Associate Professor of Statistics

The International Society for Bayesian Analysis; England; On-site; GBP 45,000 - 60,000; Full time

Job summary

The Department of Statistics at the University of Oxford seeks an Associate Professor of Statistics to join a vibrant research environment. The successful candidate will lead an MSc program, conduct groundbreaking research, and play a pivotal role in academic leadership within the department.

Benefits

Start-up funding of £10,000

College benefits

Qualifications

• Outstanding individual with leadership potential.
• Skills to lecture at undergraduate and graduate levels.
• Ability to secure research funding and manage projects.

Responsibilities

• Lead the Department’s MSc in Statistical Science.
• Carry out and publish original research.
• Supervise students and engage in knowledge transfer activities.

Skills

Leadership

Teaching

Research

Collaboration

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. The Department 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 of Statistics, having recently relocated to an extensively-renovated prominent building in the centre of Oxford. This move further enhanced our vibrant research environment, and provides state-of-the-art facilities for teaching and research, including a well-appointed IT teaching suite and two lecture theatres.

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 level, over 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. They will carry out and publish original research befitting their area of specialization, and will secure research funding and engage in the management of projects, in addition to knowledge transfer activities. A wide range of applicants is envisaged and therefore early and mid-career academics are particularly encouraged to apply. 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 has a strong commitment to promoting and enabling education, learning, scholarship and research at the highest levels amongst its students and academic staff, whilst preserving an informal and friendly atmosphere. The Fellows of the College form a lively multi-disciplinary and international community. Fellows regularly use College facilities to host seminars, colloquia and conferences of several days’ duration. A dedicated Fellows’ Resources Room provides computers, printers, a photocopier and a fax machine.

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 [e-mail] or Chris Holmes [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