PhD Position in Neuromorphic Systems: A PhD position is available at the Institute of Neuroinformatics, University of Zurich and ETH Zurich, as part of the ELEVATE MSCA Doctoral Network. This role focuses on bridging analog and digital design in neuromorphic systems, combining electrical engineering, computational neuroscience, and machine learning to build efficient sequence processing systems.
Designation
PhD Position: Bridging Analog and Digital Design in Neuromorphic Systems
Details Table
| Detail | Information |
|---|---|
| Research Area | Neuromorphic Engineering, Electrical Engineering, Machine Learning |
| Location | University of Zurich and ETH Zurich, Switzerland |
| Eligibility | MSc in electrical engineering, physics, or related fields; analog/digital circuit design expertise |
| Last Date to Apply | Not specified; applicants are encouraged to apply promptly |
Research Area
- Neuromorphic engineering with a focus on efficient sequence processing systems.
- Exploring the intersection of biological intelligence and artificial intelligence.
- Bridging analog and digital methodologies in circuit design.
Location
Institute of Neuroinformatics, University of Zurich and ETH Zurich, Switzerland
Eligibility/Qualification
- MSc in electrical engineering, physics, or related fields.
- Strong background in analog/digital circuit design (expertise with Cadence Virtuoso and Innovus is required).
- Previous experience with tape-outs is advantageous.
- Understanding of current AI models is beneficial.
- Strong curiosity, critical thinking, and collaborative skills are essential.
Description
The successful candidate will work on:
- Designing, simulating, and implementing low-power analog and digital circuits for time-series processing.
- Testing and interfacing ICs with real-world signals.
- Conducting quantitative studies to evaluate the use of analog and digital circuit design in various applications.
- Participating in internships and contributing to research publications and presentations.
- Engaging in interdisciplinary collaboration with experts in neuroscience, computer science, and engineering.
How to Apply
Interested candidates should submit:
- A detailed CV.
- A cover letter (1-2 pages) explaining their interest in the position.
- Transcripts for BSc and MSc degrees.
- The contact information of two references.
Applications should be sent to melika@ini.uzh.ch with the subject line: “ELEVATE R6 PhD”.
Last Date to Apply
Until positon filled
For further details, please visit the ELEVATE Project page.
