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Master Thesis: Machine-learning-aided Predistortion Optimization for 5G/6G at Ericsson

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Estimation Theory, Optimization Theory, Digital Communications, Digital Signal Processing, Machine Learning, Supervised Learning, Reinforcement Learning, MATLAB, Python, Nonlinear System Identification, RF Measurements

Industry

Telecommunications

Description

Strong foundation in estimation and optimization theory, digital communications, and digital signal processing. Familiarity with machine learning methods, such as supervised and reinforcement learning. Strong programming skills in MATLAB and/or Python, with experience using machine learning libraries. Nice to have: experience with nonlinear system identification and RF measurements. Extent: 1-2 students, 30hp each 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) || Lund Req ID: 773632

Responsibilities

The role involves using machine learning methods to optimize predistortion for 5G/6G radios. You will collaborate with a diverse team to innovate and solve complex problems.