PhD Scholarship in Acoustics and Signal Processing for Wind Farm Noise Measurements

The School of Electrical and Computer Engineering is offering two PhD scholarships to high achieving research students interested in acoustics or signal processing for wind farm noise measurements. For more information about the project, see the further info section below.

Value and duration

The scholarship is valued at $25,392 per annum for three years only. One tuition fee waiver is also available to exceptional international applicants.

Number of scholarships available

Two

Eligibility

To be eligible for this scholarship you must:

• be enrolled in a PhD at the School of Electrical and Computer Engineering
• be able to commence full-time study in Semester 1, 2015 (by 31 March, 2015)
• satisfy the university entry requirements into a PhD program within the School of Electrical and Computer Engineering at RMIT University
• have an undergraduate degree in the area of acoustics or signal processing or a related discipline
• demonstrate excellent academic results and research capability.

How to apply

Applicants should submit a:

• cover letter (maximum 1 page) detailing any relevant experience
• curriculum vitae (maximum 4 pages) detailing educational background (with scores/GPAs), research experience, citizenship details, and any relevant prizes, awards, scholarships and publications
• copy of transcripts from relevant educational degrees.

Applications should be submitted by e-mail to Professor Xiaojun Qiu xiaojun.qiu@rmit.edu.au.

Open date

For the 2015 academic year, applications are now open.

Close date

For the 2015 academic year, applications close Friday 28 November 2014.

Further info

Two PhD scholarships, funded through an ARC Linkage Project, are available.

The first is on acoustics aspects of the project which include: a study of the mechanism of wind induced noise, the effects of wind induced noise on the performance of the microphone array, and various acoustical methods to reduce it.

The second is on signal processing aspects which include: a study of the spherical microphone array beamforming algorithm, differential microphone array directivity pattern design methods, and adaptive noise cancellation algorithms.

For further details contact Professor Xiaojun Qiu : xiaojun.qiu@rmit.edu.au.