AI Research Fellow: Endoscopic Imaging & Multimodal Vision in London

AI Research Fellow: Endoscopic Imaging & Multimodal Vision in London

London Full-Time 35000 - 45000 £ / year (est.) No working from home possible
U

At a Glance

  • Tasks: Conduct cutting-edge AI research in advanced endoscopic imaging and interdisciplinary projects.
  • Company: Join the prestigious University College London, a leader in innovative research.
  • Benefits: Fixed-term position with opportunities for professional growth and collaboration.
  • Other info: Work in a dynamic environment at the Hawkes Institute in London.
  • Why this job: Make a real impact in healthcare through advanced AI technologies.
  • Qualifications: PhD or equivalent in related fields with strong programming skills in Python/PyTorch or TensorFlow.

The predicted salary is between 35000 - 45000 £ per year.

University College London (UCL) invites applications for a Research Fellow in AI for Advanced Endoscopic Imaging. You will join the CS department, embedded in the Hawkes Institute, contributing to AI methods for polarisation-resolved endoscopy and interdisciplinary imaging research.

The role is fixed-term until 31 August 2027, on-site in London, with requirements for a PhD or equivalent in related fields and strong Python/PyTorch or TensorFlow programming skills.

AI Research Fellow: Endoscopic Imaging & Multimodal Vision in London employer: UK Dementia Research Institute

At the UCL Institute for Materials Discovery, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through ample networking opportunities with leading experts in academia and industry, as well as our generous benefits package, including 41 days of holiday and a defined benefit pension scheme. Join us in our mission to advance materials research and make a meaningful impact in the field of biosensing technology, all while enjoying the vibrant atmosphere of London.

U

Contact Details:

UK Dementia Research Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Research Fellow: Endoscopic Imaging & Multimodal Vision in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UK Dementia Research Institute!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Research Fellow: Endoscopic Imaging & Multimodal Vision at UK Dementia Research Institute.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UK Dementia Research Institute.

Apply Directly through Our Website

When you find a suitable opening like AI Research Fellow: Endoscopic Imaging & Multimodal Vision at UK Dementia Research Institute, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Research Fellow: Endoscopic Imaging & Multimodal Vision in London

AI Methods
Endoscopic Imaging
Interdisciplinary Research
PhD or Equivalent
Python Programming
PyTorch
TensorFlow

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at UK Dementia Research Institute, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UK Dementia Research Institute. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at UK Dementia Research Institute

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UK Dementia Research Institute!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.