At a Glance
- Tasks: Conduct cutting-edge research in CT image analysis using machine learning techniques.
- Company: Join the Nuffield Department of Surgical Sciences at John Radcliffe Hospital, Oxford.
- Benefits: Competitive salary, flexible remote work options, and opportunities for professional growth.
- Other info: Work with global experts and gain insights into healthcare AI.
- Why this job: Make a real-world impact on healthcare through innovative research and collaboration.
- Qualifications: PhD/DPhil in a relevant field and experience in interdisciplinary research.
The predicted salary is between 39424 - 47779 £ per year.
We are seeking a Full‑Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical Sciences (John Radcliffe Hospital, Headington, Oxford), working in close collaboration with the Biomedical Image Analysis group (Biomedical Institute of Biomedical Engineering, Old Road Campus Building, Headington, Oxford). The post is funded by the Horizon Europe programme for 12 months.
You will be based in Nuffield Department of Surgical Sciences, John Radcliffe Hospital as your normal place of work; however, you may agree a pattern of regular remote working with your line manager. This is a unique opportunity to develop your career at the intersection of Healthcare, Academia and Industry. Your research will translate to real‑world impact that improves patient journeys, healthcare system efficiency and environmental sustainability.
Your scientific research will focus on the development of machine/deep learning–based medical image analysis methods for computerised tomography scans (CT scans). Key applications of such ML/DL methods are illustrated by our prior research (PMIDs 33913675, 33234786, 33630463, 35286501, each IP represented by a patent filing) where we showed the potential for such applications to be ‘platform technologies’. We will next iteratively refine the clinical applications in different anatomical regions and pathological contexts, with a key focus on further refining the method of digital contrast synthesis. You are strongly encouraged to read these prior publications before the panel interview.
Work closely with clinicians and academic researchers in multiple countries across different continents. Interact with industry collaborators in different sectors of healthcare AI and gain interdisciplinary insights. Obtain enriched support for research grant applications, including research fellowships.
You should possess a relevant PhD/DPhil (or be near completion), as well as relevant experience in the area. You should also have previous experience of contributing to publications/presentations and the ability and enthusiasm to deliver results in interdisciplinary research. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings, are also essential. Experience in the analysis of CT images, particularly in the context of translational projects, would be beneficial.
We are committed to equality and valuing diversity throughout all aspects of the recruitment process and in our working environment.
Postdoctoral Researcher in Computerised Tomography Image Analysis in Oxford employer: Corehr
Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Researcher in Computerised Tomography Image Analysis in Oxford
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Corehr, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Corehr. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Postdoctoral Researcher in Computerised Tomography Image Analysis in Oxford
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Corehr. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Corehr. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Corehr
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Corehr. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Corehr to drive research projects forward.
