Research Fellow

You will be an active member of the research team assisting in the planning and delivery of the research related to the use of AI and machine learning algorithms over mass spectrometry based detection of fraud in the food supply chain.

About the person:

The successful candidate must have, and your application should clearly demonstrate that you meet the following criteria:

• Have or be about to obtain* a relevant PhD (have passed the viva) related to bio-analytical chemistry or food sciences. (*must be obtained within 3 months of commencement of employment)
• Significant and relevant experience working in an academic and/or industrial environment including:
• Lab experiments and method developing for mass spectrometry (LC-MS/ICP-MS) analysis.
• Conventional non-targeted/semi-targeted workflow for fingerprinting/profiling purposes.
• Development of AI assisted assays to detect adulteration/contamination in foods.
• At least 1 years’ experience in the use of programming language based software g. R, Python or MATLAB for machine learning model generation.
• Practical experience in the validation of analytical methods and application of machine learning algorithms in data analysis.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information in on our website.

This post is available for 8 months or until 31 March 2025, whichever is soonest. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

What we offer:

Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https://www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits/

Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality.

For further information on our commitment to Equality, Diversity and Inclusion, please visit www.qub.ac.uk/diversity.

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