Research Intern: Audio and Speech Processing

Overview

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 experience, as well as promoting your work in leading conferences in the field. At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

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

Required Qualifications

• Currently enrolled in a PhD program in audio signal processing, acoustics, machine learning, or a related field, with research experience in areas such as speech enhancement, audio bandwidth extension, speaker recognition, source localization, or related audio technologies.
• Demonstrated knowledge or research experience in at least one of the following areas:
• Classical signal processing theory and algorithms, such as adaptive filtering, detection, or estimation.
• Machine learning or AI approaches applied to audio signal processing.
• Microphone and/or array signal processing.
• Multimodal signal processing, such as audio-visual processing.Numerical linear algebra.
• Development, evaluation, or implementation of signal processing or machine learning algorithms.

Preferred Qualifications

• Ability to clearly communicate previous research or technical work, including the problem addressed, its significance, and the approach taken.
• Experience working on open-ended research problems and identifying appropriate technical approaches where requirements or solutions may not be fully defined.
• Experience developing, training, or evaluating neural network architectures for audio or audio-visual applications, such as speech enhancement, speaker recognition, echo cancellation, source localization, audio-visual speaker diarization, or active speaker detection.
• Familiarity with deep learning frameworks such as PyTorch.
• Proficiency in Python and/or MATLAB.

The base pay for this internship is € 5,973.00 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/interns-corporate-pay.html This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Equal opportunity

Microsoft is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.