Jobbeschreibung
Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty.Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.
Join our Software Mobile Network Testing Division in München (Germany) at the earliest possible date.
- Conduct a literature review on existing machine learning techniques for analyzing Layer 2 data in 5G and 4G networks
- Establish the contact to our AI department
- Help to develop and implement a machine learning model for detecting problem spots based on Layer 2 messages
- Assist to train the machine learning model using large datasets of Layer 2 messages from 5G and 4G networks
- Help to evaluate the performance of the machine learning model and optimize it for accuracy and speed
- Collaborate with internal stakeholders to ensure the machine learning model meets business requirements and is integrated into existing systems
- Document the development and training process, including any challenges encountered and solutions implemented
- Present the results of the project in a final thesis and a presentation to the team
- Enrolled masterstudent in Computer Science, Electrical Engineering, or a related field
- Strong knowledge of machine learning techniques and algorithms
- Experience with programming languages such as Python, C#, or C++
- Familiarity with network protocols, particularly 5G and 4G
- Strong analytical and problem-solving skills
- Excellent communication and teamwork skills
- Ability to work independently and manage time effectively
You can expect very good payment, excellent terms and outstanding opportunities for growth and development. We will also be happy to help you find a room. We have a number of favorably priced accommodations at our disposal.View More