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Master Thesis: Data-Driven Network KPI Prediction for Mobile Robots at Ericsson

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

0.0

Posted On

15 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Python, Linux, Docker, Mobile Networks, 5G Technology, Analytical Skills, Problem Solving, Communication Skills, Presentation Skills, Collaboration, Eagerness to Learn, Knowledge Sharing

Industry

Telecommunications

Description

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. 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. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: Sweden (SE) || Stockholm Req ID: 776466

Responsibilities

The role involves developing data-driven network KPI predictions for mobile robots. You will collaborate with a diverse team to innovate and solve complex problems.