28 Statistics positions at University of Sheffield in United-kingdom

Statistics and AI for Engineering and Smart Manufacturing

Statistics and AI for Engineering and Smart Manufacturing School of Mathematics and Statistics PhD Research Project Competition Funded Students Worldwide Dr Wei Xing Application Deadline

Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage

Using Multivariate Statistical Surrogate Models of Displacement Cascades To Simulate High-dose Irradiation Damage Department of Materials Science and Engineering PhD Research Project Directly Funded

Understanding changes in wellbeing at work through the lens of adaptation theory

, coping mechanisms, and job resources affect these trajectories using discontinuous growth modelling and/or other appropriate statistical analyses. Additionally, the student will conduct a qualitative

Dr Wei Xing

Statistics and AI for Engineering and Smart Manufacturing

Investigating status conflict in teams led by women and ethnic minority team members

aptitude for research design and statistics and will have a background in psychology or a related discipline. They will be supervised by Dr Sam Farley, Dr Nicola Thomas, and Professor Jeremy Dawson from

An investigation of transaction-level P2P Lending in Germany and the EU

success in the German and/or EU market context. The successful applicant must have strong quantitative, statistical, and analytical skills. Demonstrated knowledge of Python and Machine Learning techniques

Estimation and subsequent use of health state utilities in cost-effectiveness models

, mathematics, or statistics. - Must have completed, or on the way to completing, a master’s degree at merit or distinction (or a non-UK equivalent) in a relevant subject How to apply: Please complete a

What’s happening with women’s drinking? Understanding gender inequalities in alcohol consumption and harm in England

in a relevant discipline (e.g. public health or a social science) Desirable: This PhD project would suit candidates with a strong mathematical or statistical background and an interest in large

A qualitative investigation of the connections between changes in women’s alcohol consumption and their participation in heavy drinking professions

interests. We anticipate the project using primarily qualitative methods, but it may also draw on systematic review methodology, survey methods or statistical analyses of secondary data to identify

AI-driven Geographic Data Integration

, with a dedication to supporting high-quality work. Strong academic background with a degree in computer science, statistics, physics, engineering, mathematics, or related fields. Proficient in Python