PhD Position on Bayesian Machine Learning for Audio Processing
PhD Position on Bayesian Machine Learning for Audio Processing
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Job description
This research program is aimed at developing modern machine learning methods that lead to improved performance of audio processing algorithms (e.g., for hearing aids). In particular, our approach is to study computational models of learning and adaptation in brains and apply these ideas to the design of personalization of audio processing applications. Key areas of interest include Bayesian machine learning, probabilistic graphical models (factor graphs), computational neurosciences and signal processing. We develop our own toolbox (see http://forneylab.org) for Bayesian inference and learning, so you should have a strong interest and background in professional code development.
Please browse our web page http://biaslab.org for more information on our research goals.
Please browse our web page http://biaslab.org for more information on our research goals.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
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Eindhoven University of Technology (TU/e)
Requirements
- You should have a Master's degree in electrical engineering, physics, computer science, or similar with excellent grades.
- A record that shows specific interest in any or more of the following fields: signal processing, machine learning, computational neurosciences;
- You will develop open source code for simulating machine learning experiments, so we put a high value on candidates with a strong professional record and interest in developing code. Please supply some evidence for your programming record, e.g., a link to your github page.
- In order to complete a PhD, it will be essential to have a good written and spoken command of English. If you have written a MSc thesis (or published a scientific paper) in English, please send it along with your application.
- Finally, we appreciate a team player attitude, willingness to work hard and know how to have fun at it.
- A record that shows specific interest in any or more of the following fields: signal processing, machine learning, computational neurosciences;
- You will develop open source code for simulating machine learning experiments, so we put a high value on candidates with a strong professional record and interest in developing code. Please supply some evidence for your programming record, e.g., a link to your github page.
- In order to complete a PhD, it will be essential to have a good written and spoken command of English. If you have written a MSc thesis (or published a scientific paper) in English, please send it along with your application.
- Finally, we appreciate a team player attitude, willingness to work hard and know how to have fun at it.
Conditions of employment
- A challenging job for 4 years in a dynamic and ambitious university and a stimulating research environment;
- Support with your professional and personal development;
- A gross salary per month of € 2325,- (first year) as a PhD up to € 2972,- (final year) in accordance with the Collective Labor Agreement of the Dutch Universities
- Plus 8% holiday allowance + 8.3% end of the year allowance.
- An extensive package of fringe benefits, e.g., support in moving expenses, excellent technical infrastructure, on-campus child care, and excellent sports facilities.
- Support with your professional and personal development;
- A gross salary per month of € 2325,- (first year) as a PhD up to € 2972,- (final year) in accordance with the Collective Labor Agreement of the Dutch Universities
- Plus 8% holiday allowance + 8.3% end of the year allowance.
- An extensive package of fringe benefits, e.g., support in moving expenses, excellent technical infrastructure, on-campus child care, and excellent sports facilities.
