PhD Position in Biophysics-Inspired Algorithms: An exciting PhD position is available in the PGI-14 (Neuromorphic Compute Node) at Forschungszentrum Jülich, focusing on co-optimization and prototyping of biophysics-inspired algorithms and circuits. This role emphasizes developing energy-efficient hardware for applications in machine learning and signal processing.
PhD Position in Biophysics-Inspired Algorithms and Circuits
Designation
PhD Researcher
Research Area
Biophysics-Inspired Algorithms and Circuits with a focus on unconventional computing architectures.
Location
Aachen, Germany
Eligibility/Qualification
- A Bachelor’s degree followed by a Master’s in Electrical or Electronic Engineering or a closely related discipline.
- Strong foundation in analog/mixed-signal circuit design.
- Experience with emerging memory devices.
- Proficiency in simulation tools (LTspice, Cadence, MATLAB, Python).
- Interest in brain-inspired computation and experimental validation.
- Ability to work collaboratively in a multidisciplinary research environment.
Job Description
The PhD researcher will:
- Explore energy-delay efficient unconventional computing architectures.
- Conduct numerical modeling and validation of brain-inspired algorithms.
- Develop hardware-aware training and inference algorithms.
- Perform algorithm-circuit co-optimization and benchmarking.
- Support prototype circuit testing and experimental system setup.
- Collaborate with neuroscientists, device physicists, and algorithm developers.
How to Apply
Interested applicants should submit their applications through the official FZ Jülich application portal; applications via email are not accepted.
Last Date for Applying
Applications are accepted until the position is successfully filled. Therefore, it is advised to submit applications as soon as possible.
