PHI Lab Research Intern 2026

NTT Research Inc.; Sunnyvale (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

A prominent research institute based in Sunnyvale, CA is offering an internship focused on physics and informatics. Interns will work closely with self-directed scientific mentors to tackle fundamental scientific problems. Responsibilities include conducting research in quantum, optical, and neural networks and writing academic papers to summarize findings. Ideal candidates should possess a strong understanding of these fields and demonstrate creativity in research application.

Qualifications

• Strong background in quantum, optical, and neural networks.
• Experience in conducting fundamental research.
• Ability to write and summarize research results.

Responsibilities

• Work with mentors to address key research issues.
• Conduct fundamental research in relevant fields.
• Write academic papers to summarize findings.

Skills

Physical neural networks with lithium niobite nanophotonics

Feasibility study for an experimental coherent Ising machine

Benchmarking against other quantum machines

Driving nonlinear topological photonics

Coherent measurements

In-situ fabrication

CMOS electronics

Optical networks

High-speed optical computing

Job description

Job Summary

Explore the frontier of physics and informatics during an internship with NTT Research. We are a basic research institute with our own computational and experimental laboratories in Sunnyvale, CA, USA. You will join our self-directed research scientists to work on fundamental scientific problems. You and your mentors will explore the frontier of physics and informatics. We respect academic freedom and always welcome innovative ideas.

Responsibilities

• Working with mentors to uncover and address key issues
• Conducting fundamental research in quantum, optical, and neural networks
• Writing up an academic paper to summarize research results

Qualifications and Skills

• Physical neural networks with lithium niobite nanophotonics
• Physical neural networks with CMOS electronics
• Feasibility study for an experimental coherent Ising machine based on measurement feedback in a novel few-photon limit
• Benchmarking against other quantum machines and modern heuristics
• Dynamics of topological and non-Hermitian photonic systems
• Driving nonlinear topological photonics by structured non-Hermitian lattices
• Single photon quantum non-linearity from gate-defined dots
• Physics of driven-dissipative non-linear networks in the presence of single-photon on-site non-linearity
• Delocalized photonic training of DNNs using coherent Netcast
• Hardware error correction in photonics
• Electronic-photonic integration for machine learning
• Temporal Trapping for Ultrafast Optical Strong Coupling
• High-Speed Time-Multiplexed Optical Computing Systems
• Frequency-multiplexed combinatorial optimization solver utilizing optical frequency combs
• Novel measurement schemes for 2D materials
• Squeezed vacuum for quantum communication and control
• Inverse design of nonlinear waveguides
• Advanced approaches to chip-to-fiber coupler
• Monolithic sync pumped TFLN OPOs
• In-situ periodic poling of ferroelectric thin films
• TFLN vertical-cavity surface-emitting OPOs