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Find2Fix will engineer the first open-source tool for the entire process from software error discovery to mitigation based on modern active learning. Job Description You will research the state
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Institute and will be working together with researchers from QuSoft . This PhD project aims to push the state-of-the-art in quantum compilation, verification and/or classical simulation. The exact project
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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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standards. -Experience with data visualization, automation, and software development for data science. -Knowledge of crop modeling, simulation tools (APSIM, DSSAT, APEX), or digital twins is a plus. -Strong
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component modeling and testing. Knowledge or classwork related to energy systems with design and computational model analysis using engineering software will be necessary. Demonstrated research capability and
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techniques with open-source autonomous driving software (for sim- ulation and testing) Applicants should fulfil the following requirements: a master’s degree in engineering sciences (preferably in computing
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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working
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team of engineers, analysts, and software developers. GAC works to develop and apply state-of-the-art energy system modeling techniques, software, and simulations for breakthrough engineering and techno
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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implementation (Month 22–24), · Hitachi Energy: Benchmarking of magnetic components (Month 30–32), · Danfoss: Experimental model verification (Month 34–35). IMPORTANT: Strong knowledge in