Master Thesis (d/f/m) on Event-Based Computer Vision at Airbus Defence and Space GmbH
Ottobrunn, Bayern, Germany -
Full Time


Start Date

Immediate

Expiry Date

05 May, 25

Salary

0.0

Posted On

06 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Sustainable Growth, Languages, Signal Processing, C++, Algorithm Development, Mathematics, Physics, Computer Science, Julia, English, Python

Industry

Information Technology/IT

Description

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)!

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.

EXPERIENCE LEVEL:

Student

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
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