The Faculty of Science at Radboud University (Nijmegen, Netherlands) initiated the Christine Mohrmann Fellowship programme in 2016 to attract and promote …
PhD: Visual Analytics for the Sail Coach Cockpit
This PhD position will be part of a project in collaboration with the Sailing Innovation Centre (www.sailinginnovationcentre.nl/). A sailing athlete has to …
- Mekelweg, Delft, Zuid-Holland
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 - 40 uur
- € 2222 - € 2840 per maand
This PhD position will be part of a project in collaboration with the Sailing Innovation Centre (www.sailinginnovationcentre.nl/). A sailing athlete has to consider complex information e.g. the weather, the wind, the sea currents, behaviour of the boat, to decide how to act and react. Currently most training advice is based on the direct observation of the coach at sea and giving instructions through an intercom. There is no systematic analysis of the different factors that influence the success or failure of an athlete.
In collaboration with several partners, an offshore test site for the maritime sector will be set in the North Sea, the Hague. Internet and data transmission will be made available, and several sensor and imaging/video information will be provided to control the local meteorological conditions but also the behaviour of the boats. The analysis of this data is not straightforward given its complexity, heterogeneity, being time varying and prone to error. Visual analytics solutions will be provided to facilitate the analysis of the acquired information and to aid the coach on a systematic decision making process, and later on the live analysis of sailing training and potentially competitions.
The main aim of this PhD project is to develop and evaluate new, interactive visual analysis approaches that enable the extraction of patterns and high-potential hypotheses from the information provided by the "fieldlab". New insights into the mechanisms behind the success or failure of a sailing boat strategy will be extracted by augmenting the human visual system with interactive visualisation and coupled feature extraction techniques.
The project will be coupled to a PostDoc, who will investigate new technologies to make relevant information accessible to a general audience in sailing competitions and increase the engagement of the public. The work will be developed in a practical setting with strong collaboration with the sailers and coaches.
We are looking for a candidate who meets the following requirements:
• You are a talented and enthusiastic researcher.
• You have experience with or a strong background in visual analytics or visualization, computer graphics, and pattern recognition. Preferably you finished a master in Computer Science, (Applied) Mathematics, (Applied) Physics or Electrical Engineering.
• You have excellent programming skills and experience.
• You have good communication skills, and the abilty to participate successfully in the work of a multidisciplinary research team.
• You are creative, ambitious, hardworking and persistent.
• You have a good command of the English language (knowledge of Dutch is not required).
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 www.tudelft.nl/phd for more information.
To apply, please e-mail a detailed CV (with contact to two referees) along with a letter of motivation and a detailed transcript of university grades.
If applicable, please also attach a (draft) version of your Master thesis. Please send your application material before July 20, 2018 to: email@example.com. When applying for this position, please refer to vacancy number EWI2018-42.