PhD student in Physiological Sensing/BioEng

vor 3 Wochen

Zürich, Schweiz Department of Computer Science Vollzeit

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

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, ...)

2) demonstrated experience in basic human physiology, especially

understanding basic cardiac physiological processes experience working with physiological data analyze cardiac data of cardiac dysfunction for research purposes

3) demonstrated experience in signal processing

physiological sensing systems (e.g., PPG, ECG, EOG, ...) bonus: ML-based signal processing (deep learning on time series)

Application documents to be submitted

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

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.

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