Internship as Data Scientist Algorithm development for CORE Sports application

greenTEG has launched Core, the first non invasive wearable which measures accurately the core body temperature of athletes. (www. corebodytemp. com) For deeper understanding of the correlation between sports performance and core body temperature we are looking for an intern with experience in in algorithm development and pattern recognition based on physiological time-series data.

• Prepare and analyze recorded sensor data in Python
• Improve current algorithm for customer applications
• Develop machine learning routines for an algorithm based on data from multiple sensor
• Writing reports and case studies

You are a student of computer science, physics, mathematics or engineering and are looking for an internship in an entrepreneurial atmosphere for a period of six months. You are motivated, capable of learning and have good communication skills. In addition, we would like you to be very active in sports - preferably competitive sports or have done so in your past.

Furthermore, you have to be experienced in:

• working with physiological time series data
• Python language for numerics, data analysis and machine learning data mining, processing and analysis
• machine learning concepts, pipelines and algorithms
• understanding the physics of heat flow and thermal conduction
• Valid working permit for Switzerland (EU or Swiss citizen)

Please provide sample Python code to your reference projects in the application.

We offer a collegial and striving work environment in a motivated, dynamic and hightech oriented team.

Latest start: 01.03.2021