Intern (M/F/D) Advanced Technology

Adtran, Inc.; München; On-site; EUR 11,000 - 16,000; Full time

Benefits offered by this job

Mentorship

International environment

Flexible hours

Fitness allowance

Travel cost allowance

Kindergarten allowance

Drinks and fruits

Job summary

Adtran, Inc. in Munich is seeking a highly motivated Master’s student for a research internship in our Advanced Technology team to explore Failure Management in Optical Networks using Machine Learning.

This 3‑month program offers mentorship from a senior researcher, hands‑on experience with cutting‑edge technologies, and the potential to write a master’s thesis based on the work.

The role expects independent work, strong analytics, and good collaboration skills in an international environment.

Qualifications

• Currently enrolled in a Master’s program in Telecommunication, Computer science, Electrical engineering, or related field.
• Knowledge of Python and machine learning techniques.
• Strong analytical and problem‑solving skills.
• Experience with SDN controllers or Docker is a plus, but not required.
• Ability to work independently and proactively.
• Good communication skills and ability to work collaboratively in a team environment.

Responsibilities

• Review the current state of the art in failure management for Optical Transport Networks (OTN).
• Investigate suitable machine learning algorithms for data generation and failure prediction.
• Present research findings in internal meetings.
• Prepare a final report summarizing the research outcomes.

Skills

Python

Machine Learning

Analytical Skills

Problem Solving

SDN & Docker (plus)

Education

Master's student in Telecommunication/CS/EE

Tools

Docker

SDN Controllers

Job description

Welcome!

Our Growth is Creating Great Opportunities!

Thanks for your interest in working on our team!

We are currently looking for a highly motivated and flexible Intern (M/F/D) to join our Advanced Technology team in Munich.

This position is planned for 3 months with the opportunity to write a master´s thesis to follow.

We are seeking a motivated Master’s student to conduct research on “Failure Management in Optical Networks Using Machine Learning.”

The topic is highly relevant for the development of next‑generation optical network applications and is well suited for a research internship.

The student will work under the guidance of a senior researcher and collaborate with experts in advanced optical networking. This position offers hands‑on experience with cutting‑edge technologies and provides valuable exposure to industry‑level research and development within a leading global provider of optical networking solutions.

Financial compensation will be provided according to company policies. Outstanding research results may additionally lead to scientific publications.

Principle duties and essential functions

• Review the current state of the art in failure management for Optical Transport Networks (OTN).
• Investigate suitable machine learning algorithms for data generation and failure prediction.
• Present research findings in internal meetings.
• Prepare a final report summarizing the research outcomes.

Knowledge, skills and experience required

• Currently enrolled in a Master’s program in Telecommunication, Computer science, Electrical engineering, or a related field
• Knowledge of Python and machine learning techniques.
• Strong analytical and problem‑solving skills.
• Experience with SDN controllers or Docker is a plus, but not required.
• Ability to work independently and proactively.
• Good communication skills and ability to work collaboratively in a team environment

Benefits

• Hands‑on experience with advanced technologies
• Mentorship and guidance from experienced professionals in the field
• Possibility to work in an international, multicultural environment
• Strong team-oriented and friendly work culture
• Flexible working hours model
• Fitness-, travel cost- and kindergarten allowance as well as drinks and fruits for free
• Employee discounts e. g. for events and branded products