Student project: Evaluation of algorithms and improvements of speckle plethysmography signals
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Job description
You will explore and develop novel methods for non-contact Specular Photoplethysmography (SPG), helping to push forward next-generation physiological sensing technologies that require no skin contact. You will work hands-on with optical systems, signal processing, and data analysis to uncover how subtle light reflections can reveal rich bio signals.
Main tasks:
- Explore further analyses of video images collected for SPG extraction
- Contribute on evaluating and validating an SPG system for its use in an actual settings
- Implement and refine signal-processing pipelines to extract physiological features (e.g., pulse waveforms, timing metrics)
- Support documentation and safety tests activities for SPG systems
You will join a multidisciplinary and supportive team at imec where engineers, researchers, and designers collaborate to push the boundaries of next-generation sensing technologies. We offer an inspiring environment where you can explore new technologies, work with state-of-the-art equipment, and contribute to research challenges.
What we have for you:
- Guidance from experts in biomedical sensing, optics, and signal processing
- Hands-on experience with cutting-edge non-contact sensing systems and research tools
- A collaborative atmosphere with regular knowledge-sharing and feedback moments
- The opportunity to produce tangible results that may feed into publications or future prototypes
You are an enthusiastic, curious and critical student eager to dive into the world of optical and physiological sensing. You enjoy experimenting, analyzing data, and turning complex signals into meaningful insights.
Requirements
- You are currently pursuing a Master’s degree in Biomedical Engineering, Electrical Engineering, Applied Physics, Computer Science, or a related field
- Understanding of signal processing techniques. Nice to have knowledge of optics or physiological measurements
- Experience with Python for data analysis
- Interest in experimental work, including setting up measurement systems and collecting data
- A proactive mindset, willingness to learn, and ability to work independently as well as in a multidisciplinary team
Does this position sound like an interesting next step in your career at imec? Don’t hesitate to submit your application by clicking on ‘APPLY’.
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