Research Assistant in Medical Image Analysis in Belfast

Research Assistant in Medical Image Analysis in Belfast

Belfast Full-Time 33020 - 33020 £ / year (est.) Home office (partial)
Ulster University

At a Glance

  • Tasks: Contribute to medical image analysis and develop predictive models using large datasets.
  • Company: Renowned university with a commitment to innovation and excellence.
  • Benefits: Competitive salary, flexible working, and opportunities for professional development.
  • Other info: Join a supportive environment focused on gender equality and career growth.
  • Why this job: Make a real impact in healthcare by analysing patient-specific anatomy.
  • Qualifications: PhD in relevant fields and experience with statistical analysis software.

The predicted salary is between 33020 - 33020 £ per year.

Department/School: School of Engineering

Campus: Belfast (Remote working within the UK may also be considered)

Salary: £33,020 per annum

Duration: Fixed-Term for 5 months / Full-time

Closing Date: 26th August 2026 at 23:30

Reference Number:

- ABOUT US -

We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer.

- THE ROLE -

The postholder will contribute to the anatomical modelling of the trachea and oesophagus using a large dataset of CT scans. The role focuses on medical image processing and image segmentation to isolate these structures and identify key anatomical landmarks. The postholder will develop predictive models to estimate key internal features based on simple clinical parameters such as height, gender, and age. Additionally, they will construct Statistical Shape Models to predict 3D morphological variations from these same clinical parameters. The work supports a broader understanding of patient-specific anatomy, using machine learning techniques to capture population-wide variance. This position offers the opportunity to work with large-scale clinical data and develop expertise in medical image analysis. Due to the short-term nature of this post, the successful candidate must be available to commence immediately and will be required to hold proof of right to work in the UK at the time of application and for the duration of the post. We may create a 12-month waiting list for same or similar roles within the Department / Faculty. The University reserves the right to extend the waiting list across the University if required for certain posts.

- ABOUT YOU -

  • Hold a PhD (awarded or near completion with thesis submitted) in Engineering, Mathematics, Physics, Statistics or a closely related discipline.
  • Experience in statistical analysis software (e.g., R).
  • Proficiency in the development of large-scale data analysis pipelines.

Please find our employee benefits on our website.

Athena Swan Statement

The School of Engineering holds a Silver Athena SWAN Award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means on our University website. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.

Research Assistant in Medical Image Analysis in Belfast employer: Ulster University

Ulster University is an excellent employer, offering a supportive and family-friendly work environment that prioritises the health and well-being of its employees and students. With a strong commitment to professional development, the university provides ample opportunities for growth and advancement in the field of occupational health, making it an ideal place for those seeking meaningful and rewarding employment.

Ulster University

Contact Details:

Ulster University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Assistant in Medical Image Analysis in Belfast

Get Involved in Local Research Communities

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Show Off Your Projects

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Stay Up-to-Date with Industry Trends

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We think you need these skills to ace Research Assistant in Medical Image Analysis in Belfast

Medical Image Processing
Image Segmentation
Anatomical Modelling
Statistical Analysis
Machine Learning Techniques
Data Analysis Pipelines
Predictive Modelling

Some tips for your application 🫡

Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Ulster University that you have the hands-on skills they need.

Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Ulster University.

Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Ulster University does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.

Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.

How to prepare for a job interview at Ulster University

Brush Up on Lab Techniques

Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Ulster University. You might even be asked to demonstrate your understanding of these processes.

Know Your Bioinformatics Tools

Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.

Show Your Teamwork Skills

Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Ulster University's culture.

Research Recent Biotech Innovations

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