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FR
Fraunhofer-Institut für Integrierte Schaltungen IIS
7d ago

Research Associate - Deep Learning for Dialogue Enhancement(m/w/x)

Erlangen
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Data Science

Description

You will bridge the gap between research and reality by developing deep learning solutions that optimize speech clarity and accessibility, ensuring everyone can enjoy high-quality audio experiences.

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Requirements

  • •Degree in Electrical Engineering, Computer Science, or related field
  • •Expertise in machine learning and deep neural networks
  • •Knowledge of digital audio and speech processing
  • •Programming skills in Python, PyTorch, or C/C++
  • •Fluent English skills
  • •Scientific publications or relevant industry experience

Education

Master's degree

Work Experience

approx. 1 - 4 years

Tasks

  • •Develop deep learning technologies for audio quality enhancement
  • •Create methods for accessible and personalized audio content
  • •Implement deep neural networks in real-world broadcasting environments
  • •Collaborate with broadcasters and streaming providers on practical applications
  • •Research and implement machine learning for speech extraction
  • •Optimize speech from final audio mixes
  • •Improve dialogue intelligibility in films and news programs
  • •Enhance media accessibility for people with hearing impairments

Tools & Technologies

PythonPyTorchC/C++

Languages

English – Business Fluent

Benefits

Diverse Work

  • •Diverse and challenging work

Informal Culture

  • •International research environment

Modern Office

  • •State-of-the-art infrastructure

Mentorship & Coaching

  • •Structured onboarding process

Flexible Working

  • •Flexible working hours
  • •Hybrid work

Learning & Development

  • •Professional and personal seminars
  • •Coaching and language classes

Parking & Commuter Benefits

  • •Complimentary parking spaces
  • •Covered bicycle parking

Sustainability Focus

  • •Electric car charging stations

Other Benefits

  • •On-site showers

Healthcare & Fitness

  • •In-house health management
  • •Sports courses and running groups

Mental Health Support

  • •Relaxation seminars
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