How often are new jobs added?

New internships are added continuously throughout the day. We monitor company career pages and hiring tools in real time, so most roles appear on InternshipsHQ shortly after they’re posted.

Why can I only view a limited number per day on the free plan?

The free plan is designed to let you explore the platform and see how fresh the listings are. Limits help us prioritize serious applicants and keep the signal high. Pro removes these limits and gives you full access.

What sources do you pull internships from?

We source internships directly from company career pages, startup hiring platforms, and applicant tracking systems like Greenhouse, Lever, Ashby, Workable, and others. This helps us surface roles earlier and avoid repost-heavy job boards.

Are these internships legitimate?

Yes. We actively filter out expired, duplicate, misleading, and low-quality listings. Each role is checked for legitimacy and posting freshness so you’re not wasting time on dead or fake opportunities.

Can I filter by location, experience level, remote, or salary?

Yes. You can filter internships by role, location, experience level, remote or hybrid status, and pay when available. Pro users get access to more advanced and saved filters.

Why are early alerts so important?

For internships, timing matters more than volume. Most callbacks happen when roles are still new and applicant pools are small. Early alerts help you apply before listings get flooded.

Do you show salary or pay information?

When companies include pay information, we display it clearly. Not all internships list salary upfront, but we prioritize transparency whenever the data is available.

Is InternshipsHQ suitable for senior or experienced roles?

InternshipsHQ is primarily built for internships, entry-level, and early-career roles. If you’re looking for senior or leadership positions, you may find limited results here.

INTERNSHIP DETAILS

Master Thesis - Multi-session global traversability Mapping for Autonomous Outdoor Navigation

CompanyFraunhofer-Gesellschaft

LocationStuttgart

Work ModeOn Site

PostedDecember 23, 2025

Internship Information

Core Responsibilities

You will design an algorithm for long-term, multi-session traversability mapping of static environments and evaluate different mapping configurations. Additionally, you will implement your solution within the ROS2, C++ navigation stack and test its performance in simulation and real-world scenarios.

Internship Type

full time

Company Size

279

Visa Sponsorship

Language

English

Working Hours

40 hours

Apply Now →

You'll be redirected to
the company's application page

About The Company

Fraunhofer IGD is the international leading institute for applied research in visual computing. Visual computing is image- and model-based information technology and includes computer graphics and computer vision, as well as virtual and augmented reality. In simple terms, the Fraunhofer researchers in Darmstadt, Rostock, and Kiel are turning information into images and extracting information from images. In cooperation with its partners, technical solutions and market-relevant products are created. Prototypes and integrated solutions are developed in accordance with customized requirements. In doing so, Fraunhofer IGD places users at the forefront, providing them with technical solutions to facilitate computer work and make it more efficient. Owing to its numerous innovations, Fraunhofer IGD raises man-machine interaction to a new level. Man is able to work in a more result-oriented and effective way by means of the computer and visual computing developments.

About the Role

Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechanical engineering, mechatronics, control engineering, software design, software engineering, technical computer science or comparable.

In the Professional Service Robots - Outdoor research group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots.

For mobile robots operating in outdoor, unstructured environments with unknown terrain conditions, maintaining a consistent, global traversability map is essential. Such a map allows the robot to plan long-range, environment-aware routes and avoid obstacles effectively over extended distances.

For this purpose, it is essential to develop a robust mapping algorithm, that allows for continuous, online map growth during exploration and mapping operations. The map architecture must be optimized for memory efficiency, and it must incorporate effectively localization information and uncertainty, allowing for loop-closure corrections to reposition and align all maps generated throughout the robot’s trajectory.

Additionally, in large and dynamic agricultural environments, it is often impractical to completely map the environment in a single session. Therefore, the mapping architecture needs to allow for multi-session mapping, where the robot incrementally builds and corrects its map over several missions. It must ensure accurate integration of newly explored areas and continuously update traversed regions, to correct previous mapping errors and adapt to environmental changes.

Hier sorgen Sie für Veränderung

In this thesis, you will design the algorithm to perform long-term, multi-session traversability mapping of static environments. You will evaluate different mapping configurations, focusing on submap-based approaches, which divide the environment into smaller, independent submaps. In particular, you will evaluate how to relate, update and merge these maps along the robot’s trajectory to support multi-session mapping. You will also ensure that the mapping architecture can support loop closure corrections detected by an external localization module.

You will then implement your solution inside our ROS2, C++ navigation stack and integrate it with existing components such as the LiDAR-Inertial localization module. Its performance will then be tested both in simulation and in real-world scenarios with our mobile CURT robots.

Hiermit bringen Sie sich ein

Student enrolled at a German university/Hochschule
Background in Computer Science, Software Engineering, Mechatronics or similar
Programming knowledge and experience with C/C++
Experience with ROS is a plus
Analytical mindset
Enthusiasm for mobile robotics
Fluent in English or German

Was wir für Sie bereithalten

Cutting-edge technology in the field of outdoor mobile robotics
Hands on with our robots in Stuttgart
Take on responsibility and freedom to implement your own ideas
Work with the best students in their discipline
Familiar atmosphere including Cake Thursday

Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt. Unsere Aufgaben sind vielfältig und anpassbar – für Bewerber*innen mit Behinderung finden wir gemeinsam Lösungen, die ihre Fähigkeiten optimal fördern.

Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft.

Bereit für Veränderung? Dann bewerben Sie sich jetzt, und machen Sie einen Unterschied! Nach Eingang Ihrer Online-Bewerbung erhalten Sie eine automatische Empfangsbestätigung. Dann melden wir uns schnellstmöglich und sagen Ihnen, wie es weitergeht.

Ms. Jennifer Leppich

Recruiting

+49 711 970-1415

jennifer.leppich@ipa.fraunhofer.de

Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA

www.ipa.fraunhofer.de

Kennziffer: 82291 Bewerbungsfrist:

Key Skills

Automation TechnologyElectrical EngineeringComputer ScienceCyberneticsMechanical EngineeringMechatronicsControl EngineeringSoftware DesignSoftware EngineeringTechnical Computer ScienceC/C++ROSAnalytical MindsetMobile RoboticsEnglishGerman