Apply for a Summer 2025 Internship
November 21, 2024|byNEC Labs America|inNews|tagscareers, intern page, interns, internships
Our exciting internship opportunities for this Summer 2025 are now available. We are looking for students pursuing advanced degrees in Computer Science and Electrical Engineering. Internships are typically 3 months long in duration. The benefits of working for us include the opportunity to quickly become part of a project team applying cutting-edge technology to industry-leading concepts.

We have opportunities in Data Science & System Security, Integrated Systems, Media Analytics, Machine Learning, and Optical Networking & Sensing. Visit our Internship page to learn more about our programs, our Careers page for all of our employment opportunities and apply below for your internship by department and location. Good luck!
| Position | Department | Location | Currently Accepting Applications |
| DSSS – Research Intern | Data Science and System Security | Princeton, New Jersey | Yes |
| IS – Research Intern | Integrated Systems | Princeton, New Jersey | Yes |
| MA – Research Intern | Media Analytics | San Jose, California | Yes |
| ML – Research Intern | Machine Learning | Princeton, New Jersey | Yes |
| ONS – Research Intern | Optical Networking and Sensing | Princeton, New Jersey | Yes |
Read Our News Posts

Introducing the Trustworthy Generative AI Project: Pioneering the Future of Compositional Generation and Reasoning
We are thrilled to announce the launch of our latest research initiative, the Trustworthy Generative AI Project. This ambitious project is set to revolutionize how we interact with multimodal content by developing cutting-edge generative models capable of compositional generation and reasoning across text, images, reports, and even 3D videos.

Introducing Our New Project: Time Series Language Model for Explainable AI
Our new project, Time Series Language Model for Explainable AI, represents a significant leap forward in the field of forecasting and explainable AI. By combining advanced forecasting techniques with explainable AI, we are paving the way for a future where data-driven insights are not only accurate but also comprehensible and actionable.

Agentic LLMs for AI Orchestration Project: Revolutionizing Complex Workflows
The development of Agentic LLMs for AI Orchestration represents a significant advancement in artificial intelligence. By seamlessly integrating computer vision, logic, and compute modules, our LLM is poised to revolutionize the way complex workflows are managed and executed. Supported by robust research and driven by innovative training methodologies, our agentic LLM sets a new standard in AI orchestration, offering unparalleled performance and adaptability.

The Evolution of Disciplines: From Experimental Roots to Theoretical Frameworks
Chris White discusses the evolution of scientific disciplines, which often begin with exploration driven by curiosity and experimentation. As fields grow in complexity and cost, they shift to theoretical frameworks that optimize research. This transition is crucial for sustainable progress. Currently, AI and ML remain largely experimental, highlighting the need for theoretical foundations to ensure development.

Multi-Agent Simulator for Carbon Neutrality: The Technology the World Has Been Waiting For
Today, each country, government, and enterprise are urged to take effective action to fight against climate change; however, an efficient method has not been found. Even a way to accurately calculate Scope 3 carbon emissions has yet to be developed. The technology of a multi-agent simulator could be an essential step in solving worldwide challenges. We interviewed the researchers about the details of this technology.

NEC Laboratories Advances Material Design with AI-based MateriAI Platform
NEC Laboratories Europe and NEC Laboratories America have developed MateriAI, an AI-based, material design platform that accelerates the development of new, environmentally friendly materials. The prototype platform was initially designed to overcome major hurdles in the creation of new synthetic, organic and bio-based polymers, such as rubber and plastics.

