Phd Position In Neuromorphic Bioelectronics For Brain - computer Interfaces: CMOS Design Of Analog Front - end And Sensor Interfaces For Wearable Neuroprosthetics

PhD Position In Analog/Mixed-Signal Cmos Circuit Design For Eeg And Wearable Sensor Interfaces

Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation for intelligent brain-computer interfaces?

We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive neurotechnology.

Project Overview

This PhD project is embedded in a multidisciplinary initiative that aims to develop a wearable neuromorphic system for brain-signal interpretation and sensor-based feedback. The broader goal is to support assistive devices through real-time analysis of brain activity and physical interaction signals using energy-efficient hardware.

As a PhD candidate, your primary focus will be on designing the analog front-end (AFE) for EEG signal acquisition and developing CMOS interface circuits for various wearable sensors (e.g., pressure, temperature, motion). A key responsibility will be to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend.

Note: This position does not involve designing the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration.

Key research themes include:

• Design of low-noise, low-power analog front-end for EEG electrodes
• Spike/event encoding of neural signals for neuromorphic processors
• CMOS interface design for glove-embedded sensors (pressure, temperature, etc.)
• Signal conditioning and digitization for heterogeneous sensor inputs
• System-level validation and interfacing with SNN-based hardware

What You Will Do

• Design, simulate, and verify CMOS analog/mixed-signal circuits (Cadence, Spectre, etc.)
• Optimize circuits for power, noise, and area constraints
• Prototype and validate circuits with EEG signals and wearable sensors
• Collaborate with the SNN PhD researcher to deliver suitable input formats
• Publish your findings in international journals and conferences

We Are Looking For

• Master's degree in Electrical Engineering, Microelectronics, or a closely related field
• Strong background in analog and mixed-signal CMOS circuit design
• Familiarity with biomedical signal acquisition (especially EEG) is highly valued
• Experience with standard IC design tools (Cadence, SPICE)
• Enthusiastic about interdisciplinary collaboration and system-level thinking

What We Offer

• A 3-year PhD position (with salary and benefits per Danish standards)
• Access to advanced IC design tools, labs, and prototyping facilities
• A vibrant, interdisciplinary research environment with links to neuroscience, hardware design, and wearable technologies
• Close supervision and mentoring by experts in analog and neuromorphic electronics
• Opportunities for international collaboration, travel, and research dissemination

Join us in creating the next generation of intelligent, low-power electronics for neural and wearable sensing. Help bridge the gap between bio-signals and neuromorphic computing—starting from the source!