PhD topic: Advanced methods for biological signals quality estimation
Supervisor: Ing. Lukáš Smital, Ph.D.
We have a long-term stable team of 5 people who regularly publish in impacted journals. We process biosignals and signals from mobile devices in collaboration with the Mayo Clinic in Minnesota and the Office of Naval Research USA. We are looking for colleague which will focus on „Advanced methods for biological signals quality estimation“.
The topic of dissertation thesis is focused on biological signals quality monitoring by wearable devices (e.g. PPG, ECG). Other concurrently sensed signals such as accelerometer data can be also used for this purpose. The thesis has two main objectives. The first objective is to propose signal quality classes with respect to possible sources of interference as well as the subsequent utilization of the signal. The second objective is to design advanced algorithms for real-time signal quality estimation and to verify the usability of the signal class for its intended purpose. Applicants are expected to have knowledge of programming in Matlab or Python and base knowledge of processing and analysis of 1D signals.
Project will be solved mainly at the Department of Biomedical Engineering. However, it is expected close cooperation with our partners from Mayo Clinic (https://www.mayoclinic.org/) and Office of Naval Research (https://www.onr.navy.mil/) within the ongoing project „Health and Activity Monitoring by Wearables in Extreme Conditions” (https://www.onr.navy.mil/-/media/Files/ONRG/ONR-Global-2019-International-Science-Prospectus.ashx?la=en).
For more information about this topic please contact Lukáš Smital – firstname.lastname@example.org.
Who we are seeking:
- Deep interest in scientific activities in the field of biomedical signal processing, deep learning, signal fusion (e.g. ECG, PPG, GPS, motion data) and wearable devices
- A sound knowledge of programming languages (e.g. Matlab, Python, Android)
- A relevant degree with appropriate engineering and/or IT knowledge, transferable to the scientific environment
- English communication skills in written and oral form
What we offer:
- Participation in established scientific team which regularly publish in high prestige international journals e.g. Scientific Reports or IEEE Transactions on Biomedical Engineering
- The doctoral students complete 3-6 months of internships at partner universities abroad
- The Department provides doctoral students with a scholarship beyond the state scholarship in the form of a supplementary stipend or salary when participating in a grant project
You are invited to apply through university e-application at:
Deadline for application: May 15, 2021
Additional documents to be submitted: