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Ryanair Engineering

Work on one of the youngest fleets in the industry, with industry leading training.

We are hiring the best talent for our engineering teams. Apply now!

Why should you join our team?

• Working on one of the youngest fleets in the industry • Industry leading training • Career and promotional opportunities throughout Europe • Competitive salaries • Planned Rosters

Whether you are working ‘behind the scenes’ on the ground or as an aircraft engineer based in one of our state of the art engineering facilities throughout Europe

With a dedicated team of engineering service providers throughout Europe hiring the best talent, you will be responsible for safely maintaining Ryanair’s valued fleet of over 300 Boeing 737-800’s in any of the following locations.

Each of our third party service providers are now hiring in the following locations:

Working on one of the youngest fleets in the industry, Industry leading training, Career and promotional opportunities throughout Europe. Just some of the reasons you should join our team.

With graduates roles and programmes available in many teams across our engineering department, we offer the best start for ambitious aviation and engineering graduates to work closely with senior management on projects in Europes favourite airline.

Maintaining an oversight of the airworthiness of our fleet on a daily basis, the Engineering Quality Assurance team liaise with National authorities regularly regarding airworthiness and safety and conduct reviews and audits across our engineering operation to ensure the highest standard of compliance with the applicable regulations and procedures.

Conduct extensive checks on individual aircraft systems, structure and components all of our Boeing 737-800 aircraft to ensure they continue to operate with the utmost efficiency and serviceability. These checks are carried out at our heavy maintenance facilities in Prestwick, Scotland, Kaunas, Lithuania and soon in our new Heavy Maintenance facility in Wroclaw, Poland, which is due to open in mid-2016.

Our Line Maintenance team are responsible for all aircraft maintenance tasks from routine turnarounds and overnight checks to troubleshooting and rectification of defects, AOG recovery, Ramp Checks and A Checks at our 70+ line stations throughout Europe ensuring that all our aircraft depart and take our customers to their destinations on time.

Our materials team is responsible for sourcing and purchasing of all our aircraft parts to ensure that all maintenance can be completed as necessary on our fleet of aircraft across our European network.

With almost 400 aircraft in our fleet, our maintenance planners ensure that are all maintenance is scheduled and completed as required. The team is responsible for planning of both long and short term maintenance across our network.

Providing technical support to the Ryanair fleet for Structures, Aircraft systems, Avionics, Powerplant, Reliability.

Our trainers ensure that our engineers across Europe are trained to the highest technical standard allowing them to continue to deliver maintenance and maintain our leading safety record.

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Fig. 4

Phylodynamic analyses. Figure shows the sampling rate and birth rate derived from the BEAST analysis for the 36 US genomes. Solid white lines with square boxes indicate the posterior median, with the shaded region indicating the 95 % highest posterior density. Darker colors are associated with regions of higher posterior density, with the shape representing the actual posterior density. Despite the birth rate remaining higher after the switch to aP, the sampling rate declines. This pattern would be expected with an increasing rate of asymptomatic transmission

Fig. 5

Comparing disease-free weeks in pre- and post-vaccination scenarios. Panel a shows the proportion of disease-free weeks (fade-outs) per year for the 50 US states in the pre-vaccine (1920–1945, black points and line) and post-vaccine (2006–2013, blue points and line) eras. Lines indicate best-fit exponential curves. Panel b shows the mean duration of consecutive disease-free weeks in both eras

Fig. 6

Changes in transmission in pre- and post-vaccination scenarios? Figure shows the proportion of disease-free weeks (fade-outs) for various population sizes from the stochastic formulation of the model. Panel a compares the symptomatic cases in the aP vaccination era with those in the pre-vaccine era; panel b compares the symptomatic to asymptomatic cases in the vaccine era; panel c compares the asymptomatic cases in the post-vaccine era with those in the pre-vaccine era. These results demonstrate no changes in transmission due to vaccination. Parameters: birth rate () = death rate () = 1/75 years ; recovery rates for symptomatic () and asymptomatic () = 14 days ; probability of symptomatic infection () = 0.25; transmissibility () is calculated per value of

Fig. 7

How does an inefficient vaccine affect situational awareness? Figure shows the percent difference in observed infections (symptomatic) from true infections (symptomatic + asymptomatic) at steady state as aP vaccination rate increases and the probability of symptomatic infection increases. Shaded area indicates a range of reasonable aP vaccination rates. At current aP vaccination coverage levels, the majority of cases are asymptomatic and therefore undetected. See Additional file 1 for model details. Parameters: birth rate () = death rate () = 1/75 years ; recovery rates for symptomatic () and asymptomatic () = 14 days ; baseline vaccination rate = 0.9; transmissibility () is calculated such that =18. Note that previously published values of for pertussis range from 16–20 [ sheer leg warmers Nude amp; Neutrals Wolford Buy Cheap Cost Low Cost Cheap Online djmD3
] to closer to 5 in some populations [ 72 ]

Fig. 8

Can an inefficient vaccine lead to increased transmission? Figure demonstrates the fold increase in observed symptomatic and unobserved asymptomatic infections after transitioning from a wP to an aP vaccine. This is calculated by dividing the number of symptomatic or asymptomatic cases with various levels of aP coverage (reported on the x-axis) and 0 % wP coverage by the number of cases with 90 % wP coverage and 0 % aP coverage. This was designed to simulate the switch from wP to aP in the US and UK (going from high wP coverage to coverage with aP). We see an increase in symptomatic cases across a large range of aP vaccination coverage levels. See Additional file 1 for model details. The gray band indicates the empirical 5.4-fold (95 % bootstrap confidence interval: 0.4–13.3) increase in cases in the US comparing 2012 to the years 1985 through 1995. The model recreates the observed increase in cases. Parameters: birth rate () = death rate () = 1/75 years ; recovery rates for symptomatic () and asymptomatic () = 14 days ; probability of symptomatic infection () = 0.25; baseline vaccination rate = 0.9; transmissibility () is calculated such that =18

As aP vaccination coverage increases, asymptomatic infections increase up to nearly 30-fold. We see a substantial increase in the observed numbers of symptomatic cases after wP vaccination is replaced by aP vaccination. At low to moderate levels of aP vaccination, there is a 5- to 15-fold increase in symptomatic cases. Only at extremely high levels of aP vaccination (>99 % ) is there no change in symptomatic infections. This is in line with the observed rise in B. pertussis incidence: cases in 2012 were 5.4-fold (95 % bootstrap confidence interval: 0.4–13.3) higher than cases in years 1985 through 1995 ([ 46 ]). This result is similar to previous findings by van Boven et al. (2005) [ 47 ], who found that as wP vaccination coverage increased, primary infections (symptomatic) decreased, while secondary infections (subclinical, or asymptomatic) increased.

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