CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Sender:
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Date:
Mon, 2 Jul 2018 10:59:55 +0000
Reply-To:
Message-ID:
Subject:
MIME-Version:
1.0
Content-Transfer-Encoding:
quoted-printable
In-Reply-To:
Content-Type:
text/plain; charset="Windows-1252"
From:
Dennis Reidsma <[log in to unmask]>
Parts/Attachments:
text/plain (80 lines)
*apologies for multiple postings*



The University of Twente is looking to hire a total of 8 post-doctoral researchers on topics related to Personalized eHealth Technology, Affective Computing, and Smart Sports Exercises.

As part of this hiring process, we now offer the following two positions.

Two post-doctoral research positions at the University of Twente:
Interaction Technology and Data Science for Smart Sports Exercises in Volleyball

In the context of the ZonMW project Smart Sports Exercises, the University of Twente is looking for two post-doctoral researchers: one to develop new interactive, digitally enhanced training exercises, and one to develop new models and methods for tracking and analyzing behavioral data of volleyball players on an instrumented floor with actuators (LED video screen) and sensors that offer minimized on-body motion sensing. The researchers will be embedded in the research groups Human Media Interaction and Biomedical Signals and Systems, respectively, working closely together with each other and the other partners in the project.

As a successful applicant, you will be working in a highly interdisciplinary research project. The aim of the project is to enhance volleyball training and trainer education through three main lines of innovation: (1) development of new interactive concepts for digitally supported training exercises, using game like interaction on an instrumented LED video floor, (2) innovation of data science for automatic analysis of behavioural data in sports exercises to provide the necessary input, and (3) innovation in conceptual thinking about sport training and PE that combines technological and non-technological elements, incorporating pedagogy and training didactics. We target a range of users, from elite players to youth and recreational teams, and including players, trainers, and teacher educators.

The project is a collaboration between a consortium of research institutes, sports organisations, and companies. The University of Twente leads the project, and is responsible for the data science and interaction technology in the project. Other partners are the Windesheim University of Applied Sciences (CALO), InnoSportLab Sport & Beweeg, Sportservice Veenendaal, and LedGo BV.

The two available positions focus on distinct, but closely aligned subtasks of the project, as described below.

Position 1: novel interactive, digitally enhanced training exercises

In this position, you will work on developing interactive training exercise systems and on evaluating user experience, perception and performance in explorative and experimental studies. This will be done iteratively, in close interaction with end users such as volleyball trainers and players.

Your profile

You are passionate to work one of the above topics, and have clearly relevant background for that. You hold a PhD degree in computer science, biomedical engineering, HCI, game design or other relevant domain. You are capable of designing and realizing interaction technology systems. An additional background in user centered research and design, games, or embodied interaction is considered an advantage.

You are an independent and self-directed researcher and developer, but also a team player able to work in a diverse and multidisciplinary consortium. You are an excellent researcher as well as someone who can contribute to the realization of actual interactive technology systems.

More information on this position

  *   http://smart-sports-exercises.nl/
  *   https://utwente.nl/en/eemcs/hmi/
  *   Dennis Reidsma – [log in to unmask]<mailto:[log in to unmask]>



Position 2: new models and methods for tracking and analyzing volleyball activities

In this position, you will be working on automatic analysis of behavioural data in sports exercises using in-floor sensor data and minimized on-body sensing modalities. This analysis work will be translated into novel tools for modelling this athlete behaviour in context, the coordinated behaviour within the team, and the temporal development of this behaviour. The data collection, analysis and modelling work will be done in collaboration with all project members and in an iterative way.

Your profile

You are passionate to work one of the above topics, and have clearly relevant background for that. \You hold a PhD degree in biomedical engineering, electrical engineering or computer science, game design or other relevant domain. You are capable of analyzing human motion, behavior and interaction with the environment using environmental and on-body sensing modalities. An additional background in data-driven model approaches is considered an advantage.

You are an independent and self-directed researcher and developer, but also a team player able to work in a diverse and multidisciplinary consortium. You are an excellent researcher as well as someone who can contribute to the realization of actual interactive technology systems.

More information on this position

  *   http://smart-sports-exercises.nl/
  *   https://utwente.nl/en/eemcs/bss/
  *   Bert-Jan van Beijnum – [log in to unmask]<mailto:[log in to unmask]>

Information and how to apply

This position is part of a larger series of open positions for post-doctoral researchers at the University of Twente on topics related to Personalized eHealth Technology, Affective Computing, and Smart Sports Exercises. For more information on the other positions and on how to apply, visit the application link below.

[APPLICATION LINK]<https://www.utwente.nl/en/organization/careers/vacancy/!/several-post-doctoral-research-positions-for-the-challenging-multidisciplinary-research-program-on-personalized-ehealth-technology/188164>

Our offer

A challenging opportunity to perform post-doctoral research in the context of a highly ambitious 2-year ZonMw-funded project. The University of Twente offers a stimulating work environment in an area of applied, forefront research and offers strong and inspiring collaboration possibilities with the medical field. You will have a 1.0 fte position for the duration of 2 years and can participate in all employee benefits the UT offers. The gross monthly salary starts with … in the first year and increases over time. Additionally, the University of Twente provides excellent facilities for professional and personal development, a holiday allowance of 8%, and an end of year bonus of 8.3%.

The organization

The University of Twente. We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. The University of Twente is the only campus university of the Netherlands; divided over five faculties we provide more than fifty educational programmes. We have a strong focus on personal development and talented researchers are given scope for carrying out groundbreaking research.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status. Because of our diversity values we do particularly support women to apply.


    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2