Master Thesis: Anomaly Detection in Telecommunications Logs Using Energy-Efficient AI

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning

In short

Ericsson is offering a Master Thesis opportunity in Luleå, Sweden, focused on developing AI-based anomaly detection methods for telecommunications logs with an emphasis on energy efficiency. The project involves investigating machine learning and deep learning algorithms, building prototypes, and evaluating their performance and energy consumption.

Responsibilities

Conduct a literature review of relevant concepts and algorithms for anomaly detection in telecommunications logs.
Investigate and test suitable machine-learning and AI algorithms.
Select and implement appropriate techniques for different scenarios within the chosen use case.
Develop an end-to-end prototype or proof of concept.
Evaluate the resulting model in terms of detection performance, computational requirements, and energy efficiency.
Analyse the results and identify opportunities for further improvement.

Requirements

MSc background in Computer Science, Mathematics, Physics, Engineering, or a related field.
Excellent programming skills in Python.
Good knowledge of machine learning, including deep learning, unsupervised learning, and anomaly detection.
Experience with machine-learning libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-Learn, or Spark.
An interest in building end-to-end prototypes and developing practical concepts.
The ability to work independently while collaborating effectively with others.
Fluency in English.

Desired Qualifications

Knowledge of Docker containers, orchestration systems, and telecommunications is considered an advantage.

Benefits

Outstanding opportunity to use skills and imagination to push the boundaries of what's possible.
Chance to build solutions never seen before to some of the world's toughest problems.
Will be challenged, but not alone.
Joining a team of diverse innovators.
Encouraging a diverse and inclusive organization.

Skills

PythonTensorFlowKerasPyTorchScikit-LearnSparkDocker

#telecommunications#logs#AI#anomaly detection#energy efficiency#machine learning#deep learning#unsupervised learning#Python#TensorFlow#Keras#PyTorch#Scikit-Learn#Spark

About Ericsson

Pioneering technology for connecting billions of people worldwide

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

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