Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design AI models for lung disease detection using video and acoustic data.
- Company: Leading UK university at the forefront of AI research.
- Benefits: Opportunity to impact healthcare, collaborate with top institutions, and advance your career.
- Why this job: Make a real difference in early lung disease detection through innovative AI solutions.
- Qualifications: PhD in a relevant field with strong machine learning and data analysis skills.
- Other info: Join a dynamic research team dedicated to tackling clinical challenges.
The predicted salary is between 36000 - 60000 £ per year.
A prominent university in the UK is seeking a Research Fellow in Computer Vision to advance an EPSRC-funded project focused on early detection of lung diseases. You will design AI-driven models applied to video and acoustic datasets while collaborating with various institutions.
Ideal candidates will hold a PhD in a relevant field and possess extensive experience in machine learning and data analysis. The role offers a unique chance to impact clinical challenges through advanced AI methodologies.
AI Research Fellow – Computer Vision for Lung Screening in Manchester employer: The Manchester Metropolitan University
Contact Detail:
The Manchester Metropolitan University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Fellow – Computer Vision for Lung Screening in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of AI and computer vision. Attend conferences, webinars, or local meetups to connect with potential collaborators and mentors who can help you land that Research Fellow position.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects in machine learning and data analysis. This could be anything from GitHub repositories to case studies. We want to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight how your experience aligns with the EPSRC-funded project and the impact you can make in lung disease detection.
We think you need these skills to ace AI Research Fellow – Computer Vision for Lung Screening in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any projects related to computer vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and lung screening. We love seeing candidates who can connect their personal motivations to the project’s goals, so let your enthusiasm show!
Showcase Collaboration Skills: Since this role involves working with various institutions, highlight any past experiences where you’ve successfully collaborated on research projects. We value teamwork, so share examples that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at The Manchester Metropolitan University
✨Know Your Stuff
Make sure you brush up on the latest advancements in computer vision and machine learning. Familiarise yourself with the specific techniques and models relevant to lung disease detection, as well as any recent publications from the EPSRC project.
✨Showcase Your Experience
Prepare to discuss your previous projects in detail, especially those involving video and acoustic datasets. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaborative Spirit
Since this role involves collaboration with various institutions, be prepared to talk about your teamwork experiences. Highlight instances where you successfully worked with others, shared knowledge, or contributed to a group project, showcasing your ability to work in a multidisciplinary environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the project and the university's research goals. This shows your genuine interest in the role and helps you understand how you can contribute effectively. Consider asking about the specific challenges they face in lung screening and how your expertise could help address them.
