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Senior Lecturer/ Lecturer in Statistics Northumbria University - Department of Mathematics, Physics and Electrical Engineering Ref: EAE/18/478 Salary: £40,792 - £50,132 / £35,210 - £39,609 Closing date: 09/12/2018 Contract Type: Permanent Working Type: Full Time Location: City Campus, Newcastle upon Tyne,UK The Faculty of Engineering and Environment is passionate about the principles and applications of Science and Technology in all its forms and strives to be excellent in research, teaching and innovation. Working within the Department of Mathematics, Physics and Electrical Engineering, you will provide expertise in an area of Statistics to further enhance research, teaching and entrepreneurial activities. This will include designing, developing and delivering high quality teaching activities, undertaking individual and joint research to produce quality academic outputs and inform teaching and participating in external activity to generate income and promote the subject. Candidates with expertise in biostatistics, environmental statistics or the application of statistical approaches to sports, health or any relevant area of research are welcome to apply. The department will consider high quality applicants in any area of research. You must hold a first degree and be either qualified (SL) or soon to be qualified (L) to Doctoral level in a relevant discipline and have subject expertise in statistics with specialist knowledge gained through research activity, professional practice or consultancy. Proven ability to deliver high quality research led teaching within an appropriate field and a publication profile are essential. For informal discussions you may contact Dr Pete Philipson ([log in to unmask]) or Dr Guangquan Li ([log in to unmask]). Full details, including the application process, can be found at https://www.northumbria.ac.uk/work-for-us/job-vacancies/academic-478-lecturer-or-senior-lecturer Closing date: 09/12/2018 Northumbria University is an equal opportunities employer and, as a registered supporter of the London Mathematical Society Good Practice Scheme, we welcome applications from all sectors of the community, particularly females who are currently under-represented in this area. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.