Master thesis: Fine-Tuning Foundation Models for Energy-Efficient 5G Orchestration
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · DevOps
I korthet
This Master thesis project focuses on adapting time series foundation models for energy-efficient 5G orchestration by fine-tuning them on cloud-native network function telemetry metrics. The goal is to develop accurate forecasts for proactive network management, reducing over-provisioning and energy waste.
Ansvarsområden
- Investigate adaptation of time series foundation models (e.g., TimesFM, TTM) to cloud-native 5G NF telemetry.
- Conduct data collection from lab and testbed environments.
- Perform systematic evaluation of foundation models in zero-shot and few-shot settings.
- Potentially implement parameter-efficient fine-tuning techniques (LoRA, adapters).
- Benchmark foundation models against classical baselines on NF energy, resource usage, and/or traffic prediction.
- Develop a fine-tuning methodology for adapting foundation models to cloud-native 5G NF telemetry metrics.
- Analyze model generalization across NF types, prediction targets, and training data regimes.
- Provide recommendations for integrating foundation model-based forecasting into energy-aware network orchestration pipelines.
Krav
- Background in machine learning, computer science, data science, or a related field.
- Strong understanding of deep learning and time series modelling.
- Proficiency in Python.
- Familiarity with modern ML frameworks (Hugging Face, GluonTS, or similar).
- Ability to conduct technical literature reviews, design experiments, analyse results, and document findings.
- Strong analytical and problem-solving skills.
- Ability to work independently while communicating effectively in an international research environment.
- Good written and spoken English.
Önskade kvalifikationer
- Experience with PyTorch is advantageous.
- Interest in cloud-native systems (Kubernetes, microservices) and sustainable computing.
Förmåner
- Outstanding opportunity to use your skills and imagination to push boundaries.
- Work on building solutions never seen before to tough problems.
- Be challenged in a supportive environment with diverse innovators.
- Chance to craft what comes next.
- Encouraging a diverse and inclusive organization is core to our values.
Färdigheter
PythonPyTorchKubernetesmicroservicesHugging FaceGluonTS
#5G#orchestration#foundation models#energy efficiency#time series forecasting#cloud-native#Kubernetes#machine learning#deep learning#Python
Our purpose \nTo create connections that make the unimaginable possible.\n\nOur vision\nA world where limitless connectivity improves lives, redefines business and pioneers a sustainable future.\n\nOur values\nPerseverance, professionalism, respect and integrity.\n\nThe future is a place for purpose & vision – ours are clear, and we invite partners, customers and consumers to join us in our journey. \n\nFor a brighter future. For all. Let's #ImaginePossible
Företag
EricssonPublicerade jobb
för 4 dagar sedan
Anställningstyp
Praktik
Arbetsform
På plats
Erfarenhetsnivå
Student
Platser
Stockholm, Sweden
Kvalifikation
Masterexamen
Sökande
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