Music Informatics Researcher
hace 2 días
About Mysheetmusictranscriptions
Mysheetmusictranscriptions is a leading provider of sheet music and digital music notation services. Our mission is to advance the field of music technology and support the creative process of musicians and composers worldwide.
Job Description
We are seeking a highly skilled Music Informatics Researcher to join our team. As a key member of our research and development team, you will be responsible for advancing our projects that require a deep understanding of symbolic music data and web app deployment.
Key Responsibilities
- Conduct research and development in music information retrieval with a focus on symbolic music data.
- Design, implement, and evaluate algorithms for the analysis and generation of symbolic music representations.
- Develop web-based applications to showcase and deploy symbolic music analysis and generation technologies.
- Collaborate with cross-functional teams to integrate symbolic music technologies into user-friendly web applications.
- Optional but advantageous: Contribute to projects involving music transcription from audio to symbolic representations, enhancing our capabilities in bridging different music data domains.
Qualifications
- PhD or Master's degree in Music Technology, Computer Science, Electrical Engineering, or related field, with a significant focus on symbolic music analysis and MIR.
- Demonstrated experience in symbolic music analysis, including working with music scores and notation systems.
- Proficiency in deploying web applications with a focus on showcasing music technology research (e.g., AWS, GCP).
- Familiarity with music transcription techniques and tools is a plus, but not required.
Preferred Skills
- Direct experience with music transcription projects and tools.
- Knowledge of music theory, especially as it applies to music notation and score analysis.
- Experience in machine learning and deep learning applied to symbolic music data.
How to Apply
Please submit your application, including a cover letter, CV, and a portfolio of projects demonstrating your experience with symbolic music analysis and web app development.
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