Website Queen Mary University of London

Postdoctoral Research Associate

Job Summary Table of Postdoctoral Research Associate

AttributeDetails
Job TitlePostdoctoral Research Associate
Visa SponsorshipInfo not available
Company NameQueen Mary University of London
CountryUnited Kingdom
LocationCharterhouse Square, London (On-site)
Salary Range£42,405-£49,785 per annum
Job TypeFull-time
DepartmentWilliam Harvey Research Institute
Experience LevelMid-level
Education RequirementsPhD in a computational subject
Skills and ExpertiseMachine learning, Statistical analysis, Large dataset handling
Posting Date19 June 2024
Job Expires31 July 2024
SourceQueen Mary University of London
Apply LinkApply Here

Job Description Summary

Queen Mary University of London is seeking a talented Postdoctoral Research Associate to lead a Barts Charity funded project applying machine learning methods to heart and brain imaging data. This role offers an exciting opportunity to contribute to groundbreaking research in biological aging and environmental impacts on health.

Responsibilities

  • Lead a Barts Charity funded research project
  • Apply machine learning methods to heart and brain image-derived phenotypes
  • Develop models of biological aging using UK Biobank participant data
  • Examine the role of environmental exposures, particularly obesity and pollutants, in accelerated aging
  • Collaborate with the Centre for Advanced Cardiovascular Imaging team
  • Contribute to the publication of research findings in high-impact journals
  • Present research at national and international conferences
  • Assist in the supervision of junior researchers and PhD students
  • Participate in departmental meetings and research seminars

Benefits and Perks

  • Competitive salary range of £42,405-£49,785 per annum
  • Access to a generous pension scheme
  • 30 days’ leave per annum (pro-rata for part-time/fixed-term)
  • Season ticket loan scheme
  • Comprehensive range of personal and professional development opportunities
  • Work-life balance and family-friendly policies
  • Inclusive employment policies
  • Access to campus facilities
  • Flexible working arrangements

Company Overview

Queen Mary University of London is a world-leading research-intensive university with a difference. Our history dates back to 1785, with the foundation of England’s first medical school at the Royal London Hospital. Today, we are a Russell Group university with more than 28,000 students and 4,400 staff, known for our world-leading research and innovation across all academic disciplines.

Company Culture

At Queen Mary, we believe that diversity of ideas helps us achieve the previously unthinkable. We foster social justice and improve lives through academic excellence, embracing diversity of thought and opinion in everything we do. Our culture is built on the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Career Growth Opportunities

As a Postdoctoral Research Associate at Queen Mary, you’ll have access to:

  • Cutting-edge research facilities and resources
  • Collaboration opportunities with leading experts in the field
  • Support for publishing in high-impact journals and presenting at international conferences
  • Professional development workshops and training programs
  • Potential for involvement in grant writing and project management
  • Networking opportunities within the UK Biobank and other large-scale research initiatives

Diversity, Equity, Inclusion, and Belonging

Queen Mary is committed to creating an inclusive and diverse community where everyone can thrive. We actively work to remove barriers to equality and foster an environment where all individuals feel valued and respected, regardless of their background, identity, or circumstances.

Equal Opportunity Statement

Queen Mary University of London is an equal opportunities employer, committed to fostering a diverse and inclusive work environment. We welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

Remote Work Policy

This position is based at St Martin’s Le Grand, adjacent to the Charterhouse Square Campus in London. While the role is primarily on-site, Queen Mary is open to considering flexible working arrangements to support work-life balance.

Application Process

  1. Review the job description and ensure you meet the essential criteria
  2. Prepare your CV and a tailored cover letter
  3. Submit your application through the Queen Mary online application system
  4. If shortlisted, participate in an interview process (which may include a presentation or technical assessment)
  5. Await the final decision from the hiring committee

Application Deadline

The closing date for applications is 31 July 2024. Early applications are encouraged as we reserve the right to close the application window early if a suitable candidate is found.

How to Apply

To apply for this exciting opportunity, please visit the Queen Mary job vacancies page and search for reference number 2322. You can submit your application directly through our online system.

Apply Now

FAQs or Additional Information

Q: What is the expected start date for this position?

A: The expected start date is 1st September 2024.

Q: Is visa sponsorship available for this role?

A: Please contact the HR department for information regarding visa sponsorship.

Q: Can I apply if I’m still completing my PhD?

A: Candidates should have completed their PhD by the start date of the position. However, exceptional candidates in the final stages of their PhD may be considered.

Q: What are the key research areas for this project?

A: The project focuses on applying machine learning to heart and brain imaging data, developing models of biological aging, and examining the impact of environmental factors on health.

Q: What opportunities are there for collaboration within this role?

A: You’ll have the chance to collaborate with researchers from the Centre for Advanced Cardiovascular Imaging, as well as potentially engage with partners from UK Biobank and other large-scale studies.

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