Within the interdisciplinary COMET project “Digital Motion” we are looking to shed light on interacting with motion and emotion data using modified or data composed music. To investigate this field, we will be building high fidelity prototypes for user testing in the lab and on the piste together with our industry partners (e.g., Atomic) and scientific partners from PLUS Sports Sciences and Salzburg Research.

The goal is to develop a mobile system that utilizes the users music or creates music based on the users movements to provide real-time embodied motion feedback in skiing.

We are looking for a student with experience in programming audio filters, composing or similar.

Type of Student

Bachelor or Master student

Required Skills

  • Sound design skills
  • Basic composing skills
  • Skills in pure data, MAX/MSP or similar

Desired Skills

  • Programming skills (i.e., pure data, MAX/MSP, android)
  • Interested in skiing and able to ski (optional)
Contact: Thomas Grah