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researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight into, and potentially lead to, career
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. Proficient in Microsoft Office Software (Microsoft Word, Excel, PowerPoint), Scientific Data Analysis and Graphing Tools and other relevant computer-based tools used in a modern research environment
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publications, for stage in career, and evidence of contribution to the writing of these publications proportionate to opportunity. Experience with machine learning and/or machine vision applied to research in a
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, perception, serious games, simulation, AI, Machine Learning, sensors, decision-making, and to communicate this expertise to the Transition Engineering Lab colleagues, and employ the cutting edge knowledge in
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grow? We encourage our researchers to find and follow their passion. We offer fantastic opportunities for learning, development and professional growth. This project will provide hands-on insight
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(CVN ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing Laboratories (LTS5 ), Mr Jackson at the UoE