Master student in computer science, media informatics, data science or similar (f/m/x)

One focus of the Methods and Processing Group is the processing and analysis of image data from optical cameras for the exploration of maritime regions to detect and assess the situation above water.

Within your master thesis, you will investigate the applicability of synthetic scenes in comparison to real scenes for ship detection in maritime infrastructures. Using an existing realistic 3D model of a maritime infrastructure, as well as vessel models, you will work on the generation of synthetic images with photo-realistic appearance. Through a cross comparison of results obtained using synthetic/real images with computer vision and deep learning algorithms, the key objective will be an investigation of the impact of data augmentation using synthetic images to improve real da-tasets in tasks of computer vision for maritime security applications.

The main tasks will be:

  • Set-up the provided 3D model of a maritime infrastructure and integration of 3D ship models within a 3D content creation tool
  • Generation of synthetic images with the same appearance as a real ship dataset
  • Cross comparison study of the real and synthetic dataset for ship detection or segmenta-tion using existing computer vision and deep learning algorithms

The scientific results of your master thesis will have the possibility to be followed by a publication in a conference or journal.

Your qualifications:

  • final year of a masters degree in Computer Science, Media Informatics, Data science or simi-lar
  • experience with 3D content creation tools (e.g. Blender, Unreal Engine, Unity) and scripting (e.g. Python, JavaScript, C#)
  • eager to work with deep learning algorithms for object detection
  • knowledge of Linux is an advantage
  • fluency in written and spoken English
  • high willingness to work in a international team and enthusiasm for scientific work

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

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Deadline: 2023-05-31
Location: Germany, Bremerhaven
Categories: Computer Engineering, Computer Sciences, Data Science, Media Informatics, Programming Languages, research data, Student Assistants,


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