Post-Doctoral Research Visit F/M SPORTSVIZ: Advanced Situated Visualizations for Sports Videos

Contract type : Fixed-term contract

Level of qualifications required : PhD or equivalent

Fonction : Post-Doctoral Research Visit

About the research centre or Inria department

The Inria Saclay-Île-de-France Research Centre was established in 2008. It has developed as part of the Saclay site in partnership with Paris-Saclay University and with the Institut Polytechnique de Paris .

The centre has 41 project teams , 27 of which operate jointly with Paris-Saclay University and the Institut Polytechnique de Paris; Its activities occupy over 600 people, scientists and research and innovation support staff, including 44 different nationalities.

Context



Location & Duration

  • The postdoc will be hosted in the Aviz team at Inria, which is the French national research institute dedicated to digital science and technology.
  • Location: Bât 660, Digiteo Moulon, Université Paris-Saclay, 91190, Gif-Sur-Yvette
  • The postdoc funding is available for a duration of approximately two years. While the previous page lists September as the starting date, the money for the project is available from now and therefore earlier start dates are possible

Benefits package

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Vacation: around 40 days a year + possibility of exceptional leave (sick children,
  • moving home, etc.)
  • Possibility of teleworking and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer
  • equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

 

Remuneration

  • Gross salary : ~2.500 - 2.800 euros/month

Collaboration

  • The project is part of a nationally funded research project SportsViz in which we collaborate with the Ecole Centrale de Lyon and Inria Grenoble.

Travel

  • Regular travel is foreseen for this post to present research results and/or talk to athletes or coaches. Travel expenses are covered within the limits of the project.

Assignment

This postdoc project is part of a project in which we aim to improve audience engagement through advanced situated visualizations in sports videos. Specifically, we envision to use the narrative power of data visualization to engage a broader audience such as sports fans. We want to show them additional data about athletes of interest while preserving and enhancing their viewing experience.

 

For more details see the full project descriptions

Main activities

As part of this research there are multiple possible topics to start with. 

  1. Design oriented: Situated visualization onboarding. When audiences watch situated visualizations embedded in video online such as for the Olympics (examples here) it is unclear what designs should look like to be read and understood the most easily. This project involved creating and testing multiple design alternatives.
  2. Qualitative research oriented: Elicit requirements for when and how situated visualizations should appear and disappear in sports videos. Test different alternatives in an online user study. We expect from this line of research to build a series of guidelines on best design practices for situated visualizations.
  3. Perception oriented: Run perceptual studies with participants to learn how well they are able to read situated visualizations in sports videos. You can compare specific designs according to: how many different types of data viewers can track, what kind of changes they will perceive, or for how long a visualization should be visible to be useful. 
  4. User experience evaluation: Run user experience evaluations with a general population of sports fans experiences seeing situated visualization in sports videos. Create guidelines on what to improve for a general audience. 

Skills

We are looking for someone interested in this sports, motivated, and with a background in visualization and/or human-computer interaction. 

Plus:

  • Some data analysis experience (Python, R)
  • Experience working with video data
  • Experience with empirical user studies
  • Interest in a future publication
  • Experience implementing data visualizations

Benefits package

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
  • Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
  • Professional equipment available (videoconferencing, loan of computer equipment, etc.)
  • Social, cultural and sports events and activities
  • Access to vocational training
  • Social security coverage

Remuneration

Gross salary : 2.788 euros/month