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computational engineering, mathematics, computer science, physics, engineering or a related field Strong background in numerical methods and machine learning Proficiency in at least one programming language
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collaboration. Qualifications: Applicants must have a PhD in Robotics, Control Engineering, Machine Learning, AI, Mechanical or Electrical Engineering, or a closely related field. Strong focus on robot
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environments This PhD project investigates the use of digital technologies (environmental sensing, user feedback loops, computer vision, machine learning) and theories of human perception and behavioral nudging
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
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20 Jan 2026 Job Information Organisation/Company Czestochowa University of Technology Research Field Engineering » Mechanical engineering Researcher Profile Recognised Researcher (R2) Positions PhD
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other relevant duties deemed necessary. Qualifications Bachelor’s and/or Master’s Degree in Computer Science or Computer Engineering, Informatics or a relevant; PhD in Computer Science or Computer
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical
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other researchers, industry and end-users. • Aptitude in a relevant area (e.g. data analysis, machine learning, rail engineering, asset management, hydrology, hydraulics) as evidenced by previous
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of Technology seeks a driven and committed PhD student with a focus on the infiltration dynamics in nature-based stormwater solutions, with the aim of improving process-based understanding and long-term
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We seek a highly motivated Research Fellow to reverse engineer microstructured composite materials with novel