Computational Research Scientist

4 weeks ago


Belfast, United Kingdom Queens University Full time
Join Our Team as a Computational Research Fellow

We are seeking a highly skilled and motivated individual to join our team as a Computational Research Fellow at the Institute for Global Food Security at Queen's University Belfast. The successful candidate will work within the Data Modelling Platform of the Co-Centre for Sustainable Food Systems, a unique collaboration between academics from multiple disciplines.

About the Role:

  • Consolidate and integrate food systems data from across the Co-Centre, developing and implementing computational solutions to promote Findable, Accessible, Interoperable, and Reusable Data practices.
  • Work in conjunction with researchers from Momentum One Zero to explore approaches for best use of AI across the Co-Centre.
  • Engage with researchers across the Co-Centre to promote best practice in data collection and re-use, and generate data catalogues to facilitate future modelling activities.

About You:

  • You will have or be about to obtain a PhD degree in Computer Science, Computational Biology, or a relevant discipline, with relevant practical experience handling and analysing large datasets.
  • You will have experience in approaches for generating findable, Accessible, Interoperable, and Reusable (FAIR) data, and a track record of senior author publications commensurate with your stage of career.
  • Candidates with experience working with biological datasets, especially as related to Food Systems, and/or knowledge of state-of-the-art database approaches that support FAIR principles are especially encouraged to apply.

What We Offer:

  • The opportunity to work on a cutting-edge project that aims to develop a robust, resilient, and sustainable food system.
  • A collaborative and dynamic work environment with a team of experts from multiple disciplines.
  • The chance to contribute to the development of innovative and transformative solutions to transition the food system.

How to Apply:

Please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website. We look forward to receiving your application.



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