Openings at SPS

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Acoustic signal processing for virtual reality applications

Opening for: PhD student

Status details

Status:Closed
Announced:20 Jul 2016
Closing date:01 Sep 2016
Duration:4 years
The aim of this PhD project is to develop basic algorithms for the audio processing component of a virtual reality (VR) system. The goal is that the VR user will experience a sound environment that is perceived as accurate for the associated video scenario. The work will include the development of state-of-the-art methods for the estimation and generation of perceptually accurate acoustic room responses that can be implemented in real-time. The algorithms must apply to a wide range of scenarios and devices

Requirements

The candidate should have a strong background in (acoustic) signal processing, mathematics and machine learning and experience with simulation software (Matlab/Octave/NumPy).

Contact

prof.dr. Bastiaan Kleijn

Parttime Professor

Signal Processing Systems Group

Department of Microelectronics

Related project

Distributed Processing of Audio Signals

Industry-sponsored project that aims to develop new distributed processing approaches and new computational methods for determining the acoustic room response.

Additional information

In The Netherlands, almost all PhD positions are linked to funded research projects. This has several implications:
  • PhD students are employed: they receive a salary rather than a grant. Most projects have a duration of 4 years.
  • Positions become available once a project is funded. This can happen at any time during the year.
  • It typically takes 6 to 9 months for a project proposal to receive funding. In this period, a position may be anticipated but the outcome remains insecure. Once a project is funded, the open position needs to be filled as soon as possible.

If you are interested in our research, it merits to inquire whether openings will be available. We collect resumes of prospective PhD students throughout the year, for each of our research tracks.

General requirements

We make our selection based on the following general requirements:
  • Formal requirements regarding prior education: you should have earned an MSc degree at a recognized institute for higher education.
  • Background: this depends on the specific project.
  • Excellence: your Grade-Point-Average should be above 8 (10). Also your MSc thesis should have received a grade above 8 (10).
  • English: you should be able to communicate well in english (written and oral). Provide TOEFL/IELTS scores if available.
  • Originality: your MSc thesis or later work (publications) should reflect some original ideas. Critical and independent thinking is very important.
  • Team player: you should be able to work well in a team of other project members.
Your resume should contain contact information of prior advisors/supervisors who can provide feedback.