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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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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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of Research ExperienceNone Additional Information Eligibility criteria Education - PhD in education, cognitive psychology, occupational psychology/ergonomics, educational technology, or a related field. - Dual
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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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own learning. You should apply if First degree in Engineering, Applied Mathematics or Physics (with an MSc or PhD in a related topic). Experience of processing of numerical and/or experimental data and
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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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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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closely related field PhD training covering topics such as computational modelling, numerical methods, statistical analysis, machine learning or data-driven analysis of complex systems Experience 0–3 years