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Master Thesis: Granular Synthesis Database Compression for Procedural Audio at Ericsson

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Signal Processing, Machine Learning, MATLAB, Python, C/C++, Audio Processing, Compression Techniques, Dimensionality Reduction, Documentation, Experimentation

Industry

Telecommunications

Description

Ongoing M.Sc. studies in computer science, electrical engineering, engineering physics, or a related field. Strong background in signal processing and machine learning. Proficient programming skills in MATLAB, Python, or C/C++ for algorithm implementation and evaluation. Experience with audio processing, compression techniques, or dimensionality reduction methods is a plus. Good English skills and capability to document experiments and results. 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: 774036

Responsibilities

The role involves developing a granular synthesis database compression for procedural audio in XR. You will be challenged to use your skills and imagination to create innovative solutions.