Engineer for Aerodynamics (m/f/d)

****Job Description:****In order to support the flight physics department, Airbus Operations in Bremen is looking for an# ****Engineer for Aerodynamics (d/f/m)********Then join us in Aerodynamics!****## ****Your location****Bremen is a charming city full of history in the northwest of Germany. In addition to being one of the country’s greenest cities, it offers wonderful sights, a rich culture, urban flair and culinary delights. It’s also a great place for seaside lovers, being located just an hour’s drive from the North Sea coast.## ****Your benefits***** Attractive salary and special payments* 30 days holidays and extra days-off for special occasions* Excellent upskilling opportunities and great development prospects* Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, transportation subsidy, employee benefits at cooperating companies* On-site-facilities: Kindergarten close to the site, medical officer for check-ups and other health-related services, canteen and cafeteria## ****Your tasks and responsibilities***** Deliver aerodynamic models and data for loads assessment, aircraft performance and handling qualities* In that contribute to design, optimisation and validation of external aircraft shapes, structure and systems* Contribute to and define future aerodynamic processes and technologies to keep Airbus at the forefront of innovation* Collaborate across transnational project teams and disciplines to secure multi-disciplinary design solutions, meeting customer requirements while delivering on time, cost and quality* Apply data science methods to solve aerodynamic business tasks (application of data analytics, machine learning/artificial intelligence and model based system engineering)* Provide aerodynamic support to manufacturing plants and airlines## ****Desired skills and qualifications***** Master degree in Engineering/Aerospace Engineering, Physics or equivalent* Sound understanding of aerodynamics* First experience in aerodynamic numerical simulations/Computational Fluid Dynamics, wind tunnel test or flight test* Expertise in digitalization topics e.g. data fusion, surrogate modeling, model-based system engineering, big data analytics, machine learning and cloud computing* Good working knowledge of a programming language (preferably Matlab, Python)* Knowledge of CFD (CAD, meshing, turbulence models, limitations) would be an advantage* Familiarity with data science (machine learning and artificial intelligence) would be an advantage* Aptitude for complex problem solving and innovation* Excellent communication and presentation skills* Team oriented empowered mindset with strong customer focus* Fluency in English mandatory, good German skills beneficialThis role will involve some travel for business worldwide and as such you must be able to travel accordingly.**Take your career to a new level and apply now!**This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.********Company:********Airbus Operations GmbH**Employment Type:**Permanent-------**Experience Level:**Entry Level**Job Family:**Flight & Space Physics By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking. #J-18808-Ljbffr