At a Glance
- Tasks: Develop AI-driven platforms for tissue diagnostics during robotic-assisted cancer surgeries.
- Company: Join the Hamlyn Centre at Imperial College London, a leader in healthcare innovation.
- Benefits: Enjoy a competitive salary, 41 days off, and 10 development days for skill enhancement.
- Other info: Be part of a diverse team focused on reshaping the future of surgical care.
- Why this job: Make a real difference in healthcare with cutting-edge technology and collaborative research.
- Qualifications: PhD in relevant fields and programming skills in C++/Python required.
The predicted salary is between 40000 - 50000 £ per year.
Applicants are invited to apply for a new vacancy at Research Associate level in Surgical Vision and Artificial Intelligence for intraoperative surgical guidance during cancer resection. The post is based within the Hamlyn Centre at Imperial College London and the appointed applicant will carry out research at the South Kensington laboratories. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare for both developing and developed countries. The Hamlyn Centre is part of the Institute of Global Health Innovation and is supported by two stake-holding departments, Mechanical Engineering, and Surgery & Cancer. The post is funded by the EPSRC grant ‘Self-propelled soft robotic endoscopes for next-generation gastrointestinal surgery and beyond’ – Robogast (PI Professor Ferdinando Rodriguez y Baena). This 5-year programme will build self-propelled soft robotic endoscopes for use in the diagnosis and minimally invasive treatment of conditions of the lower gastrointestinal (GI) tract.
What you would be doing
You will play a pivotal role in developing a cognitive platform for tissue diagnostics during colonoscopy. This platform will enable accurate and highly personalised tissue characterisation with the aim of improving both the efficacy and safety of tumour resections. To this effect, the project focuses on computer vision and artificial intelligence (AI) for intraoperative surgical visualisation during robotic-assisted cancer resection. You will be a key member of a large team of engineers, scientists and clinicians, from multiple departments of Imperial College and the NHS. Key responsibilities include the development of a platform that integrates endoscopic vision data with other sensing modalities such as optical spectroscopy, providing better visualisation capabilities for the robot. This will involve the use of advanced machine learning methodologies for the analysis of the multimodal and optical spectroscopy data.
What we are looking for
You will hold a PhD in Visual Computing, Machine Learning, AI, Image Guided Interventions or a closely related discipline, or equivalent research, industrial or commercial experience, and have programming experience in C++/Python, ML and computer vision. Experience of working with clinical partners is important, and you should also have a creative approach to research projects and exceptional problem‑solving skills. Communication and scientific writing skills are also required to ensure the widest impact of the work.
What we can offer you
The opportunity to continue your career at a world‑leading institution and be part of our mission to continue science for humanity. As a member of research staff you have 10 development days to use to develop your skills and explore your career prospects. Sector‑leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing. The opportunity to develop tools and resources that can be applied across different surgical contexts.
Further information
This is a full‑time fixed‑term post for 18 months with the possibility of an extension.
Research Associate in Surgical Vision and AI in London employer: SONICOM
Imperial College London offers an exceptional opportunity for a Research Associate in Surgical Vision and AI, situated within the innovative Hamlyn Centre. With a commitment to advancing healthcare through cutting-edge technology, employees benefit from a supportive and inclusive work culture, generous leave policies, and dedicated professional development days. Join a diverse team of experts and contribute to pioneering research that has the potential to transform surgical practices globally.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Surgical Vision and AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of surgical vision and AI on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your projects related to machine learning and computer vision. This is your chance to shine beyond the application!
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining your research and problem-solving approach clearly and confidently.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to show how you can contribute to the exciting work at the Hamlyn Centre.
We think you need these skills to ace Research Associate in Surgical Vision and AI in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Associate role. Highlight your experience in Visual Computing, Machine Learning, and AI, and don’t forget to mention any relevant projects or collaborations with clinical partners.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re the perfect fit for this position. Share your passion for surgical vision and AI, and how your skills can contribute to our mission at the Hamlyn Centre.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in your previous work. We love creative thinkers who can approach challenges from different angles!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly and allows you to keep track of your application status easily.
How to prepare for a job interview at SONICOM
✨Know Your Stuff
Make sure you brush up on the latest advancements in surgical vision and AI. Familiarise yourself with the specific technologies mentioned in the job description, like soft robotic endoscopes and machine learning methodologies. This will show your genuine interest and expertise in the field.
✨Showcase Your Experience
Prepare to discuss your PhD research or any relevant projects in detail. Highlight your programming skills in C++/Python and any experience working with clinical partners. Be ready to explain how your background aligns with the responsibilities of developing a cognitive platform for tissue diagnostics.
✨Problem-Solving Mindset
Expect to face some technical questions or hypothetical scenarios during the interview. Practice articulating your thought process when tackling complex problems, especially those related to computer vision and AI. This will demonstrate your creative approach to research and exceptional problem-solving skills.
✨Communicate Effectively
Since communication is key in this role, practice explaining your research and ideas clearly and concisely. Prepare to discuss how you would collaborate with engineers, scientists, and clinicians. Strong scientific writing skills are also essential, so be ready to share examples of your written work if asked.
