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Do you have a strong inventive spirit? Are you excited about straddling the line between research and engineering? Join the Applied Sciences Group at Microsoft and help create the future of Microsoft’s hardware and software businesses.

Required/Minimum Qualifications:

Must be currently enrolled in a PhD program in audio signal processing, acoustics, or a related machine learning field, including but not limited to, speech enhancement, speaker recognition, self-supervised learning, and/or semi-supervised learning.

Other Requirements:

Deep experience in at least one of the following areas:

• Classical signal processing theory (adaptive filters, detection and estimation theory)
• ML and AI algorithms, approaches to audio signal processing
• Microphone signal processing
• Multi-modal (e.g., audio-visual) signal processing
• Numerical linear algebra
• Demonstrable experience developing, characterizing, and implementing signal processing algorithms.

Preferred/Additional Qualifications:

• Ability to clearly communicate what work you have done, why it was important, and how it was different from existing projects.
• Ability to work in ambiguous uncharted areas and having the experience, creativity, and technical depth to identify technical gaps, acquire missing information, align requirements, and pick the right direction.
• Ability to create, train, and optimize neural network architectures for audio (or audio-visual) applications such as speech enhancement, speaker recognition, echo cancellation, source localization, audio-visual speaker diarization and active speaker detection.
• Proven understanding of deep learning tools such as PyTorch.
• Fluency in Python and/or Matlab.

We have several Internship positions open in our Munich office, and we are looking for candidates with demonstrable experience in researching, developing, and characterizing new audio signal processing technologies. You will work with a multi-interdisciplinary team in applied research and product incubation, with the goal of creating the next generation of devices and user experiences, as well as promoting your work in leading conferences in the field.