Revolutionizing Colorectal Cancer Treatment: Join the EndoTheranostics Team

About Us

At King’s College London, we are at the forefront of medical innovation, seeking a proactive and collaborative Post Doctoral Research Associate to join our multi-national ERC Synergy Programme, EndoTheranostics. Our mission is to revolutionize the treatment and screening of colorectal cancer (CRC) through state-of-the-art technology and robust interdisciplinary collaboration.

Operating within the School of Biomedical Engineering & Imaging Sciences, this role allows you to work alongside a dynamic team of experts in fields such as artificial intelligence (AI), computer vision, robotics, and medical imaging. Our collective goal is to develop cutting-edge AI-assisted robots that enhance colorectal cancer treatment, making a significant impact on patient care.

About The Role

The EndoTheranostics project is pioneering a transformative approach to CRC management by incorporating a novel soft-tip growing eversion robot equipped with advanced capabilities. This innovative system integrates robotics with multimodal imaging and AI-assisted diagnostics, facilitating safer and more effective screening and therapeutic interventions.

As a key member of our research team, your primary focus will revolve around the development and application of advanced computer vision and machine learning techniques. These methodologies will be critical for multimodal imaging and real-time analysis during colorectal cancer screenings and treatments. You will contribute significantly to the design of AI algorithms that enhance polyp detection, tissue characterization, and provide visual guidance during robotic interventions.

This full-time position is a fixed-term contract for two years, with you playing a central role in a groundbreaking initiative.

About You

Essential Criteria

To thrive in this challenging role, candidates must possess the following skills and experiences:

1. PhD Qualification: A PhD in a relevant subject area (or nearing completion) is essential.
2. Computer Vision Knowledge: A solid understanding of algorithms for image and video processing.
3. Machine Learning Expertise: Proven experience in applying machine learning or deep learning techniques to medical image analysis.
4. Programming Skills: Strong proficiency in Python, and familiarity with C/C++ or other object-oriented languages.
5. Familiarity with AI Frameworks: Experience using PyTorch/TensorFlow for computer vision tasks.
6. Research Track Record: A history of publications in relevant research fields that demonstrate your expertise.

Desirable Criteria

While the essential criteria are pivotal, candidates with the following experiences will stand out:

1. Multi-Modal Image Analysis: Experience in this area can significantly enhance your contributions to our project.
2. Real-Time Detection Methods: Skills in clinical applications such as detection and segmentation can immensely benefit our initiatives.
3. Surgical Video Analysis: Abilities in workflow recognition, polyp detection, or tissue characterization will be advantageous.
4. 3D Reconstruction Skills: Expertise in geometric modeling from medical images is a valuable asset.
5. Translational Research Experience: Previous collaboration with clinical partners will strengthen our community.

The role seeks those who can not only meet these qualifications but also bring an innovative mindset to a cutting-edge environment.

Further Information

At King’s College London, we pride ourselves on fostering an inclusive and welcoming atmosphere. Diversity is at the heart of our community, and we are determined to ensure everyone feels connected and valued. We work closely with staff and unions to develop a culture that embraces inclusivity.

To apply, candidates must submit a CV along with a supporting statement outlining how they meet the essential criteria. Notably, if we receive a strong pool of candidates, we may use desirable criteria to help shortlist applicants, so detailing your experience in this area is highly recommended.

This role is eligible for Home Office sponsorship, enabling us to support candidates requiring the right to work in the UK.

Salary and Application Details

• Grade and Salary: £45,031 – £52,514 per annum (inclusive of London Weighting Allowance)
• Job ID: 124265
• Application Close Date: 10-Sep-2025
• Contact Person: Christos Bergeles
• Contact Details: Christos.bergeles@kcl.ac.uk

Discover more about our recruitment process by visiting our How We Recruit page.

We are excited to welcome committed and innovative individuals to our transformative team, ready to make a tangible difference in the realm of colorectal cancer treatment.