Machine Learning Research Intern, Bell Labs

Job Description

The AI Research Lab at Bell Labs Solutions Research invites applications to Intern / Thesis worker positions in machine learning. The Lab has a long tradition of excellence in research and currently consists of 80 staff members with expertise in algorithmic and computing sciences, stochastic networks, information theory and machine learning.

The successful candidate would be working in a team consisting of machine learning scientists and engineers, including experts in deep learning, reinforcement learning and differential privacy. The team has a strong track record in inspiring and supporting thesis writing. The team provides a possibility to create new academically and industrially relevant research.

• Duration: 4-6 months
• Target start date: 2026, Flexible
• Educational recommendations: M.Sc. / Ph.D. students in the relevant field (e.g., machine learning, mathematics, telecommunications, computer science, data science) with relevant programming skills. For M.Sc. students, status in studies must allow writing an M.Sc. thesis on the work topic.
• Location: Espoo, Finland
  
  

How You Will Contribute And What You Will Learn

We are looking both M.Sc. students or PhD students to work in our team in the Bell Labs AI Research Lab ’s ML Methods and Applications Team at the Espoo site. MSc student would carry out Master’s thesis work in one of the following potential topics:

• Design and implementation of privacy-preserving machine learning algorithms with Differential Privacy
• Developing machine learning solutions for AI-driven wireless communications
  
  

The topic will be chosen based on candidates’ preferences and skills. We have world class researchers that will be instructing each of the topics.

For PhD students, we offer an internship position in which students would carry out research on the above topics. Results could potentially be part of his/her thesis.

Please indicate your preferred topic among the two options in your application (e.g., briefly in a short application letter).

Key Skills And Experience

Requirements:

• Simulation and programming skills (e.g., Matlab and Python).
• Together with the team, you should be able develop machine learning methods and applications
• English language skills – English is preferable language of your thesis and the everyday working language in our organization.
• M.Sc. / Ph.D. students in the relevant field (e.g., machine learning, mathematics, telecommunications, computer science, data science) with relevant programming skills. For M.Sc. students, status in studies must allow writing an M.Sc. thesis on the work topic.
  
  

These can also be seen as advantage:

• Experience with machine learning algorithms or related topics (optimization, statistics, etc)
• Experience with design, development and debugging software in distributed computing environments.
  
  

When applying for the position through the website, please note that we mainly consider your resume, preferably in PDF format. Other fields may be filled briefly.

Kindly note that to be able to work as a trainee for Nokia Finland, you must be located in Finland since we do not provide relocation for our trainee positions.

About Us

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.

Learn more about life at Nokia .

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 .

About The Team

Some of our benefits:

• Flexible and hybrid working schemes
• Well-being programs to support your mental and physical health
• Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
• Employee Growth Solutions to support your personalized career & skills development
• Diverse pool of Coaches & Mentors to whom you have easy access
• A learning environment which promotes personal growth and professional development - for your role and beyond