Lecturer/senior Lecturer in Statistics - Newcastle upon Tyne, United Kingdom - Newcastle University

Newcastle University
Newcastle University
Verified Company
Newcastle upon Tyne, United Kingdom

3 weeks ago

Tom O´Connor

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Tom O´Connor

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Description
We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

What's in it for you? 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.

Newcastle is an inclusive global University community where everyone is treated with dignity and respect.

As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution.


Salary:


Lecturer Grade F:
£37,474 to £41,155 per annum


Lecturer Grade G:
£43,414 to £51,805 per annum


Senior Lecturer:
£53,353 to £56,592 per annum


Closing Date: 18 January 2023

The Role


Applications are invited for the position of Lecturer / Senior Lecturer in Statistics within the School of Mathematics, Statistics & Physics, with a flexible start date to be agreed.

The position is open to researchers working in Statistics, as well as in fields that are closely related.

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 £30 million 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.

Our NU Data Centre for Doctoral Training has just admitted its first intake and will run until 2028.

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 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.


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.

The University also holds the HR Excellence in Research award for our work to support the career development of our researchers.

Application is via a CV and a Cover Letter (max. 4 pages) only.


Please outline the following:

  • Your top 5 research outputs (accounting for career breaks) in which you have had a significant input. This may include journal publications and other forms of output relating to impact. For multiauthor works, describe your contribution AND research funding applied for or received.
  • What constitutes excellent teaching to you (teaching statement).
  • Your past contributions to Equality, Diversity and Inclusion (EDI) and what your contributions to EDI at Newcastle will be
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 grantfunded research projects.
  • Supervise students taking the MSc in Data Science, 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 as required.
  • 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 problemsolving capability with the relevant personal skills, initiative, and drive
  • Strong awareness of modern methodology in statistics
  • A record of highquality research in statistics or a closely related field, with potential to meet t
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