Master Thesis: Data-Driven Network KPI Prediction for Mobile Robots
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About this opportunity:
Are you ready to contribute to dependable connectivity solutions for mobile robots by leveraging data-driven prediction of network KPIs such as latency, reliability, and throughput? This Master's thesis opportunity within Ericsson Research's Cyber-Physical Systems area, Decision & Control team, focuses on incorporating network KPI predictions into cyber-physical control and decision-making loops. You will conduct applied research at the intersection of robotics, machine learning, and networks within a leading industry research group, showcasing your innovative ideas, enthusiasm, and skills to revolutionize future connected devices and machines.
What you will do:
• Research and develop data-driven models to predict network KPIs relevant to mobile robotic systems.
• Integrate network KPI predictions into cyber-physical control and decision-making frameworks.
• Employ machine learning frameworks such as PyTorch or TensorFlow to build predictive models.
• Work with programming in Python and utilize Linux and Docker environments.
• Evaluate and test solutions for reliability, latency, and throughput improvements in networked robotic applications.
• Compare your approach with existing methods to assess its effectiveness.
The skills you bring:
• MSc studies in Computer Science, Electrical Engineering, Robotics, Telecommunications, Control engineering or related fields.
• Experience with ML/AI development frameworks such as PyTorch and/or TensorFlow.
• Programming skills in Python, experience with Linux and Docker.
• Good understanding of mobile networks, including 5G technology.
• Ability to formulate and solve problems independently and collaboratively.
• Strong analytical skills and eagerness to learn and share knowledge.
• Excellent communication skills in English, both written and spoken, with good presentation abilities.
About Ericsson Research:
Ericsson Research is Ericsson's central research organization comprising over 700 researchers across eight countries. Our mission is to deliver system concepts, technologies, and intellectual property that ensure Ericsson's long-term success and competitiveness. We achieve world-class innovation through collaboration within Ericsson and with external partners, customers, universities, and research institutes.
We look forward to your application and the opportunity to work together on this exciting Master's thesis project.
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city:
Sweden (SE) || Stockholm
Req ID:
776466
About this opportunity:
Are you ready to contribute to dependable connectivity solutions for mobile robots by leveraging data-driven prediction of network KPIs such as latency, reliability, and throughput? This Master's thesis opportunity within Ericsson Research's Cyber-Physical Systems area, Decision & Control team, focuses on incorporating network KPI predictions into cyber-physical control and decision-making loops. You will conduct applied research at the intersection of robotics, machine learning, and networks within a leading industry research group, showcasing your innovative ideas, enthusiasm, and skills to revolutionize future connected devices and machines.
What you will do:
• Research and develop data-driven models to predict network KPIs relevant to mobile robotic systems.
• Integrate network KPI predictions into cyber-physical control and decision-making frameworks.
• Employ machine learning frameworks such as PyTorch or TensorFlow to build predictive models.
• Work with programming in Python and utilize Linux and Docker environments.
• Evaluate and test solutions for reliability, latency, and throughput improvements in networked robotic applications.
• Compare your approach with existing methods to assess its effectiveness.
The skills you bring:
• MSc studies in Computer Science, Electrical Engineering, Robotics, Telecommunications, Control engineering or related fields.
• Experience with ML/AI development frameworks such as PyTorch and/or TensorFlow.
• Programming skills in Python, experience with Linux and Docker.
• Good understanding of mobile networks, including 5G technology.
• Ability to formulate and solve problems independently and collaboratively.
• Strong analytical skills and eagerness to learn and share knowledge.
• Excellent communication skills in English, both written and spoken, with good presentation abilities.
About Ericsson Research:
Ericsson Research is Ericsson's central research organization comprising over 700 researchers across eight countries. Our mission is to deliver system concepts, technologies, and intellectual property that ensure Ericsson's long-term success and competitiveness. We achieve world-class innovation through collaboration within Ericsson and with external partners, customers, universities, and research institutes.
We look forward to your application and the opportunity to work together on this exciting Master's thesis project.
Why join Ericsson?
At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city:
Sweden (SE) || Stockholm
Req ID:
776466
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