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markers such as eye movements, cognitive load, attention dynamics and eeg-based measures; Designing and conducting immersive virtual reality experiments and naturalistic field studies; Studying behavioural
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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, computer science, interaction design, applied artificial intelligence, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire
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stakeholders in the design of scenarios for management purposes. Your profile Applicants should hold a PhD in biological oceanography, marine ecology, environmental sciences, or similar. We expect that you have
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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development support to help you plan your next career step. At HST, our values – Share. Care. Dare. – shape the way we collaborate, support one another and create knowledge with societal impact. Learn more
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technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human
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transferable skills that prepare you for careers in academia, industry and the public sector. Towards the end of your PhD, you will be offered dedicated career development support to help you plan your next
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at the PhD School of Natural Sciences at Aarhus University. The expected PhD-project will be embedded in a work package that focuses on the design, implementation, and evaluation of AI and immersive virtual
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. Experience with embedded systems, real-time computing, hardware-software co-design, FPGA development, or hardware-accelerated computing will be considered a strong advantage. Familiarity with efficient