Jobs
Internship: Performance Analysis in Horse Show Jumping
Accurately determining the jump kinematics (take-off angle, speed, elevation gain, etc.) is key for performance analysis in (horse) show jumping. Measuring these parameters in daily training is important for managing training load, injury prevention, and efficient competition preparation.
Today's systems are either based on video-based 3D motion capture or inertial sensors. However, 3D motion capture is too complex, very expensive and cumbersome to use in daily training settings. Inertial sensors often lack the required accuracy because the center of mass of the horse cannot be measured directly by such sensors. Thus, there exists not yet a system which can be used to easily track horses' performance.
The aim of this project is to use the novel 2D motion tracking system DeepLabCut and combine it with our own GNSS & inertial sensor-based movement analysis tools in order to automatically compute the center of mass kinematics with a centimeter precision. The algorithm's outcome will be validated against existing data from 3D motion capture and new recordings from one of our partners.
Requirements
Good to excellent Python programming knowledge, good understanding of machine learning and computer vision.
Experience with DeepLabCut is a plus
No prior sports or performance analysis knowledge needed.
- The internship can be 3 - 6 months and is remunerated.
- Place of work is in our office. Working remotely is not possible.
- Start of the internship: at earliest in May.
- The internship can be transformed to a master project.
Don't forget to include the duration of your internship, your motivation, what's special about you, what you can contribute to Archinisis and what you want to learn during the internship. We also need to know whether your internship is mandatory of your studies.
Send the application by email to contact@archinisis.ch
General Internship Possibilities
Spontaneous Application
You are an athlete and/or you have a sports science or engineering background and want to learn more how we process the data, prepare it for visualization and create charts helping coaches and athletes understand performance? You have a basic understanding of statistics and the Python programming language? You are curious to explore how our data could be used for monitoring training performance, fatigue, injury risk? You want to work for a few weeks or months in the coolest co-working space there exists?
Then don't wait longer and apply for an internship position. Don't forget to include the duration of your internship, your motivation, what's special about you, and what you can contribute to Archinisis. We also need to know whether your internship is mandatory of your studies.
Send the application by email to contact@archinisis.ch
We usually accept 2-3 internships a year. Working remotely is not possible.