Research Associate developing innovative deep learning technologies for audio quality enhancement in broadcasting and streaming applications. Collaborating with industry partners and improving accessibility for users.
Responsibilities
Develop deep learning–based technologies to enhance audio quality in broadcasting and streaming applications
Develop methods to make audio content accessible to all users and to allow individual customization
Work on projects with broadcasters and streaming providers to implement deep neural networks in real-world environments
Research and implement innovative machine learning concepts for the efficient extraction and optimization of speech from final audio mixes
Improve the intelligibility of dialogue in films, news, and television programs, thereby enhancing the quality of life for people with hearing impairments or speech comprehension difficulties
Requirements
Completed academic degree (Master’s, PhD, or equivalent) in Electrical Engineering, Computer Science, Engineering, Media Technologies, Neuroscience, or a related field
Proven expertise in machine learning and deep neural networks
Strong knowledge of digital audio signal processing, particularly in speech processing
Solid programming skills in Python and PyTorch, experience with C/C++ is desirable
Fluent English for effective collaboration in an international team
A strong record of scientific publications and/or relevant industry experience is considered an advantage
Benefits
Flexible working hours and hybrid work
Ongoing professional and personal seminars
Coaching and language classes
Complimentary parking spaces
Charging stations for electric cars
Covered bicycle parking
Showers at the institute
In-house health management, including sports courses, running groups, and relaxation seminars
Job title
Research Associate – Deep Learning for Dialogue Enhancement
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