- comprehend, process, and evaluate hardware datasheets & schematics
- schematic & PCB layout design (e.g., in Altium, Cadence, KiCad), ideally simulation tools like LTspice
- hands-on soldering prototypes and assembling them to working units
- firmware development and debugging (C/C++)
- low-level interfaces and communication standards (I2C, SPI, UART, BLE, ...)
- understanding basic cardiac physiological processes
- experience working with physiological data
- analyze cardiac data of cardiac dysfunction for research purposes
- physiological sensing systems (e.g., PPG, ECG, EOG, ...)
- bonus: ML-based signal processing (deep learning on time series)
- a PDF showing your projects that are most relevant to this position
(this should include at least one custom physiological sensing device that you created and describe the signal processing you performed, on device or offline post-hoc) - your CV
- university score records (for undergrad and master's)
- contact details of at least two academic referees
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PhD student in Physiological Sensing/BioEng - Zürich, Schweiz - Department of Computer Science
Beschreibung
Job description
We will work on novel sensing prototypes for physiological signals, embedded systems, signal processing, and physiological modeling related to our previous work.
Your profile
Prerequisites
Candidates should have an excellent master's degree in Electrical Engineering, Bioengineering, Mechatronics, Robotics, Computer Science, or related.
Candidates should also have:
1) demonstrated experience in physiological sensing and hardware prototyping
2) demonstrated experience in basic human physiology, especially
3) demonstrated experience in signal processing
Application documents to be submitted
This position is not a match for candidates who have exclusively worked with existing datasets and designed machine learning methods for them. All applications require a demonstrated experience in sensing and hardware prototyping.
