Machine Learning Research Intern, Bell Labs
Nokia
Machine Learning Research Intern, Bell Labs
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 and reinforcement learning. 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.
- Duration: 3-4 months
- Target start date: 2025, Flexible
- Educational recommendations: M.Sc. / Ph.D. students in the relevant field (e.g., machine learning, robotics, mathematics, computer science, data science, programming) with software design skills.
- 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 the following potential topic:
- Reinforcement learning for autonomous robot navigation and manipulation, with potential use of foundation models.
The exact topic will be chosen based on candidates’ preferences and skills. We have world class researchers that will be instructing the topic.
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.
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, robotics, computer science, data science, programming) with software design skills.
It would be nice if you also had:
- Experience with machine learning algorithms, robotics, or related topics (reinforcement learning, optimization, statistics, etc)
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
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
We are committed to a culture of inclusion built upon our core value of respect.
About the Team
Nokia Bell Labs is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. This research has produced nine Nobel Prizes, five Turing Awards and numerous other awards. |
Job Info
- Job Category Corporate Services
- Posting Date 08/22/2025, 06:29 AM
- Locations Karakaari 13, Espoo, 02610, FI (Hybrid)
- Apply Before 09/05/2025, 06:29 AM
- Job Schedule Full time
- Role Type Individual contributor
- Job Identification 22502
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