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  • ‘Recruiter in Residence’ explained

    Posted by Marie Muir in Career Development Service on October 28, 2015 ‘Recruiters in Residence’ is simply where we invite employers to campus to hold appointments with you They are 20 minute appointments held within the Career Development Service They are suitable for people...

  • Ritah Nabunje

    Ritah is a researcher with a current focus on the genetics of pulmonary fibrosis across diverse populations. She has a keen interest in translating complex genomic insights into actionable strategies for precision public health.

  • John Larrad

    We have learned with regret of the passing of John (AJ) Larrad, who worked in the Department of Physics and Astronomy from the early 1970s to his retirement in 1986.

  • CUH Library Catalogue

    The Centre has its own growing specialist library to compliment the University Library's excellent collection of urban, archaeological and local history books and journals.

  • Literary Leicester events

    Find out more about upcoming Literary Leicester events

  • Sector-specific resources

    If you already think you have an idea of what sectors interest you, browse the Prospects website according to sector. We have gathered all our expertise and information on a wide range of employment sectors to inspire you and help you find the right career for you.

  • Another excellent year for student positivity at Leicester, as it scores highly for student voice and course management in the 2024 National Student Survey

    University of Leicester records an impressive result in the Organisation and Management category and Student Voice category in the annual National Student Survey 2024

  • Major step in UK contribution to space mission to study solar wind

    The SXI consortium is led by the University of Leicester in collaboration with UCL Mullard Space Science Laboratory (UCL MSSL), the Open University and European partners.

  • Machine Learning for Engineers

    Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.

  • Machine Learning for Engineers

    Module code: EG3213 Modern engineering products increasingly rely on data, and an increase in volume of data brings a need for faster and more efficient processing.

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