Phd Residency-Biomedical Research
Confirmed live in the last 24 hours
Remote in USA
Experience Level
Desired Skills
Data Science
Data Structures & Algorithms
  • Ability to work closely and communicate clearly with other team members
  • Hands-on experience in one or more of the following fields: Biomedical Engineering, Data Science, Signal Processing, or Machine Learning
  • Experience designing, building, and using Python code
  • Experience applying Machine Learning methods to time-series data
  • Strong understanding of signal processing fundamentals
  • Strong experimental skills and a hands-on approach to problem solving
  • Intellectual curiosity and a positive attitude
  • Experience in handling and processing biomedical sensor data
  • Experience with quantum sensors and/or sensor arrays
  • Proficiency with version control tools such as Git
  • Currently enrolled in a STEM PhD program: math, computer science, engineering, physics, or related field. **Non-PhD post-graduate students may be considered on a case-by-case basis (e.g. MD, Masters)
  • For questions, email [email protected]
  • Reviewing and presenting literature on existing signal processing and ML methods for denoising time-series biomedical sensor data
  • Reviewing and presenting literature on paradigms for feature extraction and classification of biomedical sensor data
  • Prototyping, testing and evaluation of advanced classical, as well as ML based, digital signal processing methods on real and simulated datasets
  • Testing and evaluating feature extraction and classification algorithms on large synthetic training sets

51-200 employees

AI & quantum technology solutions