At a Glance
- Tasks: Develop innovative statistical methods for infectious disease modelling and analyse hospital infection data.
- Company: The University of Nottingham, a leading institution in research and education.
- Benefits: Gain valuable research experience, publish in top journals, and present at conferences.
- Other info: Join a dynamic team with opportunities for professional growth and collaboration.
- Why this job: Make a real difference in healthcare by improving infection control through advanced modelling techniques.
- Qualifications: Strong background in statistics and machine learning; passion for research in healthcare.
The predicted salary is between 29700 - 36300 £ per year.
The University of Nottingham seeks a Research Associate/Fellow in Statistics for a fixed-term post based at University Park. The role focuses on developing cutting-edge statistical and machine learning methods to fit complex network models to hospital infection data, supporting nowcasting, forecasting and cost-effectiveness analyses in healthcare settings.
Working with Prof. Theodore Kypraios and NIHR collaborations, you will publish in high-impact journals, present at conferences, and help.
Statistical Research Fellow: Infectious Disease Modelling in Nottingham employer: University Of Nottingham
The University of Nottingham is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. Employees benefit from flexible working hours, access to health facilities, and a generous holiday allowance, making it an ideal place for those seeking meaningful part-time employment while contributing to a vibrant academic community.
