Bell Labs Math & Algorithms Intern

Position: Bell Labs Math & Algorithms Intern
Number of Position(s): 5
Duration: 10 Weeks
Date: June 2 to Aug 8, 2025
Location: Hybrid
 

The team you'll be part of

Mathematics and Algorithms Group

We're a team of applied mathematicians and computer scientists working on machine learning fundamentals as well as applications to communication systems and services.  Our research spans information/communication theory, mechanisms for self-organizing networks, and AI/ML in services including the development of deep language models.

Education Recommendations

Currently, a candidate for a Ph.D. degree in communication theory, machine learning, or optimization with a minimum of a master's degree or equivalent in computer science, applied mathematics, electrical engineering, operations research, computational physics or chemistry, and other related STEM subjects with an accredited school in the US.

 

We have 3 teams who will host interns in the summer. 

As an intern in any teams A1, A2 or A3 (see below), you will:

• Work collaboratively with a mentor or mentors to solve a research problem in one of the areas listed below.
• Meet regularly with your mentor to review progress and work on the problem.
• Digest research literature, and prove analytical results.
• Carry out and analyze analytical results or simulation-based experiments.
   

We expect you to have:

• Strong analytical skills
• Clear written and spoken communication skills
• Ability to carry out independent research

For  A1 team, it would be necessary for you to have a good background in 

• Wireless communication theory
• Convex optimization and related topics
• High-level programming languages (Python and/or MATLAB)
• Modern machine learning methods
• Machine learning packages (Pytorch, TensorFlow, etc)
• Published research in a scientific conferences or journals

For the A2-A3 team, it would be necessary for you to have

• Deep understanding of machine learning and associated concepts (features, dimensionality reduction, embedding, autoencoders, etc.)
• A good understanding of deep learning algorithms and neural network architectures
• Experience with deep learning computing frameworks/tools such as PyTorch or Tensorflow
• Strong familiarity with LLMs and VLM

Interns are encouraged to engage in the writing of final results for scientific conferences.

 

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s 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.
Join us and be part of a company where you will feel included and empowered to succeed.

Additional Information

US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to:

• Corporate Retirement Savings Plan
• Health and dental benefits
• Short-term disability, and long-term disability
• Life insurance, and AD&D