Lecturer in Mathematics and Statistics for Busuiness Economics (VC2020)

De Montfort University - School of Computer Science and Informatics

As part of our VC2020 lectureship programme, we are looking for an outstanding new lecturer in Mathematics for Business and Economics.

Our life-changing research is central to the vision of our expanding academic community. Almost 60% of our research activities were considered world-leading or internationally excellent in the 2014 Research Excellence Framework, achieving a rise in research quality of 15% compared to the last exercise in 2008.

Excellent teaching is at the heart of our commitment to professional, creative, and vocational education. Our passionate and enthusiastic lecturers have earned 18 National Teaching Fellowships, making DMU one of the top three universities in the UK on this measure of teaching excellence.

With work under way on the £136m transformation of our Leicester city centre campus, we are seeking outstanding academics to work in this dynamic, ambitious environment.

It is our goal to become the leading provider of professional and creative education with research that pushes boundaries and improves lives. We wish to attract more talented, professional, and creative academics to our campus.

You will be expected to lead and teach Quantitative Methods/Mathematics and Statistics for Economics and Business to students of the Faculty of Business and Law at DMU. You will also be expected to teach within a wide portfolio of topics relating to mathematics and computational mathematics for students of the School of Computer Science and Informatics at the undergraduate and postgraduate level. Furthermore, you will be expected to closely work with the colleagues of the School of Computer Science and Informatics and actively contribute to the research of the School. A prior understanding of at least one of the following areas will be appreciated: Computational Modelling in Finance and Economics, Metaheuristic Optimisation in Scheduling/Rostering/Timetabling, Cybersecurity Econometrics.

You will have a PhD in Business or Economics with a specific expertise in Mathematics/Statistics for Business, Econometrics, Financial Mathematics, or a related area. You will have experience in teaching in the higher education in mathematics and statistics for economics and business and ideally will have an industrial experience in the financial or bank sector. You will have a strong statistical background as well as a familiarity with modern professional software packages for statistics and data analysis, e.g. SPSS, STATA, and will be aware of the programming principles. You will be able to show a potential to publish in internationally excellent journals in computational mathematics or computer science. On appointment, you will develop a research portfolio, working towards submission to the next REF.

You will have an expertise and capability to teach in at least two of the following areas: Mathematics and Statistics for Economics and Business, Operational Research, Financial Mathematics, Mathematical and Computational Modelling in Economics and Business, Game Theory, Computational Intelligence in Finance and Economics.

This position is an ideal next step if you are in the early stages of your career. The School is highly collegial and appropriate training and support will be offered to aid your development. The role will attract a 50% time allocation for research and scholarly activity for the first year in post.

To discuss the post further please contact Prof. Ferrante Neri, Subject Group Leader (fneri@dmu.ac.uk).

Please quote reference: 10985

Closing Date: 10 November 2017.

Interview Date: To Be Confirmed.

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Midlands of England