Overview
The School of Mathematical Sciences is seeking to appoint a Lecturer/Senior Lecturer in Statistics to develop further the area of Statistics.
Research areas and staff
- High-dimensional multivariate statistical modelling (Dr Griffin, Dr Liverani)
- Applied Bayesian statistical inference (Dr Coad, Dr Liverani, Dr Pettit)
- Statistical models for infectious diseases (Dr Griffin)
- Adaptive designs in clinical trials (Dr Coad)
- Design and analysis of computer experiments (Dr Maruri-Aguilar)
- Complex network inference and analysis (Dr Bianconi, Dr Nicosia, Prof Latora)
- Spatial and spatio-temporal modelling (Dr Liverani)
The School is keen to strengthen and expand the current research in Statistics. The School has many ongoing collaborations with other Faculties at Queen Mary, in particular, the Barts Cancer Institute and the Wolfson Institute of Preventive Medicine.
More details on the Statistics group at Queen Mary: (information available on the Statistics page at Queen Mary)
Appointment details
This is a permanent position, with a salary of £40,865 – £60,109. The deadline is January 11th 2018. To apply, and for more information, see the Queen Mary Jobs page.
Equality and inclusion
The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for child-care support for the attendance of conferences. As part of the School’s commitment to the Athena SWAN and the LMS Good Practice principles we strongly encourage applications from women.
JOB: Lecturer/Senior Lecturer in Statistics, Queen Mary University of London, UK employer: The International Society for Bayesian Analysis
The University of Edinburgh is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the fields of Statistics and Data Science. With access to state-of-the-art facilities like the Bayes Centre and opportunities for interdisciplinary research, employees benefit from a supportive environment that prioritises professional growth and diversity. Join a prestigious institution that not only values high-quality teaching and research but also actively engages with leading initiatives such as the Alan Turing Institute.
Contact Details:
The International Society for Bayesian Analysis Recruitment Team
