Description
The Large-Scale Integrated Photonics (LSIP) Lab at Hewlett Packard Labs is seeking an exceptional Research Scientist / Research Engineer to contribute to groundbreaking research in neuromorphic and photonic computing.
As part of HPE Belgium's participation in leading European research initiatives, you will play a key role in developing next-generation optical spiking neural networks and neuromorphic computing systems targeting challenging applications including radar signal processing, optical communications, high-energy physics, and medical imaging.
This is a unique opportunity to work at the intersection of integrated photonics, machine learning, neuromorphic computing, and advanced hardware systems within a world-class multidisciplinary research team.
Responsibilities
- Contribute to externally funded research programs focused on optical and neuromorphic computing technologies.
- Design, develop, and evaluate next-generation photonic and hybrid photonic-electronic computing architectures.
- Research and develop optical spiking neural network concepts, neuromorphic algorithms, and event-driven computing approaches.
- Identify high-impact application domains where neuromorphic and photonic computing can address critical computational bottlenecks.
- Translate advanced scientific concepts into demonstrators, prototypes, and proof-of-concept systems.
- Collaborate closely with experts in photonics, electronics, machine learning, software engineering, and systems research.
- Publish research findings in leading scientific conferences and journals.
- Contribute to project deliverables, technical reports, and presentations for European research consortia and stakeholders.
- Develop software tools, simulations, and data analysis workflows, primarily in Python.
Requirements
- PhD in Photonics, Electrical Engineering, Physics, Computer Engineering, Computer Science, or a closely related discipline.
- Strong expertise in one or more of the following areas: Integrated Photonics, Photonic Systems, Photonic Computing, Neuromorphic Computing, Spiking Neural Networks, Event-Driven Computing.
- Outstanding publication record in peer-reviewed journals and conferences relevant to the field.
- Ability to contribute across multiple stages of the research process, including theory, modeling, system design, experimentation, validation, and application development.
- Strong Python programming skills.
- Excellent written, verbal, and presentation skills.
- Self-driven, collaborative, and able to thrive in a multidisciplinary research environment.
Benefits
- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
- Investment in career development and growth.
- Unconditionally inclusive work environment.