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Conduct applied research in AI, distributed computing, and software engineering under the direction of the project’s chief investigators. Develop and implement scalable and secure architectures
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, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students, engineers, and academic staff across interdisciplinary domains. Leading publications in top
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Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep
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research in drone autonomy, sensing, and cooperative multi-agent systems. Designing, implementing, and testing embedded systems, control architectures, and robotic platforms. Collaborating with PhD students
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digital tool solutions that support frontline practitioners, policymakers, and international partners combatting wildlife trafficking and environmental harm. ESSENTIAL MINIMUM CRITERIA PhD in a relevant
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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criteria A PhD in Computer Science or Software Engineering or Computational Statistics, or a related field; or a Master’s qualification in a relevant field and/or equivalent demonstrated experience