Master Thesis (d/f/m) on Event-Based Computer Vision
Taufkirchen / Ottobrunn, Germany
Airbus
Airbus designs, manufactures and delivers industry-leading commercial aircraft, helicopters, military transports, satellites, launchers and more.Job Description:
In order to support our ambition of advanced sensing and communication, Airbus Defence and Space is looking for a
Master Thesis on Event-Based Computer Vision (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 of Communication Technologies as a Masterand (d/f/m)!
Location: Taufkirchen/Ottobrunn
Start: As soon as possible
Duration: 6 months
We at Airbus Central Research & Technology pioneer cutting edge technologies for future airborne and spaceborne systems, providing novel functionalities whilst reducing the environmental footprint of Airbus products and services.
You will join the team of our researchers working on sensors and data processing.
With your contribution you will make an impact on computer vision algorithms for event-based camera sensors for Airbus.
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 an 35-hour week (flexitime).
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
Research on existing algorithms for event-processing.
Development of a tailored algorithms
Evaluation and testing on pre-recorded datasets
Documentation of results, potential conference/journal publication
Desired skills and qualifications
Enrolled full-time master student and you are ready to start a master thesis in Computer Science or in Engineering, Physics and Mathematics (with a background in signal processing)
You are proficient in algorithm development and coding
You have good mathematical skills in order to analyze and to understand complex algorithms
You like to work in an agile and dynamic environment, with a high degree of freedom and self-motivation.
Required knowledge of one (or more) of the following languages (in order of preference): C++, Julia or Python.
Languages: English (fluent).
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 Defence and Space GmbHEmployment Type:
Final-year Thesis-------
Experience Level:
StudentJob Family:
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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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Computer Vision Engineering Julia Mathematics Physics Python Research Testing
Perks/benefits: Career development Flex hours Startup environment
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