Machine Learning & Biosignal Processing Intern - #403848
The Hub
Dato: for 1 uge siden
By: København, Region Hovedstaden
Kontrakttype: Praktik
At StepUp Horse, we're dedicated to enhancing racehorse training through innovative wearable technology. Our device continuously measures and monitors vital parameters such as breathing, heart rate, and more, providing trainers and owners with real-time insights into their horses' physical conditions. This not only boosts performance but also significantly reduces the risk of injuries. Join our international team of six, where each member brings a wealth of knowledge across diverse competencies.
Are you passionate about healthcare, veterinary care, and technology?
We are seeking a full-time Engineering Intern to help us refine and develop algorithms that detect early signs of fatigue in racehorses, thus enabling better training practices and preventing injuries.
Key Responsibilities
Interested in making a significant impact in the field of racehorse training? Send us your application and any pertinent documents (GitHub, Kaggle, etc.) through TheHub. We’re excited to see how you can help us save horses!
For more information or questions please contact us at [email protected] or phone number 30428616
Are you passionate about healthcare, veterinary care, and technology?
We are seeking a full-time Engineering Intern to help us refine and develop algorithms that detect early signs of fatigue in racehorses, thus enabling better training practices and preventing injuries.
Key Responsibilities
- Data Transformation: Convert signals from our innovative sensors (breathing, IMU, ECG, GNSS, etc.) into actionable data for riders using both conventional signal processing and machine learning techniques.
- Algorithm Optimization: Enhance algorithms and models to efficiently process data on Edge devices.
- Data Collection: Manage and oversee the collection of comprehensive training data to support algorithm accuracy and effectiveness.
- Research Contribution: Participate in the creation of scientific publications related to our technology and findings.
- Fundamental understanding of signal processing
- Fundamental understanding of machine learning principles
- Skilled in Python programming
- Familiar with biosignal interpretation
- Background in sports science, physiology, or equine studies
- Experience in biomedical engineering
- Proficiency with TensorFlow
- Knowledge of Embedded C programming
- A quick learner
- An independent worker who takes initiative
- Curious and passionate about new technologies
- Creative with a strong sense of aesthetics
- An effective communicator
- Fluent in English
- A team player
Interested in making a significant impact in the field of racehorse training? Send us your application and any pertinent documents (GitHub, Kaggle, etc.) through TheHub. We’re excited to see how you can help us save horses!
For more information or questions please contact us at [email protected] or phone number 30428616
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