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Professor of Bayesian Statistics

University of Exeter - College of Medicine and Health - Diabetes Research

Location: Exeter
Salary: Competitive
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 2nd May 2019
Closes: 3rd June 2019
Job Ref: P01256
  • Location: Exeter
  • Salary: Competitive salary reflecting qualification and experience on Prof Band
  • For clinical appointments, salary will be on the clinical scales according to clinical experience
  • Package: Generous holiday allowances, flexible working, pension scheme (including NHS Pension if eligible) and relocation package (if applicable).
  • Closing date for applications 3rd June 2019

Following a recent major award, our Diabetes Centre of Excellence is expanding substantially.

This permanent, full time post is available at the University of Exeter Medical School, College of Medicine & Health, one of the fastest growing medical schools in the UK.

Summary of post

Professors will be senior academics recognized nationally and internationally for their expertise, drive and ambition in research, education, training and leadership, areas in which they will play major roles within the College. The post holder will be a highly influential and innovative researcher with a large research portfolio and an exemplary current record of research funding and major publications. As a leading international figure they will have the ability to attract substantial, sustained funding and world-class academics to Exeter. They will contribute to the strategic vision of the college across all areas, collaborate with our research centres, work with staff individually to ensure they achieve their potential, and have key roles in developing the research and education culture and international reputation of the University of Exeter Medical School.

We are particularly interested in specialists in Bayesian Statistics and Artificial Intelligence who can collaborate with our current teams to provide a step change in capacity and expertise in data handling, programming and Bayesian statistics. This interface between novel data methodology and clinical data is a national priority and will be an important part of this expansion. Interdisciplinary work will be with the University’s Institute of Data Science and Artificial Intelligence and the Turing Institute.

We are particularly interested in individuals who:

  • Will bring their leadership, tools and skills and contribute their expertise to this diabetes research in the areas of Bayesian Statistics, Artificial Intelligence, Immunology and Cell Biology
  • And have educational strengths in the above areas

We welcome applications from individuals who have the skills described above but who have not, as yet, applied those skills to diabetes research but are keen to do so, as well as those already working in diabetes and its associated conditions.

You can view the Job Description and Person Specification document here.

About College of Medicine and Health and Diabetes Research

University of Exeter Medical School is renowned for its world leading diabetes research www.exeter.ac.uk/diabetes.

Our world-leading diabetes research and outstanding postgraduate and professional education are underpinned by our expertise in genomics, molecular biology and cell biology, physiology and cutting-edge innovation in technology. Our advances span from discovering biological causes and mechanisms, to improving diagnosis and treatment worldwide, to prevention and supporting people to live healthier lifestyles. 

We offer generous set up packages for candidates that transfer significant research grants to the University.

Further Information

Please contact Starr Young, Recruitment Lead, to arrange an informal discussion in the first instance at diabetescareers@exeter.ac.uk

The College is proud to have a Silver Athena SWAN award in recognition of our commitment and impact to providing equality of opportunity and advancing the to advancing the careers of women in science, technology, engineering, maths and medicine (STEMM) in higher education and research.

   
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