PhD Studentship Remote sensing of convective clouds using an automated infrared image processing system
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PhD Studentship Remote sensing of convective clouds using an automated infrared image processing system

Ref: DK300913

As one of the biggest engineering schools of its kind in the UK, the Wolfson School of Mechanical and Manufacturing Engineering has an international reputation for being at the forefront of technological innovation and for maintaining extensive links with industry.

Clouds play an important role in influencing the dynamics of local and global weather climate conditions. Continuous monitoring of clouds is vital for weather forecasting and air-traffic safety. A PhD studentship is available for a high calibre candidate to join a collaborative project between Loughborough University and Campbell Scientific Ltd to develop an automated ground-based image processing system for the recognition and monitoring of clouds. The research topic focuses on developing new concepts, methods and algorithms to enable accurate and reliable ground-based cloud observations using an infra-red (IR) camera.

Candidate requirements:

The candidates must be expecting, or have already obtained a first degree (1st class or high 2:1 honours or equivalent) in Mechanical Engineering, Physics or other relevant subject. Good communication skills are essential and an interest in, and understanding of basic meteorology and digital image processing would be an advantage.

Studentship value:

The three-year studentship is expected to have a stipend of up to £15,000 per annum tax free (the exact amount will depend on experience) and candidates would not be required to pay any tuition fees if they are from within the EU.

Application procedure:  

Please apply online through the following web page by clicking the Apply link below.

Applicants seeking additional information are invited to contact Dr David Kerr (D.Kerr@lboro.ac.uk).

Please quote the reference DK300913 on all correspondence and especially on the application form.

The closing date for applications for this post is 30th November 2013.

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