At a Glance
- Tasks: Join a team to develop AI tools for analysing medical data and improving diagnostics.
- Company: Queen Mary University of London, a leading academic research institution.
- Benefits: Competitive salary, access to state-of-the-art facilities, and collaborative research environment.
- Other info: Opportunity for career growth in a dynamic, multidisciplinary team.
- Why this job: Make a real impact in healthcare by applying AI in digital pathology.
- Qualifications: PhD in relevant field and experience in machine learning and medical imaging.
The predicted salary is between 36572 - 43722 £ per year.
Queen Mary University of London is seeking to appoint a Postdoctoral Research Assistant to contribute to pioneering research at the intersection of artificial intelligence and digital pathology. The position is based within a leading academic research environment and supports ongoing projects focused on applying advanced computational methods to biomedical imaging and pathology data.
The successful candidate will work as part of a multidisciplinary team involving clinicians, data scientists, and researchers, contributing to the development and application of AI-driven tools for the analysis of complex medical datasets. The role includes designing and implementing machine learning models, processing large-scale pathology imaging data, and contributing to translational research aimed at improving diagnostic and clinical outcomes.
Responsibilities include:
- Conducting independent and collaborative research
- Developing novel algorithms and computational pipelines
- Preparing research outputs for publication in high-impact journals
- Supporting grant-related activities
- Engaging in academic dissemination through conferences and workshops
- Contributing to the broader research objectives of the institution
This is a fixed-term research position offering an opportunity to work within a highly collaborative and internationally recognised research setting, with access to state-of-the-art facilities and resources.
Eligibility Criteria:
- A PhD (or near completion) in Computer Science, Artificial Intelligence, Biomedical Engineering, or a closely related discipline
- Demonstrated experience in machine learning, deep learning, or computer vision
- Experience working with medical imaging or digital pathology data
- Strong programming background and experience handling large datasets
- Ability to work independently and as part of a multidisciplinary research team
- Evidence of research output or contributions to academic publications
Required Expertise/Skills:
- Proficiency in programming languages such as Python
- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch)
- Strong understanding of image analysis and computer vision techniques
- Data preprocessing, model development, and evaluation skills
- Analytical thinking and problem-solving ability
- Scientific writing and communication skills
- Familiarity with research ethics and data governance
Salary Details: £36,572 – £43,722 per annum (Grade 4)
Postdoctoral Research Assistant in Artificial Intelligence and Digital Pathology employer: RFCSR
Imperial College London is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and interdisciplinary research. As a Research Associate, you will have access to cutting-edge facilities and the opportunity for professional growth through mentorship and publishing your findings, all while contributing to impactful advancements in biomedical engineering within a prestigious academic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Artificial Intelligence and Digital Pathology
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend conferences, and engage with researchers on platforms like LinkedIn. You never know who might have the inside scoop on job openings or collaborations.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and digital pathology. This can be a game-changer when you're chatting with potential employers or at networking events.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in your field. Practice explaining your research and how it relates to the role. We recommend doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Postdoctoral Research Assistant in Artificial Intelligence and Digital Pathology
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience in machine learning, deep learning, and any work with medical imaging. We want to see how your skills align with our research goals!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about AI and digital pathology. Share specific examples of your past projects and how they relate to the position. This is your chance to shine!
Showcase Your Research Experience:Don’t forget to mention any publications or research outputs you've contributed to. We love seeing evidence of your academic achievements and how you can bring that expertise to our team.
Apply Through Our Website:For the best chance of success, make sure to apply through our official website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at RFCSR
✨Know Your Stuff
Make sure you brush up on your knowledge of artificial intelligence, digital pathology, and machine learning. Be ready to discuss specific projects you've worked on, especially those involving medical imaging or large datasets. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Skills
Prepare to demonstrate your programming skills, particularly in Python, and your experience with frameworks like TensorFlow or PyTorch. You might be asked to solve a problem on the spot, so practice coding challenges related to image analysis or model development beforehand.
✨Collaborative Spirit
Since this role involves working in a multidisciplinary team, be ready to talk about your teamwork experiences. Share examples of how you've collaborated with clinicians or data scientists in the past, and highlight your ability to communicate complex ideas clearly.
✨Research Output Matters
Be prepared to discuss your research outputs and any publications you've contributed to. If you have experience preparing papers for high-impact journals, mention that! It’s a great way to show your commitment to academic excellence and your understanding of the publication process.
