Intern Researcher- Audio, Speech & Acoustic AI

Huawei Canada has an immediate 12-month internship opening for a Researcher

About the Role

Huawei Canada CBG team is seeking a highly motivated Audio Speech & Acoustics Research Intern to join our AI & Signal Processing Research this role you will work closely with senior researchers and engineers to explore design and implement cutting-edge algorithms at the intersection of acoustic signal processing deep learning and speech processing.

Key Responsibilities

• Algorithm Research & Development: Design prototype and evaluate novel audio signal processing algorithms and deep learning models for speech and acoustic processing.

• Data Pipelines & Dataset Curation: Build robust data pipelines for synthetic and real-world acoustic data augmentation simulation and feature extraction (e.g. room impulse response generation spectrograms neural representations).

• Proof-of-Concept Implementation: Develop efficient clean Python / C implementations to test research hypotheses and validate models on benchmark datasets.

• Cross-Functional Collaboration: Partner with engineering teams to help translate successful research prototypes into scalable product features.

• Publication & Documentation: Clear technical documentation of methodologies and results with the potential to publish findings at top-tier conferences (e.g. ICASSP INTERSPEECH NeurIPS).

The total targeted annual compensation (based on 2080 hours per year) ranges from $58000 to $104000 depending on education experience and demonstrated expertise.

About the Ideal Candidate:

• Currently pursuing a Masters or Ph.D. degree in Electrical Engineering Computer Science Audio/Acoustic Engineering or a related quantitative field.

• Strong foundations in Digital Signal Processing (DSP) (e.g. STFT filter design array processing room acoustics) and/or Deep Learning for Audio.

• Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.

• Strong proficiency in Python (including NumPy SciPy Librosa PyTorch-Audio or Torchaudio).

• Strong analytical skills curiosity and passion for solving open research problems in audio.

• Track record of research publication in domain conferences (e.g. ICASSP INTERSPEECH WASPAA IEEE TASLP).

• Speech AI: Automatic Speech Recognition (ASR) Text-to-Speech (TTS) Voice Conversion or Speaker Diarization.

• Acoustic Signal Processing: Acoustic Echo Cancellation (AEC) Active Noise Control (ANC) Beamforming Sound Source Localization or Dereverberation.

• Audio Generation & Enhancement: Neural audio codecs generative audio models (Diffusion/LLMs for audio) or audio source separation.

• Spatial Audio: Ambisonics HRTF modeling or binaural rendering.

Additional Information:

Huawei Canada is committed to a fair inclusive and accessible recruitment process. If you require accommodation during any stage of the hiring process please let us know and we will work with you to meet your needs. All applications for this position are reviewed directly by our hiring team we do not use artificial intelligence tools to screen or select candidates.