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Grant Agreement No. 101312169. Working tasks: The PhD-project DC14 focuses on the development of an assisting tool for electrical discharge machining (EDM) to gain deeper knowledge on machining states and
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28 Sep 2026 Job Information Organisation/Company TU Darmstadt Department Electrical Engineering and Information Technology Research Field Computer science » Other Mathematics » Probability theory
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towards series production of point-of-care (POC) diagnostic parts through… developing advanced laser-beam machining strategies to fabricate moulds for forming of micro-fluidic features in POC diagnostic
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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influencing factors and improve the accuracy, robustness and energy efficiency of intelligent sensing systems. Apply AI as an engineering tool: Use signal processing, statistical methods and machine learning
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multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures
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and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability, light-induced phase segregation, ion migration
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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development
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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning