Qantas Engineering Summer School Closing: 12:00 noon Monday 29th September 2008 Following the recent signing of a collaboration agreement by Qantas Airways and the University of Adelaide, Qantas is making available one place for an Engineering student from the University to attend its vacation Summer School over the 2008/2009 summer break. The conditions are: • The Summer School runs from 28th November 2008 to the 27th January 2009 at the Qantas Jet Base at Mascot in Sydney. • Participants will be contracted employees of Qantas for the duration of the Summer School and will be paid a total of $5,000 (before tax). • Qantas will provide induction training and supervision over the course of the Summer School. • Accommodation will be the responsibility of the participant (although Qantas may provide assistance in finding suitable accommodation if needed). • Participants must be Australian citizens or permanent residents and may have to undergo a security clearance check. Applications: • Applications close at 12:00 noon on Monday 29th September 2008 • Applicants must be currently enrolled 3rd or 4th year students in one of the following Engineering programs at the University. o BE(Aerospace) o BE(Computer Systems) o BE(Electrical and Electronic) o BE(Software) or associated double/combined degrees. • Applicants will be shortlisted based on their cumulative GPA to the end of Semester 1, 2008. Preference may be given to students whose academic record shows a strength in programming courses, ideally with some experience in artificial intelligence. • Shortlisted applicants will be interviewed by Qantas staff in Adelaide in the week of 29th September. Qantas will select the successful applicant. Applications, comprising a copy of your resumé and your academic transcript, should be sent to: Qantas 2008 Summer Scholarship c/- Head, School of Electrical and Electronic Engineering Room N107, Engineering North email@example.com The project to be conducted during the Summer School will be assigned by Qantas Engineering. The attached description is indicative of the type of project that will be assigned. Fuel Prediction Model Project Current fuel prediction models used in airlines are based on manufacturer provided databases and software. These prediction models are developed using a combination of Flight Testing and theoretical equations based around the classical Newtonian equations. Individual aircraft are then ascertained based on the reference database (also called “book value”) and actual values recorded in flight. Due to the simplified aircraft model used, only non accelerating cruise points are considered to evaluate real aircraft performance vs. book value. Real aircraft performance is then applied to Flight Planning via two catch for all coefficients that represent fuel burn and drag. Fuel burn used in the Flight Planning stages is then ascertained per individual aircraft by applying these two computed coefficients on the theoretical aircraft model. Any over-predicted value implies extra dead weight; hence a possible reduction of payload and/or a fuel burn of carrying that dead weight. The aim of the project is therefore to use novel non-deterministic methods of predicting aircraft fuel burn that close the gap on actual vs predicted fuel burn. These methods would be based around machine self learning algorithms which would use as inputs real flight data over the whole commercial flight envelope, and not just restricted to stable cruise. The final result would be a fuel prediction model per individual aircraft that could be applied to the entire Flight Plan.
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