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- Tasks: Explore generative AI for sound design and contribute to exciting research projects.
- Company: Leading UK educational institution with a focus on immersive technology.
- Benefits: Attractive salary, research opportunities, and a chance to publish your work.
- Why this job: Join a cutting-edge team and shape the future of audio in content production.
- Qualifications: PhD required, with strong programming and research skills.
- Other info: Fixed-term role until May 2028 with great potential for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading educational institution in the United Kingdom is seeking a Research Fellow to investigate generative AI for sound design in content production. The role is based at the renowned Centre for Vision, Speech and Signal Processing, involves contributions to academic publications and immersive technology demonstrations, and requires expertise in machine learning for audio.
Candidates should hold a PhD and have strong programming skills, research publications, and communication abilities. The position is initially fixed-term until May 2028 and offers attractive remuneration and research opportunities.
Generative Audio Research Fellow for Immersive Sound employer: University of Surrey
Contact Detail:
University of Surrey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative Audio Research Fellow for Immersive Sound
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of generative audio and immersive technology. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning for audio. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain complex concepts in simple terms, as you'll need to convey your research ideas effectively to both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We have a streamlined application process that makes it easy for you to submit your details and get noticed by the right people at the Centre for Vision, Speech and Signal Processing.
We think you need these skills to ace Generative Audio Research Fellow for Immersive Sound
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant research publications in your application. We want to see your strong programming skills and how you've applied them in the field of audio and machine learning.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Generative Audio Research Fellow role. We love seeing candidates who understand what we’re looking for.
Communicate Clearly: Your communication skills are key, so make sure your written application is clear and concise. We appreciate well-structured documents that convey your ideas effectively, especially when it comes to complex topics like immersive sound.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at University of Surrey
✨Know Your Generative AI Inside Out
Make sure you’re well-versed in generative AI, especially as it relates to sound design. Brush up on recent advancements and be ready to discuss how your expertise can contribute to the Centre for Vision, Speech and Signal Processing.
✨Showcase Your Research Publications
Prepare to talk about your previous research and publications. Highlight any work that aligns with immersive technology or machine learning for audio, and be ready to explain your findings and their implications clearly.
✨Demonstrate Strong Programming Skills
Be prepared to discuss your programming experience in detail. Bring examples of projects where you’ve applied your skills in machine learning for audio, and if possible, have a portfolio ready to showcase your work.
✨Communicate Effectively
Since communication is key in this role, practice explaining complex concepts in simple terms. Think about how you would present your ideas to a non-technical audience, as this will demonstrate your ability to engage with diverse stakeholders.
