PhD Studentship: Audio/Acoustics Machine Learning: The University of Surrey’s Centre for Vision, Speech, and Signal Processing (CVSSP) invites applications for a fully funded PhD studentship in the field of Audio/Acoustics Machine Learning. This opportunity, in collaboration with Fraunhofer Institute for Integrated Circuits IIS, offers a unique chance for a talented researcher to contribute to cutting-edge work at the intersection of Artificial Intelligence and Audio/Acoustics.
- 🎓 PhD Opportunity: AI and Audio/Acoustics
- Fully funded PhD studentship available at the Centre for Vision, Speech and Signal Processing (CVSSP).
- Focus on the intersection of Artificial Intelligence (AI) and Audio/acoustics in Machine Listening.
- Collaboration between CVSSP (University of Surrey, UK) and Fraunhofer IIS (Erlangen, Germany).
- 🌐 Project Details
- Develops state-of-the-art techniques for embedding acoustic environments.
- Involves virtual acoustics, spatial audio rendering, and optimization of acoustical systems.
- Mix of practical and computational experiments at the university labs and Fraunhofer.
- 🧑🏫 Supervisors
- Supervised by Professor Philip Jackson.
- 🌍 Entry Requirements
- Open to UK and international candidates.
- Starting in January 2024, with possible later start dates.
- Strong interest in audio and machine learning.
- Minimum requirements: 1st or 2:1 BSc/BEng, MSc/MEng, or equivalent experience.
- Skills in machine listening, deep learning, acoustics, and more are advantageous.
- 📝 Application Process
- Interested candidates should email Professor Philip Jackson at p.jackson@surrey.ac.uk.
- Deadline for application: 12 December 2023.
- 💰 Funding
- Fully funded for 3.5 years.
- Open to both UK and international candidates.
- Up to 30% of UKRI funded studentships available for those paying international fees.
- 📅 Important Dates
- Application deadline: 12 December 2023.
- 📧 Enquiries
- For more information, contact Professor Philip Jackson.
Designation: PhD Researcher
Research Area:
- Machine Learning
- Audio/Acoustics
- Artificial Intelligence
- Machine Listening
- Signal Processing
Location: University of Surrey – Centre for Vision, Speech and Signal Processing (CVSSP), Guildford
Eligibility/Qualification:
- Open to UK and international candidates.
- Minimum entry requirements for the PhD program.
- Strong interest in audio and machine learning.
- 1st or 2:1 BSc/BEng degree (or equivalent).
- MSc/MEng in a relevant engineering or scientific discipline or equivalent specialist experience.
- Excellent mathematical, analytical, and programming skills.
- Advanced research skills with experience in machine listening, deep learning, acoustics, signal processing, computer vision, spatial audio, NLP, statistical analysis, software development, and academic writing.
Job Description:
PhD Studentship: Audio/Acoustics Machine Learning
The PhD project focuses on the development of state-of-the-art techniques in Machine Listening, bridging the fields of AI and Audio/Acoustics. Collaborating with experts from CVSSP and Fraunhofer IIS, the successful candidate will conduct practical and computational experiments. The project aims to create widely applicable embeddings of acoustic environments, exploring virtual acoustics, spatial audio rendering, acoustical system optimization, deep neural network training, and object-based audio for immersive experiences.
How to Apply: Interested applicants should email Professor Philip Jackson at p.jackson@surrey.ac.uk to inquire about the application process.
Last Date for Apply: Application deadline is 12th December 2023.
Disclaimer: This job post is sourced from a reliable publication. Applicants are advised to verify details and obtain further information from the official website of the University of Surrey. Check with Professor Philip Jackson for specific application instructions.
