PhD Intern: Photonics & Neuromorphic Computing Research

Hewlett Packard Enterprise; Machelen; Hybride; EUR 13 392 - 20 088; Plein temps

Résumé du poste

Hewlett Packard Enterprise's LSIP invites interns and post-docs to advance research in integrated photonics for data centers, HPC, and edge computing. The role emphasizes fundamental science and technology transfer within an international, collaborative setting.

The position supports a hybrid work model with 2 days/week in an HPE office, and targets candidates pursuing a PhD in relevant fields with interests in Si photonics, in-memory computing, quantum computing, or machine learning.

Qualifications

• Candidates working towards a PhD degree in Physics, Applied Physics, Computer Science, or Electrical Engineering.
• Strong potential for high-caliber research with a good understanding of current state of the art and trends.
• Broad, entrepreneurial interest in creating the next generation of HPE’s products and technologies.
• Able to collaborate with HPE Labs teams as well as external partners.
• Comfortable working in a strongly collaborative industrial basic research environment.
• Knowledge of Si photonics, analog electronic in-memory computing, quantum computing, statistical physics, or machine learning is a plus.

Responsabilités

• Contribute to fundamental science and develop technologies for future market applications within an applied research environment.
• Collaborate with HPE Labs research teams and external partners.
• Balance significant technical and scientific contributions with the ability to bring them to practice through innovative solutions.
• Publish and present findings where appropriate.

Connaissances

Systems programming

Software engineering

Leadership research

English mastery

Independent work

Team collaboration

Literature review

Rapid understanding

Formation

PhD candidate

Description du poste

Hewlett Packard Enterprise's LSIP invites interns and post-docs to advance research in integrated photonics for data centers, HPC, and edge computing. The role emphasizes fundamental science and technology transfer within an international, collaborative setting.

The position supports a hybrid work model with 2 days/week in an HPE office, and targets candidates pursuing a PhD in relevant fields with interests in Si photonics, in-memory computing, quantum computing, or machine learning.