Research Sciences Intern

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Come build community, explore your passions and do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead.

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.

Required/Minimum Qualifications:

Must be currently enrolled in a PhD programin 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 inat least oneof the following areas:

• Classical signal processing theory (adaptive filters,detectionand 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 toidentifytechnical gaps,acquiremissing 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 speakerdiarizationand active speaker detection.

• Proven understanding of deep learning tools such asPyTorch.
• Fluency in Python and/or Matlab.

• Conduct research in one or more of the following areas: ML and AI algorithms for audio signal processing (speech enhancement, echo cancellation, speaker recognition, etc.), microphone and multi-modal signal processing, and classical signal processing theory.
• Design and implement experiments to test new hypotheses and validate research findings.
• Develop and optimise algorithms and models for various AI applications.
• Collaborate with team members to integrate research outcomes into practical solutions.
• Present research findings to the team and contribute to publications and patents.