Research Assistant (master Thesis Worker): Universal Speech Enhancement For Speech-based Health Biomarkers
Aalto University
Otaniemi, Finland
Base: 2,565 eurpmnth; bonus/equity: not specified;...
Flexible arrangements based on thesis schedule
Master's thesis work in speech processing
Proficiency in pytorch and python programming
Deep learning and neural network experience
Aalto University is seeking a Research Assistant (master's thesis worker) focused on universal speech enhancement for speech-based health biomarkers. The role involves hands-on research that combines deep learning with speech processing to contribute to health technology advancements
Job Summary
This position involves designing experiments to examine how universal speech enhancement can act as a robust front end for improving speech-based health biomarker consistency.
The role offers paid employment at a rate of 2565 EUR per month while working under the supervision of Professor Paavo Alku and Saska Tirronen.
Candidates will contribute to methods developed in the group, potentially leading to publications on the intersection of speech enhancement and health monitoring.
Matching Summary
Match Score: 85
Aalto University is seeking a Research Assistant (master's thesis worker) focused on universal speech enhancement for speech-based health biomarkers. The role involves hands-on research that combines deep learning with speech processing to contribute to health technology advancements.
Salary
Base: 2565 EUR/month; Bonus/Equity: Not specified; Benefits: Supportive research environment and close supervision
Skills & Requirements
Must-have
Master's thesis work in speech processing
Proficiency in PyTorch and Python programming
Deep learning and neural network experience
Nice-to-have
Finnish language proficiency considered an advantage
Interest in digital health applications
Experience with speech codec analysis
Key Requirements
Final-year M.Sc. student status required
Enrollment restricted to Aalto University degree students only