Lecturer/Senior Lecturer/Reader/Professor in Mathematical or Statistical Data Science

Applications are invited at all levels (Lecturer – Professor) in Mathematical or Statistical Data Science for a position within the Statistics and Data Science section in the School of Mathematics, Statistics & Physics, with a flexible start date to be agreed. The successful candidate will be expected to carry out excellent research and teaching in an area of Mathematical and/or Statistical Data Science which complements and strengthens existing activities within the School.

You will benefit from a thriving environment in Data Science. Data Science is one of the key research themes of Newcastle University, and we are expanding our Data Science capacity from a position of strength. We are partners of the £30 million Newcastle-based National Innovation Centre for Data, we host the STFC Centre for Doctoral Training in Data Intensive Science, and we 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. At a School level, our research activities in Statistics, Pure and Applied Mathematics, and Physics span the theory and methods underpinning Data Science through to data-driven applications in the life sciences, the cosmos and industry. Our current research activities are supported by a broad portfolio of research funding, including from the Alan Turing Institute, EPSRC, ERC, the Heilbronn Institute, ICMS, the Leverhulme Trust, NERC, the Royal Society, and STFC, and an extensive network of Knowledge Transfer Partnerships across the North East.

You will be a key contributor to the Data Science 2030 (DS2030) faculty project to broaden our institutional offering in data science and, alongside the related AI2030 project, artificial intelligence. This will comprise a joined up educational offering at UG and PGT level, and will be sector-leading in providing forward-facing data skills embedded in academic units across all parts of the university. DS2030 will act as a solid platform to build tangible cross-institutional research and business engagement opportunities. DS2030 will be supported by strategic investment and the role holder will be a critical contributor to the success of the project.

Our aim is to employ a rich mix of colleagues with different backgrounds that will help us to:

• contribute new ideas and different perspectives to both teaching and research.
• provide diverse role models and attract a wide range of bright, active, and engaged students.
• At Reader/Prof level we are seeking candidates to pro-actively lead on ambitious academic initiatives such as Data Science 2030 that can contribute to our institutional portfolio in data science, for example, large-scale funding opportunities and/or new education provision

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 STEM disciplines in the UK. We are the proud recipients of an institutional gold Athena SWAN award and a unit-level silver award, demonstrating our achievements and ongoing commitment to achieving gender equality.

Informal enquiries may be made to Dr David Seifert (david.seifert@ncl.ac.uk) or Prof Murray Pollock (Murray.Pollock@newcastle.ac.uk).

More information about the School can be found at http://www.ncl.ac.uk/maths-physics.

To apply please follow the below link to Newcastle University Careers Page found here.