Master Thesis "Efficient and Secure Deep Learning Image Descriptors"

at  Austrian Institute of Technology

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 digitalisation. 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.
Image descriptors are a fundamental technology in computer vision, driving applications such as 3D reconstruction, SLAM, visual localisation, and more. Recent advances in Deep Learning (DL) have led to significant improvements over traditional hand-crafted methods, offering enhanced robustness and adaptability. However, these advancements come with notable challenges. Deep learning-based descriptors demand high computational resources, limiting their suitability for deployment on resource-constrained edge devices. Moreover, recent research has highlighted privacy vulnerabilities in both traditional and DL-based descriptors.

YOUR QUALIFICATIONS AS AN INGENIOUS PARTNER:

• Ongoing master’s studies in the field of Computer Science, Robotics, or Applied Mathematics
• Solid knowledge of Python or C++
• Experience with PyTorch/ExecuTorch (formerly PyTorch Mobile) or TensorFlow/LiteRT (formerly TensorFlow Lite)
• Knowledge of computer vision is advantageous
• Experience with edge computing is advantageous
• Proficiency in English, both spoken and written

WHAT TO EXPECT:

• Duration of the master’s thesis project: 6 months
• Start date: ideally 01.03.2025 or 01.04.2025EUR 1002,
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• 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.

Please refer the Job description for details