February 7, 2024
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Rümlang, Zurich, Switzerland, Switzerland
February 7, 2024
Apply NowJob description
greenTEG, a spin-off of ETH Zurich, is developing innovative sensor solutions targeting the wearables market.
Our unique core body temperature measurement solution (CALERA®) for wearable devices empowers customers with a wide range of innovative applications such as improving sports performance, continuous and non-invasive patient monitoring, sleep
analysis or early detection of diseases.
For the development of algorithms to detect and track physiological parameters, we are looking for a data scientist with expertise in
modeling physiological time-series data.
Preferred start date: mid-february 2024
Tasks
As part of the R&D team, you will
You have a valid Master’s (or equivalent) university degree in mathematics, statistics, computer science, physics or engineering and at least 2 years of experience in algorithm development based on physiological time series data.
Furthermore, you have to be experienced in
Please provide sample Python code from one of your reference projects in
the application.
Benefits
Welcome to our team!
We offer a collegial and striving work environment in a motivated,
dynamic and high-tech oriented team.
Interested? – Join us!
Send us your application – cover letter and CV via join.com.
Please provide sample Python code from one of your reference projects with email: career(at)greenteg . com - referring to you application.
Our unique core body temperature measurement solution (CALERA®) for wearable devices empowers customers with a wide range of innovative applications such as improving sports performance, continuous and non-invasive patient monitoring, sleep
analysis or early detection of diseases.
For the development of algorithms to detect and track physiological parameters, we are looking for a data scientist with expertise in
modeling physiological time-series data.
Preferred start date: mid-february 2024
Tasks
As part of the R&D team, you will
- improve our current core body temperature algorithms and implement new ideas for tracking physiological parameters
- apply statistical modeling and machine learning to exploit data streams from multiple sensors
- prepare and analyze recorded sensor data in Python
- document your progress in detail, write reports and case studies
- lead own projects
- coordinate technical progress with external university and medical partners
- deploy models on microcontroller
You have a valid Master’s (or equivalent) university degree in mathematics, statistics, computer science, physics or engineering and at least 2 years of experience in algorithm development based on physiological time series data.
Furthermore, you have to be experienced in
- Python language for numerics, data analysis and machine learning
- data mining, processing and analysis
- statistics, machine learning concepts, pipelines and algorithms
- working with physiological time series data
- understanding the physics of heat flow and thermal conduction
- project management
- C experience is a plus
Please provide sample Python code from one of your reference projects in
the application.
Benefits
Welcome to our team!
We offer a collegial and striving work environment in a motivated,
dynamic and high-tech oriented team.
Interested? – Join us!
Send us your application – cover letter and CV via join.com.
Please provide sample Python code from one of your reference projects with email: career(at)greenteg . com - referring to you application.
