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Position: Research Assistant in Sports Data Analytics for Anti-Doping
Institution: University of Kent
Location: Canterbury, Kent, United Kingdom
Duties: The successful candidate will contribute to the development of Bayesian statistical models and inferential methods for athletic performance which can be used to develop better anti-doping procedures. The project will look at joint modelling of athlete performance and biomarkers and involve longitudinal random effects models, statistical detection of unusual sets of observations and Bayesian nonparametric methods. The project is funded by the World Anti-Doping Agency
Requirements: A PhD in (or nearing completion of study for one) or equivalent, in Statistics, Machine Learning, or a closely related discipline, especially with research interests in the application of Bayesian inference in biology or medicine, data science, or other related areas; In-depth knowledge and hands-on experience with Bayesian statistical approaches; Experience of handling, analysing and extracting information from large datasets; Excellent Matlab and/or R programming skills; Enthusiasm and motivation for research
   
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Accept Cookies The University of Kent The UK's European university HomeLoginRegister Research Study Discover The University of Kent The UK's European university Research Study Discover Career Opportunities Jobs HomeAbout the UniversityKent & Medway Medical SchoolCurrent VacanciesGuidance for ApplicantsFAQContact Us Menu University of Kent Career Opportunities Jobs NATS-075-21 Research Assistant in Sports Data Analytics for Anti-Doping View All Vacancies Research Assistant in Sports Data Analytics for Anti-Doping School of Sport and Exercise Sciences Location: Canterbury Salary: £27,924 to £32,344 per annum Grade: Grade 6 Research Assistant Post Type: Full Time Contract Type: Fixed Term - 24 Months Release Date: Monday 06 September 2021 Closing Date: 23.59 hours BST on Sunday 26 September 2021 (unless otherwise stated) Reference: NATS-075-21 A postdoctoral research associate position is available in the School of Sport and Exercise Sciences at the University of Kent. We are looking for an enthusiastic and ambitious researcher who will work under the joint supervision of Professor James Hopker and Professor Jim Griffin (Department of Statistical Science, University College London), as well as working with leading international partners in anti-doping.The successful candidate will contribute to the development of Bayesian statistical models and inferential methods for athletic performance which can be used to develop better anti-doping procedures. The project will look at joint modelling of athlete performance and biomarkers and involve longitudinal random effects models, statistical detection of unusual sets of observations and Bayesian nonparametric methods. The project is funded by the World Anti-Doping Agency. More information about the research can be found in the job description (see link below).You will need to have sound knowledge of applied Bayesian methods and preferably with experience of modelling in biological or medical applications.As Postdoctoral Research Associate you will:Undertake research at an internationally competitive levelContribute to the research project including the development and application of statistical methodsDesign and execute the necessary experiments maintaining an up-to-date log of the research activity undertaken and of the obtained resultsCarefully plan the research activity making sure the milestones of the project are achieved within the expected timeframeDisseminate research results through peer-reviewed publications and conference presentationsTo be successful in this role you will have/be: A PhD in (or nearing completion of study for one) or equivalent, in Statistics, Machine Learning, or a closely related discipline, especially with research interests in the application of Bayesian inference in biology or medicine, data science, or other related areasIn-depth knowledge and hands-on experience with Bayesian statistical approachesExperience of handling, analysing and extracting information from large datasetsExcellent Matlab and/or R programming skillsEnthusiasm and motivation for researchThe School of Sport and Exercise Sciences is a leading department for the study of sport that is friendly, dynamic and innovative. Based on the University of Kent’s Canterbury Campus we are an ambitious academic department set up in 2001. The 2014 Research Excellence Framework was the School’s first research submission with the result of a GPA of 2.60 with over 50% of our work assessed as 3* or 4*. Our researchers publish extensively in leading journals and regularly secure external funding for their research. The Research Associate will also work closely with the Department of Statistical Science at the University College London. UCL have internationally-recognised research groups in applied and Bayesian statistics and were ranked 28th in the world in the QS ranking 2021.Please see the links below to view the full job description and to apply for this post. If you require further information regarding the application process please contact the Human Resources team on NATSHR@kent.ac.uk quoting ref number: NATS-075-21 We particularly welcome applications from female candidates as they are under-represented at this level in this area Further details: Job Description Additional Information Email details to a friend Apply Online Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forwardApplications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.The University of Kent values diversity and promotes equality at all levelsDue to the current COVID-19 outbreak, all interviews will take place remotely. From 1 January 2021, non-British and non-Irish nationals who do not already hold a UK immigration status will be required to obtain a visa in order to be able to work in the UK. A new points-based system will be implemented which will treat EEA and non-EEA citizens equally. For further information please visit the UK Visas & Immigration website. Find Jobs Jobs by Email Jobs by RSS Advanced Job Search Search Contact us Call us on +44 (0)1227 764000 All contacts Address: University of Kent, Canterbury Kent CT2 7NZ Visit us All open days and visits Maps and directions Social media links Connect with us on Facebook Follow us on Twitter Connect with us on LinkedIn Subscribe to us on Youtube © University of Kent Contact Us Terms of Use Cookies
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