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AI-Based Cybersecurity Research Intern

Nokia

Nokia

Software Engineering, Data Science
United States
Posted on Dec 4, 2025

Number of Positions: 1

Duration: 10 weeks, Full Time

Date: June 1 – August 7, 2025

Location: Hybrid, in Murray Hill, NJ.

EDUCATIONAL RECOMMENDATIONS

Actively pursuing a PhD degree in Computer Science, Engineering, Mathematics, or a related field while enrolled at an accredited US University or College.


Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.



About the Business Group

The Strategy and Technology organization drives Nokia’s future innovation by identifying value-creation opportunities, setting a unified company vision, and developing coherent business, technology, and architecture strategies. It establishes a research foundation for new products and solutions while providing critical infrastructure to support secure and effective execution across all Nokia business units.

Nokia Bell Labs, the world-renowned industrial research arm of Nokia has pioneered breakthrough foundational technologies over the past 100 years like the transistor, laser, Unix, and solar cell - shaping modern communications, computing and connectivity. Today, it drives innovation in AI, quantum computing, 6G, and space communications, bridging groundbreaking research to real-world applications with meaningful impact on society. With ten Nobel Prizes and five Turing Awards, Nokia Bell Labs continues to define the future of technology.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

Some of our benefits for students in the US:
  • Flexible and hybrid working schemes to balance study, work, and life
  • Professional development events and networking opportunities
  • Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
  • Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
  • Employee Growth Solutions, mentorship programs, and coaching support for your career development
  • A learning environment that fosters both personal growth and professional development – for your role and beyond

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

Join our team as a Summer Intern and contribute to the development of disruptive AI-driven analytical capabilities for understanding the risk posture of complex systems. We are seeking talented and motivated students with a passion for pushing the boundaries of technology, particularly by exploring how to identify relationships and predict outcomes in dynamic environments using advanced AI/ML techniques. You will support exploratory projects investigating foundational problems that can lead to new insights, enhanced products, or new business opportunities. If you are excited about applied research and eager to make an impact with intelligent analytical methods, we encourage you to apply. This opportunity is for a summer internship conducted at Bell Labs headquarters in Murray Hill, NJ, and a US citizenship or residency, or US F1-CPT visa is required.
  • Knowledge of AI/ML foundations and concepts related to identifying patterns, forecasting outcomes, or evaluating system behavior.
  • Demonstrable programming skills and interest in developing functional prototypes. Python experience preferred.
  • Strong communication abilities, including presenting work to both technical and non-technical audiences.
  • A proactive approach, steady dedication to team goals, and eagerness to take on new tasks.
  • Ability to work with a high degree of ownership with minimal supervision.

Nice to Have

  • Experience with system reliability evaluation or dynamic system modeling.
  • Interest in exploring underlying causes and effects, impact evaluation, root-cause investigation, or outcome forecasting.
  • Experience incorporating data-informed insights into AI-enabled guidance tools or straightforward automation workflows.
  • Previous Nokia intern or co-op experience.

As part of our team, you will:

  • Perform research and prototyping in AI/ML-based methods, focusing on practical exploration and idea development.
  • Assist in developing models to interpret relationships and anticipate system behaviors across a variety of conditions, using advanced algorithms.
  • Facilitate the creation of exploratory scenarios and summarize insights that help guide team choices, potentially using AI-enhanced simulations.
  • Stay current with relevant research directions, explore new possibilities, and help expand the capabilities of modern AI approaches.
  • Contribute to internal demonstrations, knowledge exchange, and clear communication of outcomes to stakeholders.
  • Work closely with researchers, engineers, and partner teams to advance common goals.