days holiday (27 days annual leave, 8 bank holidays, and 6 closure days)
- Additional 5 days' annual leave purchase scheme
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- Immigration loan
- Relocation scheme for certain posts
- On-site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
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.
Research Fellow in AI-driven Medical Image Enhancement & Image Quality Transfer employer: UCL
Contact Detail:
UCL Recruiting Team
d.alexander@ucl.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in AI-driven Medical Image Enhancement & Image Quality Transfer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI-driven medical imaging. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of medical image computing and AI. Attend relevant conferences or webinars, and connect with researchers from UCL to gain insights and potentially get a referral.
✨Tip Number 3
Prepare to discuss your previous research projects in detail, especially those related to machine learning and AI. Be ready to explain your problem-solving approach and how it can be applied to the challenges faced in medical imaging.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing complex topics. Practice explaining your research to a non-specialist audience, as this demonstrates your ability to convey important information effectively.
We think you need these skills to ace Research Fellow in AI-driven Medical Image Enhancement & Image Quality Transfer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the specific requirements and responsibilities of the Research Fellow position. Highlight your relevant experience in AI and medical imaging in your application.
Tailor Your CV: Customise your CV to reflect your qualifications, particularly your honours degree and PhD. Emphasise your track record in machine learning and AI tools, as well as any relevant research publications.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences to the role. Discuss your problem-solving abilities and communication skills, and express your enthusiasm for contributing to the UCL Hawkes Institute's mission.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. A polished application reflects your attention to detail and professionalism.
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 AI. Highlight any publications or presentations you've made, as this demonstrates your expertise and commitment to the field.
✨Understand the Role and Institute
Familiarise yourself with the UCL Hawkes Institute and its objectives. Knowing about their focus on AI-driven medical image enhancement will help you tailor your responses and show genuine interest in the role.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've tackled complex problems in your past work. The interviewers will be looking for your ability to think critically and creatively, especially in relation to AI technologies and image processing.
✨Communicate Clearly and Confidently
Excellent communication skills are essential for this role. Practice explaining your research and technical concepts in a way that is accessible to non-experts, as you may need to collaborate with professionals from various backgrounds.
