As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and digitisation. To achieve our goals, we rely on our specific research, development and technology competencies, which are the basis of our commitment to excellence in all areas. With our open culture of innovation and our motivated, international teams, we are working to position AIT as Austria's leading research institution at the highest international level and to make a positive contribution to the economy and society.

Our Center for Vision, Automation & Control located in Vienna invites applications for a master’s thesis position. At the Center for Vision, Automation & Control our research unit “Assistive & Autonomous Systems” closely works with industrial partners in order to develop safe and reliable technology components for assistance systems, that can be used in various areas of applications, for e.g.: Railway / Public Transport, Construction Industry, Logistics & Transportation, Agriculture & Forestry as well as in Aviation.

Automated robotic systems perceive the environment and can classify, locate and track objects for various applications in domain-specific areas. As part of our team Assistive & Autonomous Systems, you will support us within our research project MoSaiC, focusing on real-time monitoring of CBRN events and innovative sampling technologies to enhance the dynamic mapping of threats and vulnerabilities.


Master Thesis "Deep Learning for Lidar-Based Slam Loop Closure"


- Throughout this master’s thesis, you will closely work with our researchers and engineers, who focus on the development and deployment of assistive and autonomous systems, particularly unmanned aircrafts and land-based mobile machines – Hereby you will communicate and engage with a multi-disciplinary team to solve diverse multi-facetted challenges.

- Under the guidance of our experts, you will contribute to a rapidly growing field in aerial robotics.

- You will investigate the state-of-the-art and apply it in real-world scenarios and – as a final step – will design a proof-of-concept demonstration.

- You will learn how to implement an error propagation module to track the pose uncertainty of the LiDAR odometry.

- You will develop Deep Learning methods to build point cloud descriptors fit for loop detection.

- You investigate the literature about local vs global descriptors and contribute to the project development

- You integrate the resulting Loop Detections in a robust 6DoF Loop Closure module.

- You leverage the Loop Closure events to correct the accumulated uncertainty.

- You may present the evaluated and documented concepts and test runs at a conference or publish them in a journal.

- You will become a member of our indoor UAV development and investigate the best solutions for drift and map correction for LiDAR data.


Your qualifications as an Ingenious Partner:

- You are enrolled in a master’s study programme in computer science, software engineering, information and computer engineering, mathematics or similar

- Experience in programming / script languages: Python, C++ (PCL, Ceres, GTSAM)

- Experience in point cloud processing

- Experience in ROS and Gazebo is highly advantageous

- Experience with Deep Learning is highly advantageous

- Experience with SLAM is highly advantageous

- Good knowledge of verbal and written English


What to expect:

- Duration of the master’s thesis project: 6 months

- Start date: ideally as soon as possible – However there is some flexibility concerning the start-date

- EUR 968,-- gross per month for 20 hours/week based on the collective agreement. There will be additional company benefits. As a research institution, we are familiar with the supervision and execution of master theses, and we are looking forward to supporting you accordingly!



​At AIT diversity and inclusion are of great importance. This is why we strive to inspire women to join our teams in the field of technology. We welcome applications from women, who will be given preference in case of equal qualifications after taking into account all relevant facts and circumstances of all applications.


Please submit your application documents including your CV, cover letter, relevant certificates (transcript of records) online:


Assistive & Autonomous Systems, Computer Science, Software Engineering, Information and Computer Engineering, Mathematics






01. Mai 2024


30. April 2024


Recruiting AIT

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