PhD Candidate: Audio AI for Technological and Neuroscientific Applications at the Donders Centre for Cognition

Do you have a passion for research and are you interested in audio machine learning for technological and neuroscientific applications? Are you eager to tackle complex problems and to develop creative solutions? Then join the Donders Centre for Cognition as a PhD candidate!

Universal audio embedding models capable of performing a humanlike range of hearing tasks have numerous technological applications (e.g. augmented hearing, assistive hearing technology) as well as neuroscientific applications (e.g. models of neural encoding). This project aims to leverage self-supervised learning approaches to develop universal audio embedding models which are capable of encoding the full complexity of real-world sound scenes, including the spatial dimension. As part of the research group, you will work with experts in machine learning, digital signal processing and computational auditory neuroscience on new algorithms for real-world, spatial audio representation learning.

In this multidisciplinary PhD project, you will focus on designing, implementing and evaluating state-of-the-art self-supervised deep neural network models for universal audio representation learning. You will utilise quantitative analysis techniques to unravel the properties of such universal audio embeddings and employ the developed models and embeddings in a neuroscientific application to investigate brain encoding of real-world sound scenes.

You will dedicate 10 % of your working time to teaching activities at undergraduate and postgraduate levels.

Requirements:

• You have a passion for research and are able to work with a high level of autonomy on complex problems.
• You hold a Master’s degree in Artificial Intelligence, Machine Learning, Computer Science or Computational Neuroscience.
• You have a strong foundation in developing machine learning algorithms in Python, TensorFlow and/or PyTorch.
• You have experience with digital signal processing using Python or Matlab.
• You have previously collaborated on larger software projects and are familiar with relevant tools and infrastructure such as compute clusters, version control, etc.
• You have an excellent command of written and spoken English.
• Familiarity with neuroimaging data such as fMRI data is a plus.

Salary Benefits:

• We will give you a temporary employment contract (1.0 FTE) of 1,5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract).
• You will receive a starting salary of €2,770 gross per month based on a 38-hour working week, which will increase to €3,539 in the fourth year (salary scale P).
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.
• You will be able to use our Dual Career and Family Support Service. The Dual Career Programme assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. Our Family Support Service helps you and your partner feel welcome and at home by providing customised assistance in navigating local facilities, schools, and amenities. Also take a look at our support for international staff page to discover all our services for international employees.
• You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20.

Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

38 hours per week

Houtlaan 4