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- Tasks: Conduct innovative research in AI for sound, focusing on automatic sound labelling and analysis.
- Company: Join the University of Surrey's Centre for Vision, Speech and Signal Processing.
- Benefits: Gain a prestigious PhD, access to cutting-edge resources, and opportunities for collaboration.
- Why this job: Make a real impact in audio technology and enhance media accessibility.
- Qualifications: Strong background in audio signal processing, machine learning, and research skills.
- Other info: Exciting projects with potential for career advancement in a dynamic academic environment.
The predicted salary is between 36000 - 60000 £ per year.
The AI for Sound project (https://ai4s.surrey.ac.uk/) in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey is offering PhD studentships in AI for Sound, available from 1 October 2021. CVSSP also has a number of ongoing PhD studentship opportunities for outstanding PhD candidates in all aspects of audio-visual signal processing, computer vision and machine learning, including for research related to machine learning and audio signal processing. We also welcome enquiries from self-funded and part-funded candidates.
PhD studentship opportunities in AI for Sound project:
- Automatic sound labelling for broadcast audio
- Information theoretic learning for sound analysis (UK applicants)
Application Deadline: 1 August 2021
Details by project:
- Automatic sound labelling for broadcast audio: The aim of this project is to develop new methods for automatic labelling of sound environments and events in broadcast audio, assisting production staff to find and search through content, and helping the general public access archive content. The project will undertake a combination of interviews and user profiling, analysis of audio search datasets, and categorisation by audio experts to determine the most useful terminology for production staff and the general public as user groups. The project will develop a taxonomy of labels, and examine the similarities and differences between each group. The project will also investigate the application of a labelled library in a production environment, examining workflows with common broadcast tools, then integrating and evaluating prototype systems. The project will also investigate methods for automatic subtitling of non-speech sounds, such as end-to-end encoder-decoder models with alignment, to directly map the acoustic signal to text sequences.
PhD studentships in AI for Sound in Surrey 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 PhD studentships in AI for Sound in Surrey
✨Tip Number 1
Network like a pro! Reach out to current PhD students or faculty members in the AI for Sound project. A friendly chat can give you insider info and might even lead to a recommendation.
✨Tip Number 2
Show off your passion! When you get the chance to speak with anyone from CVSSP, make sure to express your enthusiasm for audio-visual signal processing and machine learning. Let them know why you're the perfect fit!
✨Tip Number 3
Prepare for interviews by diving deep into the latest research in AI for Sound. Familiarise yourself with the projects they’re working on and think about how your skills can contribute. Knowledge is power!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at CVSSP.
We think you need these skills to ace PhD studentships in AI for Sound in Surrey
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and sound shine through! We want to see why you're excited about this field and how you can contribute to our projects.
Tailor Your CV: Make sure your CV is tailored to the specific PhD studentship you're applying for. Highlight relevant experience in audio-visual signal processing, machine learning, or any related projects that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Explain why you're interested in the AI for Sound project and how your background aligns with our goals. Keep it engaging and personal!
Apply Through Our Website: Don't forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you don’t miss any important updates.
How to prepare for a job interview at International Association of Sound and Audiovisual Archives
✨Know Your Stuff
Make sure you dive deep into the AI for Sound project and understand its goals. Familiarise yourself with the specific areas of research, like automatic sound labelling and information theoretic learning. This will show your genuine interest and help you answer questions more confidently.
✨Prepare Your Questions
Think of insightful questions to ask during the interview. This could be about the methodologies they use or how they envision the future of audio signal processing. It demonstrates your enthusiasm and critical thinking skills, which are crucial for a PhD candidate.
✨Showcase Relevant Experience
Be ready to discuss any previous projects or research that relate to audio-visual signal processing or machine learning. Highlight your skills in data analysis or programming languages relevant to the role, as this will help you stand out as a strong candidate.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to get comfortable with articulating your thoughts. Focus on explaining complex concepts clearly, as you may need to do this when discussing your research ideas or past experiences during the actual interview.