HPE Labs - Research Engineer III
HybridDiegem, Flanders, Belgium
Job Summary
Contribute to externally funded research projects in neuromorphic and photonic computing, with a primary focus on HPE Belgium's EU projects developing optical spiking neural networks for radar processing, optical communication, high-energy physics, and medical imaging. Identify promising application areas for spiking and neuromorphic approaches, connect these to computational bottlenecks, and contribute to proof-of-concept demonstrations, scientific publications, and collaborative project deliverables. Collaborate with a multidisciplinary team spanning photonics, electronics, machine learning, software, and systems research, utilizing Python for design, experimentation, and data analysis.
Required Qualifications
- PhD degree in Photonics, Electrical Engineering, Physics, Computer Engineering, Computer Science, or a related field
- Strong background in one or more of the following areas: integrated photonics, photonic systems, photonic computing, neuromorphic computing, spiking neural networks, or event-driven computing
- Stellar peer-reviewed publication record in a relevant field
- Ability to contribute to cutting-edge research spanning theory, system design, modeling, experimental validation, and application development
- Team player, self-motivated, and able to work independently in a multidisciplinary research environment
- Strong writing, presentation, and verbal communication skills
- Strong hands-on background in Python
- Must be able to work on average 2 days per week from an HPE office
Desired Qualifications
- Experience with algorithm-hardware co-design of emerging hardware accelerators based on analog electronics or photonics
- Expertise in integrated photonics, photonic circuit and system design, photonic computing, or optical neural/spiking network concepts
- Expert in recent machine learning techniques
- Experience in neuromorphic computing, spiking neural networks, event-driven processing, or application-driven AI system design
- Experience with quantum dot lasers, resonant tunneling diodes, optical and electronic memristors, or similar
- Ability to translate advanced research concepts into impactful use cases and demonstrators
- Experience with machine learning frameworks such as PyTorch or TensorFlow
- Experience with experimental validation, modeling and simulation, algorithm-hardware co-design, or multidisciplinary research collaboration
- Expert in the design of optical spiking neural networks or similar
- Expert in Python coding; specifically pytorch and tensorflow expertise
- Experience with quantum dot lasers, resonant tunneling diodes, optical memristors, or similar
- Experience with algorithm-hardware co-design
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