Master Thesis - Machine Learning based DVP Prediction for Resource Allocation

Siemens Mobility; Garching bei München; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading technology company is offering an exciting opportunity for a thesis related to machine learning in wireless communications. The candidate will work on developing innovative models and solutions for network optimization. Applicants should be pursuing a Master's degree in a relevant field with strong programming skills in Python and C/C++. Fluent English and good German skills are required. Join us to apply your theoretical knowledge into practical projects that could shape the future.

Leistungen

Access to latest technologies

Individual supervision from experts

Diverse opportunities for contributions

Excellent career opportunities

Qualifikationen

• Currently pursuing a Master's degree in a relevant field.
• Strong background in machine learning and networking protocols.
• Experience with simulation tools is a plus.

Aufgaben

• Develop ML-based prediction models for Delay Violation Probability.
• Implement an xApp for resource optimization.
• Create simulation environments using NS-ORAN.
• Design and conduct performance evaluations.

Kenntnisse

Advanced programming skills in Python

Advanced programming skills in C/C++

Strong background in machine learning

Proficiency in ML frameworks

Analytical and structured problem solving

Fluent English

Good German skills

Ausbildung

Master's degree in Electrical Engineering or Computer Science

Tools

Simulation tools (NS3 5G-LENA, NS-O-RAN)

Jobbeschreibung

Location:GCH FL
Department:FT RPD CED INW-DE
ModeofEmployment:Limited

Start your career with an exciting thesis! As part of our dynamic team, you will work on pioneering projects and can put your theoretical knowledge directly into practice.

What you'll love about us

• Exciting research and development projects that put your theoretical knowledge into practice
• Individual supervision and support from experienced experts in your field
• Access to the latest technologies, laboratories, and resources
• Diverse opportunities to contribute your ideas and actively shape the projects
• Excellent career opportunities through contact with potential employers

You’ll make an impact by

• Developing ML-based prediction models for Delay Violation Probability (DVP) using probabilistic models like Mixture Density Network and Extreme Value Mixture
• Implementing an xApp for the Near RT-RIC to optimize resource allocation schemes by predicting the DVP
• Creating and enhancing simulation environments using NS-ORAN
• Designing and conducting comprehensive performance evaluations
• Comparing and analyzing different approaches for network optimization
• Contributing to the development of next-generation industrial wireless communications

Your success is grounded in

• Education
• Currently pursuing a Master's degree in Electrical Engineering, Computer Science, or related field
• Strong background in machine learning, radio resource allocation schemes and networking protocols
• Focus on wireless communications
• Experience & Skills
• Advanced programming skills in Python and C/C++
• Knowledge of wireless communications systems (LTE, 5G, O-RAN)
• Understanding of radio resource allocation algorithms
• Experience with simulation tools (NS3 5G-LENA, NS-O-RAN) is a plus
• Proficiency in ML frameworks (Keras, TensorFlow, PyTorch)
• Ways of working
• Analytical and structured approach to complex problems
• Independent and result-oriented work style
• Strong research and documentation capabilities
• Ability to work in an international team
• Languages
• You have fluent English and good German skills

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As anequal-opportunity employerwe are happy to consider applications from individuals with disabilities.

About us

As a leading technology company, Siemens offers you excellent opportunities to write your bachelor's or master's thesis in an innovative and practical environment. Are you nearing the end of your studies and looking for an interesting topic for your bachelor's or master's thesis? Then you are in the right place with us!

www.siemens.de/careers– if you would like to find out more about jobs & careers at Siemens.

FAQ– if you need further information on the application process.

If you have more questions please contact:www.siemens.de/fragenzurbewerbung

#sagthesis