greenTEG AG Rümlang, ZH, Switzerland
greenTEG is developing innovative sensor solutions targeting the wearables market. For the development of an algorithm to detect non-invasively the core body temperature for medical and consumer applications, we are looking for an intern with expertise in algorithm development based on physiological time-series data. Responsibilities 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 sensors Writing reports and case studies Required You are student in computer science, physics mathematics or engineering and looking for an internship in an entrepreneurial atmosphere for the duration of six months. You are motivated, able to learn fast and you have good communication skills. 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. Welcome in our Team We offer a collegial and striving work environment in a motivated, dynamic and hightech oriented team.