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- Tasks: Conduct groundbreaking research in music informatics and machine learning.
- Company: City University London, a hub for innovative research.
- Benefits: Fully funded PhD studentship with support for your academic journey.
- Why this job: Dive into the exciting intersection of music and technology while shaping the future of sound.
- Qualifications: Passion for music and computing, with a strong academic background.
- Other info: Join a vibrant research community and explore endless possibilities in music technology.
The predicted salary is between 36000 - 60000 £ per year.
City University London is offering up to 30 fully funded Research Studentships to start in October 2013, open to national, EU, and overseas students.
The Music Informatics Research Group in the Department of Computer Science at City University would particularly like to encourage PhD applications in the areas of music and sound computing and informatics.
Research interests in the Music Informatics Research Group include:
- music information retrieval
- computational musicology
- audio transcription
- audio signal analysis and classification
- machine learning applied to music and sound
- semantic music representation and processing
- intelligent systems and user interfaces for music applications, such as music e-learning, recommendation, etc.
The closing date for applications is the 1st of March 2013. If you are interested in applying, please get in touch with Tillman Weyde to discuss further details.
Funded PhD in Music Informatics & ML Research in City of London employer: International Association of Sound and Audiovisual Archives
Contact Detail:
International Association of Sound and Audiovisual Archives Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Funded PhD in Music Informatics & ML Research in City of London
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty in the Music Informatics Research Group. A friendly chat can give you insider info and might even lead to a recommendation.
✨Tip Number 2
Show your passion for music and tech! When you get the chance to discuss your interests, make sure to highlight any relevant projects or experiences that align with their research areas.
✨Tip Number 3
Prepare for an informal chat! If you get the opportunity to speak with Tillman Weyde, come armed with questions about the programme and share your ideas. It’s a great way to make a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to ensure your application gets seen. Plus, we’re here to help you every step of the way!
We think you need these skills to ace Funded PhD in Music Informatics & ML Research in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience and interests in music informatics and machine learning. We want to see how your background aligns with our research areas, so don’t hold back!
Showcase Your Passion: Let your enthusiasm for music and sound computing shine through in your written application. We love candidates who are genuinely excited about the field, so share your journey and what drives you!
Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your ideas flow logically.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials correctly. Plus, it makes it easier for us to review your application.
How to prepare for a job interview at International Association of Sound and Audiovisual Archives
✨Know Your Research
Dive deep into the specific areas of music informatics and machine learning that the research group focuses on. Familiarise yourself with their recent projects and publications, as this will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Prepare Your Questions
Think of insightful questions to ask about the research group's work and future directions. This not only demonstrates your enthusiasm but also helps you assess if the environment aligns with your academic goals. Questions about collaboration opportunities or potential challenges in the field can be particularly engaging.
✨Showcase Relevant Experience
Be ready to discuss any previous projects or experiences related to music information retrieval, audio signal analysis, or machine learning. Highlight specific skills or tools you've used, and how they relate to the PhD position. This will help the interviewers see your potential fit within their team.
✨Practice Your Pitch
Craft a concise summary of your academic background, research interests, and why you're passionate about pursuing a PhD in this field. Practising this pitch will help you communicate your motivations clearly and confidently, making a strong impression on the interviewers.
