Associate Professor of Statistics

The International Society for Bayesian Analysis; Oxford; On-site; GBP 45,000 - 65,000; Full time

Job summary

An established industry player in the academic world is seeking an Associate Professor of Statistics to join their dynamic Department at the University of Oxford. This role offers the opportunity to lead the MSc in Statistical Science, engage in world-class research, and contribute to a vibrant academic community. The successful candidate will have a doctorate in Statistics or a related field and will be responsible for teaching, supervising students, and managing research projects. With state-of-the-art facilities and a commitment to diversity and inclusion, this position promises to be both rewarding and impactful for those passionate about advancing statistical science.

Benefits

Start-up funding of £10,000

College benefits

Support for research activities

Qualifications

• Doctorate required; expertise in statistical and population genetics is essential.
• Strong teaching skills for undergraduate and graduate levels.

Responsibilities

• Lead the MSc in Statistical Science and supervise students.
• Conduct original research and secure funding for projects.

Skills

Statistical Analysis

Research Funding

Teaching

Project Management

Knowledge Transfer

Machine Learning

Bioinformatics

Computational Statistics

Education

Doctorate in Statistics or related field

Job description

The Department of Statistics at the University of Oxford is seeking applications for the post of Associate Professor of Statistics. The successful candidate will also be appointed to a Non-Tutorial Fellowship at Jesus College.

The Associate Professor will join the dynamic and collaborative Department of Statistics, which carries out world-leading research in statistical and population genetics, bioinformatics, core theoretical statistics, computational statistics, machine learning, and probability. This is an exciting time for the Department, having recently relocated to an extensively-renovated building in the centre of Oxford, enhancing our vibrant research environment with state-of-the-art facilities for teaching and research.

The successful candidate will hold a doctorate in the field of Statistics or a related subject. They will be an outstanding individual who is, or has the potential to become, a leader in their field. The postholder will have the skills and enthusiasm to lecture at undergraduate and graduate levels across a wide range of topics within Statistics and to supervise students. They will become the academic lead for the Department’s MSc in Statistical Science, carry out and publish original research, secure research funding, and engage in project management and knowledge transfer activities.

The appointee will be based at the Department of Statistics, 24–29 St Giles’, Oxford, OX1 3LB, and at Jesus College, Turl Street, Oxford, OX1 3DW.

Jesus College is committed to promoting and enabling education, learning, scholarship, and research at the highest levels amongst its students and academic staff, while preserving an informal and friendly atmosphere. The Fellows form a lively multi-disciplinary and international community, regularly using College facilities to host seminars, colloquia, and conferences.

The postholder will receive a salary on a scale from £45,562 p.a. plus additional benefits including start-up funding of £10,000, and college benefits. An allowance of £2,655 p.a. would be payable upon award of Full Professor title.

To apply for this role and for further details, including the job description and selection criteria, please click on the link below:

The closing date for applications is 12:00 noon (UK time) Wednesday 30 August 2017. Interviews are planned for Tuesday 26 September 2017.

Queries about the post should be addressed to Charlotte Deane at [e-mail] or Chris Holmes at [e-mail].

Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic posts in Oxford. Committed to equality and valuing diversity.