Les envío este mail para promocionar una posición de beca doctoral en Delft University of Technology en Holanda. Si están interesados, pueden contactarme con un correo a d.g.mu...@tudelft.nl.
Precision health relies on technology and big data to provide personalized medicine focusing on disease prevention and early detection. This technology-driven paradigm shift promises to reduce healthcare costs and increase patients' well-being. While most of these devices are still powered by batteries, they suffer from limited battery life and large form factors and must be discarded when the battery is exhausted. Therefore, critical changes in medical technology on low-power biosignal recording and sustainable power solutions are needed to enable future personalized health. This project aims to move from heavily subsampled systems to Nyquist-rate medicine and design highly efficient, fully-integrated energy harvesting systems for self-sustainability.
This Ph.D. project will focus on a near-infrared spectroscopy (NIRS) system for cerebral hemodynamics monitoring, fully powered by multi-source energy harvesting strategies for autonomous operation. The Ph.D. candidate will investigate innovative solutions in (1) the analog front-end architecture for learning-based compressed sensing and (2) the power management unit for multi-source energy harvesting to push state of the art in wearable systems for continuous monitoring of feature-rich vitals.
The candidate will be embedded in the research groups of Dr. Dante Muratore and Dr. Sijun Du and will have close collaborations with current Ph.D. students in both groups.
Ph.D. students in TU Delft are employed as university staff: they receive a salary rather than a grant. This project has a duration of 4 years.
We make our selection based on the following general requirements:
• You should have earned an MSc degree at a recognized institute for higher education in Electrical Engineering.
• You should have a strong background in analog and mixed-signal IC design with experience using Cadence custom IC flow. A background in signal processing is desirable.
• Your Grade-Point-Average should be above 8/10. Also, your MSc thesis should have received a grade above 8/10.
• You should be able to communicate well in English (written and oral). It is expected to have a level of 7.0+ for IELTS score or 100+ for TOEFL score. Provide TOEFL/IELTS scores if available.
• Your MSc thesis or later work (publications) should reflect some original ideas. Critical and independent thinking is very important.
• You should be able to work well in a team.
• Your resume should contain the contact information of prior advisors/supervisors who can provide feedback.