Lecturer in Statistics

4 weeks ago

Newcastle upon Tyne, United Kingdom Newcastle University Full time

**Salary**:
**Lecturer Grade F**: £ 39,347 to £44,263 per annum

**Lecturer Grade G**: £45,585 to £54,395 per annum

Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.

**Closing Date**: 30 November 2023

The Role

Are you a passionate and dedicated educator with a thirst for knowledge discovery and a desire to inspire the next generation? If yes, we invite you to join our school.

Applications are invited for the position of Lecturer in Statistics it the School of Mathematics, Statistics & Physics. We are seeking to attract enthusiastic academics specialising in statistics, as well as in disciplines that are closely related.

Our Statistics Group is internationally recognised for its strength in Bayesian statistics, statistical computation, biostatistics, machine learning, and applied statistics. The Statistics Group has been supported in recent years by, inter alia, BBSRC, CRUK, EPSRC, ESRC, EU, Leverhulme, MRC, NIHR and Wellcome.

We have many opportunities for statisticians to engage with researchers across a wide range of disciplines. We are partners with the Newcastle-based National Innovation Centre for Data (NICD), and with the School of Computing in the development of a new MSc in Data Science. 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.

You will be expected to research and publish high-quality papers, contribute to other collaborative research programmes and support with administrative activities. You will also foster a positive and inclusive learning environment that encourages our students to participate and think critically. You will be a mentor and support students with their academic and professional growth.

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, and who will be enthusiastic and committed to new ventures and innovations in 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.

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

A cover letter detailing how you meet the Person Specifications and how a position at Newcastle University will foster your academic career and how your research or background complements the relevant research area.
A full curriculum vitae including details of your qualifications and publications, including any relevant research funding, post-graduate supervision, technical or teaching experiences and citizenship.
A research statement of no more than two-sides of A4. Your statement should include details of your proposed research area and your research goals.
A Teaching Statement of no more than two sides of A4. Your statement should include details of your existing or proposed teaching area(s) and a description of your teaching philosophy.
Your past contributions to Equality, Diversity, and Inclusion (EDI) and what your contributions to EDI at Newcastle will be.

Please note the closing date is 30 th November 2023. Interviews are taking place w/c 20th December 2023.

Key Accountabilities

Undertake independent original research in statistics, or a closely related field such as statistical data science or machine learning
Publish refereed articles in journals of international standing
Collaborate with colleagues in the school on research in statistics, or a closely related field such as statistical data science or machine learning
Collaborate in applied research with colleagues from other schools
Develop grant-funded research projects
Supervise MSc students, PhD students and postdoctoral researchers
Undertake external professional activities that contribute to the development of methodology in statistics or a closely related field such as statistical data science or machine learning
Undertake teaching in statistics
Contribute to the life and work of the school in general and to the statistics section in particular
Carry out administrative duties as assigned by the Head of School and the School Executive Board

The Person

Knowledge, Skills and Experience
Evidence of analytical and proble

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