Loading...
Share this Job

Lecturer in Statistics/ Statistical Data Science

Requisition ID:  3321
Location: 

Newcastle, GB

Contract Type:  Open Ended
Posted Date: 

 

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.

 

Salary: £35,845.00 - £49,553.00 

Closing Date: 31 May 2020

 

The role

 

Applications are invited for the position of Lecturer in Statistics / Statistical Data Science from September 2020, or such other date as may be agreed.  The position is 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 University 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.  You 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, 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.

 

For informal enquiries, please contact Dr Tom Nye at tom.nye@ncl.ac.uk or on +44 (0)191 208 5369.

 

For more information about the School please click here

 

Key Accountabilities

  • To undertake independent original research in methodology for statistics/statistical data science.
  • To publish refereed articles in journals of international standing.
  • To collaborate with colleagues in the School on research in statistics/statistical data science.
  • To develop grant-funded research projects.
  • To supervise PhD students and postdoctoral researchers.
  • To undertake external professional activities that contribute to the development of methodology in statistics/statistical data science.
  • To undertake teaching in statistics/statistical data science as required.
  • To contribute to the life and work of the School in general and to the statistics section in particular.
  • To 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 problem-solving capability with the relevant personal skills, initiative and drive.
  • Strong awareness of modern methodology in statistics or statistical data science.
  • A record of high quality research in methodology for statistics or statistical data science with potential to meet the University’s standard for submission to the Research Excellence Framework and achieve international standing in research within a few years.
  • Demonstrable ability to effectively teach at University level and the willingness to supervise PhD students and postdoctoral researchers.
  • Excellent written and oral communication skills.
  • Experience of presentation of work to the national/international research community at conferences, workshops or seminars (Desirable)

 

Attributes and Behaviour

  • Excellent collaborative, interpersonal and team-working skills.
  • A clear, ambitious yet realistic vision for their research that represents a good fit with the aims of the academic unit and the delivery of research outcomes to a defined timescale.
  • Effective time management, prioritisation and organisational skills to balance the potentially conflicting demands of teaching, research and administration; and the ability to meet deadlines.
  • Ability to engage with and respond enthusiastically and positively to students and to engage counselling skills and pastoral care where appropriate.
  • Positively contribute to fostering an inclusive environment.

 

Qualifications

  • PhD in Statistics or a closely related discipline
  • Relevant teaching qualification (Desirable)

 

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 communities 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.

 

The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality.  The University also holds the HR Excellence in Research award for our work to support the career development of our researchers, and is a member of the Euraxess initiative supporting researchers in Europe.

 

Requisition ID: 3321