Opportunities within the Department

Our Department offers numerous ways in which you can increase your employability.

  • Links with local businesses

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    Barnett Waddingham LLP is the UK’s largest independent provider of actuarial, administration and consultancy services. The firm comprises of over 750 staff including 64 partners and 131 actuaries. The firm was founded in 1989 and the business has grown predominantly through referrals from its clients and professional contacts.

    Our Institute for Financial and Actuarial Mathematics (IFAM) & Barnett Waddingham LLP have been offering unpaid work placements for the last 5 years. 

    The Work Placement Scheme this year is for June 2018, the Placement will be with the Pension team in the Liverpool Office. It is available for a maximum of 3 student (2nd / 3rd year undergraduate, MSc students and/ or PhD students) from the Department of Mathematical Sciences, University of Liverpool. 

     

  • Mathematical Sciences Careers Drop In Sessions

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    Iwan Williams the lead Careers Advisor for Mathematical Sciences runs regular Careers Drop-in sessions each semester in the Maths Lab(G02), Mathematical Sciences Building.

    You can gain specific advice targeted at Mathematical Sciences students and they cover a range of topics from CV help and application advice, to helping you find internships and jobs. These sessions are available to all Mathematical Sciences students although you will be made aware when they are targeted at specific students. The different topics in the past have included

    ·         Finding work experience / internships

    ·         CV and application techniques

    ·         Finding graduate roles

    These drop-in sessions will continue in the new academic year. 

     

  • Summer Research Internships

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    The Institute for Financial and Actuarial Mathematics runs a number of unpaid in-house summer research internships every year. These internships have run during the summers of 2016, 2017 and will take place in the summer of 2018 between 4th June and 12th July.

    There are two types of internship, you will either be looking at a current research topic or a real-life issue facing a local Liverpool business.

    The work entails 20 hours a week of research on mathematics over a six week period, leading up to a final team presentation of your evidence to a professional audience. The internships are available for 2nd and 3rd year Mathematical Sciences undergraduate students. Under the supervision of a member of academic staff and a PhD student.

    These internships provide you with the unique opportunity to:

    1) Develop meaningful work experience

    2) Practice the skills that employers demand in a real life setting

    3) Build transferable skills ideal for use in a graduate application including team working, communication skills, problem solving, and creativity. 

    2017 Internship (current research topic)

    The 2017 summer research internship saw 4, second-year UG students looking at micro-scale modelling of drug transport, for instance the spread of a paracetamol in a human body, emphasising the role of the cell’s membranes. The mathematics behind it involved diffusion processes and partial differential equations (pde) with various boundary conditions.

    2017 Internship (with Liverpool Businesses)

    During these internships, students answer real-work questions and see mathematical theory applied in practice. Currently in its fifth year, these internships are led by our IFAM academics and their PhD students in cooperation with Liverpool business partners, aiming to assess some of the risks they are facing in the ever changing economic landscape. Students work on providing methods, data analysis or risk management solutions varying from strategic planning recommendations to personalised insurance.

    The 2017 summer business internship saw students working with Charles Oddy on enterprise risk management, with SatSafe on pricing drivers behavior, with Eddie Stobart on networks optimization, and with Barnett Waddingham on analyzing non-financial risks of Universities.