Ongeveer 21 uur geleden - VU - Amsterdam
The Vrije Universiteit Amsterdam School of Business and Economics established the Hermine Weijland Fellowship in 2017 with the aim of attracting and promoting …
We are looking for four PhD candidates. Two of them are related to the applied project “Show your muscles: fitness & strength training” and the other two …
We are looking for four PhD candidates. Two of them are related to the applied project “Show your muscles: fitness & strength training” and the other two to the applied project “Breaking the high load - bad coordination multiplier in overhead sports injuries”. Both projects are closely connected and have positions available at the TU Delft and VU Amsterdam.
I) PhD position in the project, “Show your muscles: fitness & strength training”with its base at the department of Human Movement Sciences, VUA will focus on the identification of biomechanical and physiological parameters, as well as the responsiveness of these parameters to training. It will include the identification of instantaneous as well as longitudinal parameters, both of which will be related to technique, fatigue and long term adaptation in the athlete.
II) PhD position in the project, “Show your muscles: fitness & strength training”, based at the department of Applied Statistics TU Delft will focus on the development of algorithms for the identification of injury aetiology, including the combination of existing observation tools for injury aetiology analysis and observational data collected on-site from video and equipment data. Whereas the prime application area of this PhD research is sports engineering, we anticipate that fundamental statistical research questions will play an important role in this project. This may lead to wider applicability of the developed methods, for example in the medical sciences.
I) PhD position (VUA)
The candidate possesses an MSc degree in Biomedical Engineering, Mechanical Engineering (specialisation Sport Engineering) or Human Movement Sciences, or a related discipline. Experience with experimental research involving human subjects, preferably within a sports setting is advantageous, even as experience in biomechanical modelling.
II) PhD position (TUD)
The candidate possesses an MSc degree in mathematics (specialization statistics or probability theory) or a related discipline such as physics, computer science or econometrics (with strong emphasis on mathematics, statistics and/or machine learning). Some experience with epidemiology, statistical modelling and handling / analysis of data sets is advantageous. The candidate must be highly motivated and ambitious, have a strong curriculum in statistical methodology and data modelling and a keen interest in sports engineering or injury prevention applications.
For both positions we require very good communication skills and fluently spoken and written English. Both positions include modest teaching duties. Candidates are expected to finish their project with a PhD thesis, and disseminate the results through publications in peer-reviewed journals, and presentations at international conferences. As close cooperation between both PhD is required an assessment focusing on collaboration with the other candidate may be part of the selection procedure.
TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit http://www.tudelft.nl/phd for more information.
For more information about this position, please contact Prof. DirkJan Veeger, section head, phone: +31 (0)15-2789530, email: firstname.lastname@example.org. For information about the selectionprocedure, please contact Nathalie van Benthem, HR advisor, email: application-3mE@tudelft.nl.
Applications should include: a letter of motivation, a detailed CV and a specified indication of interest for one of the two positions and projects. Please email your application by 30 April 2018 to Nathalie van Benthem, email: application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE18-27.