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 level

  • Contribute to the research project including the development and application of statistical methods

  • Design and execute the necessary experiments maintaining an up-to-date log of the research activity undertaken and of the obtained results

  • Carefully plan the research activity making sure the milestones of the project are achieved within the expected timeframe

  • Disseminate research results through peer-reviewed publications and conference presentations

To 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 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

The 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

Application and further details at https://jobs.kent.ac.uk/vacancy.aspx?ref=NATS-075-21

Bourse de thèse Universite St-Etienne - I-PredictAI_Final.pdf
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05.02.2021 start immediately, , EG 13 TV-L (100%), fixed term for 3 years

Leuphana University of Lüneburg stands for innovation in education and scholarship based on the values of a humanistic, sustainable and entrepreneurial university. The collaborative search for knowledge and viable solutions in the areas of education, culture, sustainability as well as management and entrepreneurship defines the university model with its award-winning College, Graduate School and Professional School. Methodological diversity and interdisciplinary cooperation characterize our academic understanding.

The Machine Learning Group at Leuphana University of Lüneburg (foundation under public law), Faculty of Business and Economics, has a vacancy for a full-time (100 %)

Research Associate (PostDoc) (m/f/d)

(salary group EG 13 TV-L)

start immediately, fixed term for 3 years.

Your tasks:

  • Extending your scientific profile e.g., by a habilitation or similar

  • Basic research in the area of Machine Learning in Sports (e.g., soccer)

  • An active role in the research group by supervising PhD students, theses, etc.

  • Teaching duties of 4 lecturing hours per week (SWS) on Bachelor and Master leave

Your profile:

  • Completed academic university degree (Master or equivalent) in the field of Computer Science, Mathematics, or similar

  • Relevant PhD thesis in the scope of Machine Learning in Sports

  • A solid number of publications in related international journals or conferences

  • Experience with Deep Learning and a focus on areas like Sports Analytics, Reinforcement Learning, Computer Vision, etc. (supported by publications)

  • International network, e.g., by co-authorships or research visits

  • Interest in interdisciplinary collaborations

  • Excellent written and spoken English

We offer:

  • Flexible and family-friendly working hours

  • An up to date computing infrastructure (e.g., DGX-1)

  • Internal and external CPD courses

  • University sports and health promotion measures for employees

  • Employer-funded pension

If you have any questions regarding the content of the position, please contact Prof. Dr. Ulf Brefeld (brefeld@leuphana.de).

Leuphana University of Lüneburg is an equal opportunity employer committed to fostering heterogeneity among its staff. Disabled applicants with equal qualifications will be given priority consideration. We are looking forward to receiving your application.

Please note our data protection information for applicants (which we currently only have in German).

Please send your application by 25.02.2021 preferably electronically (as a single merged pdf file) or by mail to:

Leuphana University of Lüneburg

Personalservice, Fabian Weiß

Subject: PostDoc Sports Analytics

Universitätsallee 1

21335 Lüneburg



Link: Leuphana Homepage