At a Glance
- Tasks: Develop AI technologies for medical image enhancement and reconstruction.
- Company: Join UCL's top-ranked Computer Science department, renowned for research excellence.
- Benefits: Enjoy 41 days holiday, a pension scheme, and on-site gym access.
- Why this job: Be part of a vibrant hub focused on innovative healthcare applications and machine learning.
- Qualifications: Must have a PhD and experience in machine learning/AI tools.
- Other info: Encourages applications from diverse backgrounds to promote inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
UCL’s Department of Computer Science (CS) is a top-ranked department in the UK. In the 2021 Research Excellence Framework (REF), UCL Computer Science was ranked second in the UK for research power and first in England.
About the role
Appointments will be within the newly created UCL Hawkes Institute and Department of Computer Science. The Hawkes Institute, launched in March, combines the UCL Centre for Medical Image Computing (CMIC) and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS). The location will be at 90 High Holborn, colocating Hawkes (formerly CMIC), UCL’s AI Centre (AIC), and UCL’s Advanced Research Computing Centre (ARC), creating a vibrant hub of data-science researchers focused on machine learning, AI technologies, and healthcare applications. The institute aims to develop next-generation low-field portable MRI scanners for research and clinical use in low-resource settings. The role involves developing AI technologies for image reconstruction from sparse data and image enhancement via mappings from low-field to high-field images, utilizing methods such as Image Quality Transfer.
About you
The candidate should have a minimum of an honours degree (2:1 or higher) and a PhD in a relevant discipline. Proven experience in the theory, development, and application of machine learning/AI tools relevant to this project is essential. Strong problem-solving skills, excellent communication abilities, and a record of high-quality research publications are required.
What we offer
- 41 days holiday (27 days annual leave, 8 bank holidays, 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
- Relocation scheme for eligible posts
- On-site nursery and gym
- Enhanced maternity, paternity, and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we value diversity as a driver of creativity and innovation. We are committed to equality of opportunity and inclusivity, encouraging applications from underrepresented groups, including candidates from Black, Asian, and ethnic minority backgrounds; disabled people; LGBTQI+ individuals; and women in Grade 9 and 10 roles.
Research Fellow in AI-driven Medical Image Enhancement & Image Quality Transfer employer: UK Dementia Research Institute
Contact Detail:
UK Dementia Research Institute 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, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or workshops. Engaging with experts can provide insights into the latest research trends and may even lead to valuable connections that could support your application.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to machine learning and AI. Be ready to explain how your work aligns with the goals of the UCL Hawkes Institute and how you can contribute to their projects.
✨Tip Number 4
Reach out to current or former employees at UCL’s Department of Computer Science to gain insights about the work culture and expectations. This information can help you tailor your approach and demonstrate your genuine interest in joining their team.
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: Thoroughly read the job description for the Research Fellow position. Familiarise yourself with the specific requirements, such as the need for a PhD and experience in machine learning/AI tools.
Tailor Your CV: Craft your CV to highlight relevant experience and skills that align with the role. Emphasise your research publications and any projects related to AI-driven medical image enhancement.
Write a Compelling Cover Letter: Your cover letter should express your passion for the field and detail how your background makes you a suitable candidate. Mention specific experiences that demonstrate your problem-solving skills and communication abilities.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for grammatical errors, clarity, and ensure that all required documents are included. A polished application reflects your attention to detail.
How to prepare for a job interview at UK Dementia Research Institute
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to AI and medical imaging. Highlight any publications or presentations you've made, as this demonstrates your expertise and commitment to the field.
✨Understand the Institute's Goals
Familiarise yourself with the UCL Hawkes Institute and its mission. Knowing their focus on low-field portable MRI scanners and AI technologies will help you align your answers with their objectives during the interview.
✨Demonstrate Problem-Solving Skills
Prepare to discuss specific challenges you've faced in your research and how you overcame them. This will showcase your analytical thinking and problem-solving abilities, which are crucial for the role.
✨Communicate Clearly and Confidently
Since excellent communication skills are essential for this position, practice explaining complex concepts in a simple manner. This will not only help you connect with the interviewers but also demonstrate your ability to convey ideas effectively.