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Austrian Institute of Technology
Master Thesis "High Speed Image Processing & Tensor Processing Units"
Vienna
September 6, 2024
Our Competence Unit “High-Performance Vision Systems (HVS)”, part of the Center for Vision, Automation & Control located in Vienna invites applications for a master’s thesis position. The Competence Unit HVS innovates 2D & 3D vision systems, that go beyond the state of the art, by developing advanced vision sensor concepts, designing scalable embedded vision systems, and applying machine learning methods to conduct high-performance visual quality inspection in industrially relevant settings.
The objective of this master’s thesis project is to optimise image processing algorithms for Tensor Processing Unit (TPU)-specific hardware. Image processing algorithms play a crucial role in various domains of industry and are essential for the vision solutions developed at AIT. With the advent of specialized hardware like TPUs, there is an opportunity to explore how these powerful accelerators can enhance traditional image processing techniques. TPUs excel at parallel computation, making them ideal for tasks like convolutional operations, filtering, and feature extraction. Since the TPUs are designed for accelerating parallelizable algorithms which use low-bit precision, we expect that suitable algorithms can lead to a speed-up in comparison with standard CPU implementations.
- Throughout your master’s thesis project, you will evaluate the potential of TPU-specific hardware for industrially relevant inspection tasks.
- This involves: learning and understanding the limitations of the provided hardware, adaptation to its instruction set and testing image- processing algorithms on the provided platform. A comparison with the algorithm running on a different hardware (e.g., CPU, GPU) is also expected. Therefore, you will gain expertise in hardware-specific implementation of image-processing algorithms.
- You will review the principles & state of the art of TPUs in the industry.
- You will adapt and implement a suitable image-processing algorithm onto the platform and compare the performance of the chosen image-processing algorithms on other hardware platforms.
- Relevant CPU code is available, and a GPU (CUDA) implementation is considered as an optional part of the thesis.
- Together with the supervisory team, you will select a traditional image processing algorithm, which would be suitable for the TPUs.
- Under the guidance of our team, you will implement the algorithm (in Python or C/C++) and will plan and & conduct performance tests (e.g., precision, speed), and run the same algorithm on other hardware platforms (CPU, GPU).
- Ongoing Master’s studies in Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar.
- Programming skills in Python (or C/C++) is required
- Basic knowledge of image processing algorithms is advantageous
- Strong interest in Computer Vision Interest in technology development and applied research driven by real-world problems is expected.
- Good communications skills and ability to work in a multidisciplinary team are necessary.
- Very good command of English (in writing) is expected.
Why should you join us?
- Be part of a research team with more than 20 years of experience in industrial inspection and quality assurance systems and benefit of a stimulating and supportive framework
- Get the opportunity to work on an interesting real-world problem, that arose in ongoing collaborations with industrial partners
- Get familiar with cutting-edge imaging technologies, that are at the forefront of application-driven research in the field.
What to expect:
- Duration of the master’s thesis project: 6 months
- 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, and relevant certificates (transcript of records) online:
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