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research experience (which may include experience gained as an undergraduate); demonstrated interest in computer science, progress, computational performance, algorithmic improvement; proficiency with: MS
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novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data. Pursue and complete a PhD thesis within the appointed 4-year duration. Join the Vienna Doctoral
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) for GNSS-R and Signals of Opportunity (SoOP). Satellite scheduling (Tasking): Implement centralized (MILP) and decentralized (CBBA) scheduling algorithms. System optimization: Perform multi-objective
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and experimental characterization of robotic control algorithms in embedded systems (e.g. integration with hardware timers and interrupts, motor encoders and H-bridges) • Experience with the Haptic
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wide-field surveys (ZTF, LSST, Argus). • Develop algorithms for low-latency multi-messenger searches combining gravitational-wave, gamma-ray-burst, fast-radio-burst, and optical detections. • Make
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to support reliable DAS interpretation and urban infrastructure monitoring. Key Responsibilities: Develop automated, uncertainty-aware algorithms to infer and map fiber-optic cable routes from DAS-derived
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Good to very good grades First experiences with algorithm development preferably using Python or MATLAB Basic understanding of Quantum Optics and Interferometry Interest to learn about Fourier optics and
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic
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lead to better-behaved inverse problems. These mathematical insights will subsequently be translated into computational algorithms for inversion, uncertainty quantification and experimental design. The
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and development of robot localization algorithms and computational methods. Responsibilities: Research and development of robot localization algorithms and computational methods Responsible for setting