PhD position in Analog/Mixed-Signal IC Design
36-40 hours a week
Challenge: Enabling large-scale neural recording from the surface of the brain
Change: Analog-to-information neural recording ICs
Impact: Contribute to a novel personalized therapy for depression.
Job description
Future brain-machine interfaces (BMIs) will require both high spatial density and coverage to capture the signaling of the neural pathways over the various networks in the brain. In order to deliver on their clinical promises, they will also need to be fully implantable and operate wirelessly. These requirements pose a challenge in terms of area and power consumption in the dedicated ICs used for BMIs.
In this PhD project you will investigate power-efficient circuits and architectures to miniaturize the recording electronics into a single battery-powered IC with >1000 independent channels. You will be embedded in the research group of Dr. Dante Muratore and will have close collaboration with other colleagues from the section Bioelectronics and the department Microelectronics.
Your work will allow our industrial and academic collaborators in neurobiology to identify depression biomarkers in neural signals and enable closed-loop neuromodulation in treatment-resistant depression. This can lead to minimally invasive and effective treatment for depression.
Requirements
We make our selection based on the following general requirements:
Please apply with your CV and cover letter by the 'apply' button below
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Education Backgrounds: |
Biomedical Science Electrical Engineering Healthcare Science |
Specialties: |
Analog Design Analog Power Supply Power Electronics Research (R&D) Signal Processing |
Education Level: |
Postgraduate (Masters) |
Experience: |
0 - 2 years 2 - 5 years |
Languages spoken: |
English |
Job Location: | Delft, Netherlands |
Type: Job
Deadline: 3rd September 2022
Job reference (ID): 19209
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