At a Glance
- Tasks: Join a dynamic team to advance AI in medical imaging and analyse large-scale cardiac datasets.
- Company: Be part of the University of Manchester, a leader in research and innovation.
- Benefits: Enjoy a competitive salary, excellent pension, health services, and generous leave.
- Other info: Flexible working arrangements available; applications from all backgrounds encouraged.
- Why this job: Make a real impact on cardiovascular health while working with cutting-edge technology.
- Qualifications: PhD in relevant fields and experience in AI, machine learning, and medical imaging required.
The predicted salary is between 37174 - 37174 £ per year.
Applications are invited for a Research Associate position, funded by the British Heart Foundation Manchester Research Excellence Award, within the Division of Informatics, Imaging & Data Sciences at the University of Manchester. The successful candidate will join the Centre for Computational Imaging and Modelling in Medicine (CIMIM), a dynamic team of researchers advancing the frontiers of AI and medical imaging.
Overall Purpose of the Job
We are seeking to appoint a researcher with experience in medical imaging and machine learning. The post, under the supervision of Dr Jinming Duan, is available as soon as possible, and will focus on large-scale cardiac image analytics. Applicants should hold, or be about to obtain, a PhD (or equivalent) in physics, engineering, computer science or applied mathematics. The successful candidate is expected to have experience in artificial intelligence and machine learning, big data processing, cardiac image analysis, data visualisation and statistical methods. Strong organisational skills, self-motivation, and excellent communication abilities are essential. A strong record of publication in internationally peer-reviewed journals is highly desirable.
The purpose of this role is to develop and apply advanced machine learning techniques to automate and accelerate the analysis of large-scale cardiac imaging datasets. The work will involve building deep learning pipelines for image segmentation, motion analysis, and data integration to support the diagnosis and prognosis of cardiovascular disease.
The appointed PDRA will:
- Design and implement end-to-end, trainable deep neural networks for whole-heart segmentation, co-registration, and shape reconstruction;
- Utilise high-performance computing platforms to perform inference and quantitative phenotyping across the UK Biobank cardiac MRI dataset;
- Explore novel temporal parameterisation methods for cardiac motion using feature tracking and Transformer-based architectures;
- Apply these advanced methods to enable accurate assessment of biventricular structure and function, with the goal of identifying heart disease and informing patient prognosis.
Along with your application, you should submit a single file containing your CV, list of publications, and research statement (max 2 pages). We support applications from those returning from a career break and are happy to discuss flexible working arrangements.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. Our University is positive about flexible working.
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CVs submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews: General enquiries: Email: People.recruitment@manchester.ac.uk Technical support: jobseekersupport.jobtrain.co.uk/support/home This vacancy will close for applications at midnight on the closing date.
Research Associate - Large-Scale Cardiac Image Analytics in Manchester employer: The University of Manchester
The University of Manchester is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration within the field of medical imaging and AI. Employees benefit from a comprehensive pension scheme, outstanding health and wellbeing services, and generous annual leave, all while working in a supportive environment that values diversity and encourages professional growth through cutting-edge research opportunities. Located in the heart of Manchester, the university provides a dynamic setting for researchers to thrive and make meaningful contributions to healthcare advancements.
Contact Details:
The University of Manchester Recruitment Team
People.Recruitment@manchester.ac.uk
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate - Large-Scale Cardiac Image Analytics in Manchester
✨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 The University of Manchester, 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 The University of Manchester. 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 Research Associate - Large-Scale Cardiac Image Analytics in Manchester
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 The University of Manchester. 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 The University of Manchester. 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 The University of Manchester
✨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 The University of Manchester. 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 The University of Manchester to drive research projects forward.
