We are seeking to make Lecturer and Senior Lecturer appointments in Statistics and Machine Learning (two posts). You will have research interests in the development of methodology in at least one of: machine learning; uncertainty quantification for mathematical models; Bayesian statistics, and have interests in applications with an interdisciplinary focus. You should be committed to delivering high-quality teaching at both undergraduate and postgraduate levels and will be required to supervise MSc dissertations in statistics.

We currently have ten statisticians working in areas including: the development and application of statistical methods for archaeology, ecology, environmental science, genetic epidemiology, geology and materials science; expert knowledge elicitation; image analysis; time series analysis; uncertainty quantification for mathematical models; mathematical foundations of statistical learning theory. We are very active in interdisciplinary research and collaborate widely with other disciplines, both within and outside the University, including joint supervision of PhD students. There is a strong research ethos and an international reputation in1) research. In the 2014 Research Excellence Framework (REF), 89% of our submission was judged to be either internationally excellent or world leading.

The University’s expectations of the qualities and responsibilities of its academic staff are articulated in the concept of the ‘Sheffield Academic’. The role of the Sheffield Academic is underpinned by a number of core values that are essential to the scholarly pursuit and communication of knowledge in this university. Among them is the recognition that the pursuit of research excellence and the pursuit of teaching excellence are closely linked.

You will have A PhD in a relevant area and expertise in at least one of: machine learning; uncertainty quantification for mathematical models; Bayesian statistics.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.