Masterthesis (f/m/x) - Investigating Visualization Techniques for Public Space Object Catalogs

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies.

Modify Cookie Preferences

Reject All Cookies Accept All Cookies

Skip to main content

Language

Deutsch (Deutschland)

English (United Kingdom)

Profile

Jobs

Careers

DLR as an employer

Language

Deutsch (Deutschland)

English (United Kingdom)

Profile

Jobs

Careers

DLR as an employer

Language

Deutsch (Deutschland)

English (United Kingdom)

Profile

Jobs

Careers

DLR as an employer

Search Jobs

Please find our joint appointments and professorships on our website: Joint appointments / Professorships

Apply now

Masterthesis (f/m/x) - Investigating Visualization Techniques for Public Space Object Catalogs

Job Description

Req ID: 5119

Place of work: Braunschweig

Starting date: As soon as possible

Career level: Student research project and final thesis

Type of employment: Part time, Full-time

Duration of contract: up to 6 months

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 12,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, make a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research.

Our areas of competence include reliable and safety-critical software systems, artificial intelligence, high-performance computing and quantum computing, human-system interaction and visualisation, software and systems engineering as well as digital platforms and digital twins.

What to expect

In recent years, several comprehensive catalogues for relational space object data have been developed and put into public operation. These databases contain millions of entries, providing metadata such as orbital parameters, object size, and origin and many more. However, the sheer volume of data presents a significant challenge: simple 3D renderings of planned trajectories amidst a cloud of other objects do not provide an easily usable and readable overview of the setting. We want to provide improved visualizations of such data in CosmoScout VR, an open source visualization tool for data in the context of the solar system.

Your tasks

This thesis investigates how to transform raw orbital data of spacecraft and other objects into meaningful visualizations that directly inform end-users when and where trajectories may overlap. A key focus is the representation of uncertainty. The research should explore whether volume-based visualization on spatial density offers a more intuitive understanding of crowded zones compared to individual trajectory plotting. Furthermore, the study identifies the interaction patterns, such as spatio-temporal filtering and linked 2D-3D views, required for effective orbital exploration.

Your profile

You are studying in Computer Science, Mathematics, Data Science, or similar courses.

You own good knowledge in programming, preferably in C++.

Furthermore, you have interest in high-quality software development.

And you are a team player with creativity, independence and personal responsibility.

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5119) please contact:

Jonathan Fritsch

Apply now

Imprint

Privacy Policy

Terms and conditions

Accessibility Statement

Cookie-Manager

Opens in a new tab.

Opens in a new tab.

Opens in a new tab.

Opens in a new tab.

Opens in a new tab.

×

Cookie Consent Manager

When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer.

Required Cookies

These cookies are required to use this website and can't be turned off.

Required Cookies

Show More Details

Required Cookies

Provider

Description

Enabled

SAP as service provider

We use the following session cookies, which are all required to enable the website to function:

"route" is used for session stickiness

"careerSiteCompanyId" is used to send the request to the correct data centre

"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor

"Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another

Cookies from provider SAPasserviceprovider are required and cannot be turned off

Functional Cookies

These cookies provide a better customer experience on this site, such as by remembering your login details, optimising video performance or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies.

Consent to all Functional Cookies

Show More Details

Functional Cookies

Provider

Description

Enabled

YouTube

YouTube is a video-sharing service where users can create their own profile, upload videos, watch, like and comment on videos. Opting out of YouTube cookies will disable your ability to watch or interact with YouTube videos.

Cookie Policy

Privacy Policy

Terms and Conditions

Consent to cookies from provider YouTube

Confirm My Choices

Reject All Cookies Accept All Cookies