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Lecturer / Senior Lecturer in Statistics - D215731A

Newcastle University - Faculty of Science, Agriculture & Engineering - Mathematics, Statistics and Physics - Mathematics and Statistics

Location: Newcastle upon Tyne
Salary: £35,210 to £63,810 per annum. See advert text for details.
Hours: Full Time
Contract Type: Permanent
Placed On: 14th May 2019
Closes: 11th August 2019
Job Ref: 229320

Salary
£35,210 - £43,266 per annum (Lecturer Grade F)
£40,792 - £54,765 per annum (Lecturer Grade G)
£50,132 - £63,810 per annum (Lecturer Grade H)

Applications are invited for THREE positions in Statistics / Statistical Data Science within the School of Mathematics, Statistics & Physics from September 2019, or such other date as may be agreed. The positions are open to researchers in all areas of statistics or statistical data science.

The Statistics group seeks excellent researchers and dedicated teachers who will strengthen or complement our existing areas or who may further broaden our range of expertise. At Newcastle we have a wide span of interests in statistics. Research themes include Bayesian methodology for complex models; big data, scalability and computation; biostatistics; stochastic systems biology; and spatial and environmental statistics. Candidates should have strong research records and should have excellent teaching potential and communication skills.

We have many opportunities for statisticians to engage with researchers across a wide range of disciplines. We are part of the Alan Turing Institute and are linked with the Newcastle-based National Innovation Centre for Data (NICD). We are partners with the School of Computing in the development of a new MSc in Data Science and are heavily involved in the University development of Newcastle Helix, a £200 million project bringing together academia, the public sector, business and industry on a new site in the heart of the city.

You will be expected to carry out and publish high-quality research in statistical methodology, contribute to other collaborative research programmes and play a role in the teaching and administrative activities within the School.

  • Our aim is to employ a rich mix of people with different backgrounds that will help us to:
  • bring new ideas and different perspectives to both teaching and research;
  • refresh our engagement with one another and challenge our thinking;
  • enhance our collegiate environment;
  • provide more diverse role models, attract a wider range of bright, active and engaged students
  • and enhance our pastoral care.

We are keen to attract applicants who:

  • will actively contribute to all aspects of the School;
  • see a wide range of options in their own work and that of the School;
  • are enthusiastic and committed to new ventures and innovations in both teaching and research.

All applicants who fulfil the criteria are welcome. We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in mathematical sciences in the UK.

Post Available: 3 X Open Ended Full Time Lecturer/Senior Lecturer in Statistics / Statistical Data Science. Start date from September 2019 or such other date as may be agreed.

Please direct informal enquiries to Dr Tom Nye, tom.nye@ncl.ac.uk.

For more information about the School of Mathematics, Statistics and Physics, please visit: http://www.ncl.ac.uk/maths-physics.

Click here for full Job Description.

Further particulars can be found here.

Newcastle University is committed to being a fully inclusive Global University which actively recruits, supports and retains staff from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all our employees and the community they represent. We are proud to be an equal opportunities employer and encourage applications from everybody, regardless of race, sex, ethnicity, religion, nationality, sexual orientation, age, disability, gender identity, marital status/civil partnership, pregnancy and maternity, as well as being open to flexible working practices.

   
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