Master Thesis AI for Galley Design (d/f/m) job opportunity at Airbus SE.

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DatePosted 30+ Days Ago bot
Airbus SE Master Thesis AI for Galley Design (d/f/m)
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Pattern: full-time
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degreeMaster's (M.A.)
loacation Hamburg Area, Germany
loacation Hamburg Area....Germany

Job Description: In order to support the Galleys & Stowages Architecture Team, Airbus Operations is offering  a Master Thesis: Artificial Intelligence methods for Galley Design  (d/f/m) You are looking for a master thesis and want to get to know the work of a job title? Then apply now! We look forward to you supporting us in the department designation as a Masterand (d/f/m)! Location: Hamburg / Bremen Start: As soon as possible Duration: 6 months Your location You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy. Your benefits Work-life balance with a 35-hour week (flexitime). Mobile working after agreement with the department. International environment with the opportunity to network globally. Work with modern/diversified technologies. At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings. Opportunity to participate in the Generation Airbus Community to expand your own network. Your tasks and responsibilities Designing aircraft cabins today is complex and demanding. New opportunities are emerging through artificial intelligence (AI) processes, tools, and methods to enhance aircraft cabin design and significantly reduce engineering efforts. The goal of this exploration study is to pinpoint which processes can be enhanced using AI, evaluate the most suitable design tools and methods, and provide an overview of the potential value and benefits. In this work, the available data from a cabin monument should be evaluated using artificial intelligence methods and the potential of use cases shall be highlighted within a proof of concept showing the process for a new monument architecture design. Desired skills and qualifications Enrolled full-time student (d/f/m) in the area of Data Science, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Systems Engineering or an equivalent field of study. Basic knowledge in the field of artificial intelligence Strong interpersonal skills and able to work in a team. Fluent in English. Independent and conscientious way of working Interest in working across teams and approaching people Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.  Not a 100% match? No worries! Airbus supports your personal growth. Take your career to a new level and apply online 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: Final-year Thesis ------- Experience Level: Student Job Family: Stdized Platform, Module & Version Eng. <JF-EN-EL> 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  emsom@airbus.com . At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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