Internship (d/f/m) in Neuromorphic Computer Vision job opportunity at Airbus SE.

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Airbus SE Internship (d/f/m) in Neuromorphic Computer Vision
Experience: General
Pattern: full-time
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degreeGeneral
loacation München Area, Germany
loacation München Area....Germany

Job Description: In order to support the Airbus Central Research & Technology Team, Airbus Defence and Space is looking for an Intern in Neuromorphic Computer Vision (d/f/m) Are you looking for an internship? Would you like to contribute to the research on artificial intelligence for future applications in the aerospace sector? Then join us as an intern (d/f/m) in Airbus Central Research & Technology (1XRD) in Taufkirchen, close to Munich. Location: Taufkirchen / Munich Start: As soon as possible Duration: 3-6 months 1XRD is the Artificial Intelligence domain of Central Research & Technology composed of researchers and research engineers in artificial intelligence working to develop technologies bridging the gap between research and business. The team collaborates with academics and stirs research projects to push the state-of-the art towards solving Airbus relevant problems. Your location Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options. Your benefits Attractive salary and work-life balance with a 35-hour week (flexitime). A final thesis is possible after consultation with the department. Traveling overseas or within Germany (team events) is possible after consultation and agreement from 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 Supporting research activities in machine learning, in particular computer vision with event cameras  Contributing to the development of demonstrators for relevant aerospace use-cases   Desired skills and qualifications Enrolled full-time student (d/f/m) in computer science, information technology, mathematics, engineering, or similar field of study Demonstrated ability to read, understand, and implement concepts found in scientific publications Experience in implementing machine learning algorithms using Python/PyTorch Experience in computer vision/object detection Knowledge in neuromorphic computing is a plus Able to work independently Proficient in English Please upload the following documents: cover letter, CV, relevant transcripts, enrolment 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 Defence and Space GmbH Employment Type: Internship ------- Experience Level: Student Job Family: Support to Management <JF-FA-ES> 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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