PhD Position – Hybrid electronic/photonic integrated neuromorphic computing systems
Join an international EU-funded project to develop brain-inspired, energy-efficient neuromorphic hardware for large-scale machine learning.
Best for:Best for candidates with a strong background in electronics, circuit simulation, and an interest in neuromorphic hardware and machine learning.
Overview
The Peter Grünberg Institute (PGI-14) at Forschungszentrum Jülich is seeking a PhD candidate to join the 'Adaptive In Memory Computing Group' as part of the EU-funded MINDnet Doctoral Network. The research focuses on bridging the gap between biological brain efficiency and modern computational hardware by designing hybrid electronic-photonic architectures. The successful applicant will work on optimizing hardware acceleration for machine learning, modeling electronic and optical devices, and developing hardware-aware training methodologies. This position involves international collaboration, including secondments at partner institutions in Belgium and Germany, and participation in network-wide training schools.
What you'll do
- Design and optimize hybrid electrical-optical computing architectures for machine learning acceleration.
- Characterize and model electronic and optical devices to inform system design.
- Develop hardware-aware machine learning models that account for device-level constraints.
- Create and implement efficient training methodologies for neuromorphic systems.
- Conduct comparative benchmarking against state-of-the-art computational studies.
- Perform numerical modeling and validation of brain-inspired algorithms.
- Operate experimental systems for circuit-level measurements and data analysis.
- Participate in outreach activities and disseminate research to the public.
Requirements
Degree required: Master's degree in electrical/electronic engineering, computer engineering, computer science, physics, or a related field.
Degree offered: PhD
Language: English; B2 level or higher according to CEFR.
Instruction: English
- Strong background in electronics and circuit analysis.
- Experience with simulation tools such as SPICE, LTspice, Cadence, MATLAB, or Python.
- Experience with emerging memory devices.
- Excellent communication skills and ability to work in an international team.
- Proficiency in written and spoken English (at least B2 level).
- Must not have resided or carried out main activity (work, studies) in Germany for more than 12 months in the 36 months immediately before the recruitment date (MSCA mobility rule).
Funding & terms
How to apply
Applications should be submitted through the official Forschungszentrum Jülich career portal. Please follow the instructions provided on the application page to submit your documents.
- CV
- Cover letter
- Academic transcripts
- Language proficiency certificate
Contact
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