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Join a cutting-edge research initiative developing breakthrough sanitation technologies for global impact. This fully funded PhD or MSc by Research opportunity, sponsored by the Gates Foundation
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Design and Manufacturing Engineering to Tackle Global Sanitation Challenges - MSc by Research or Phd
Design and manufacturing engineering represents the critical bridge between innovative concepts and real-world implementation, particularly in global sanitation technology where products must be both technically sophisticated and manufacturable at scale. With increasing emphasis on rapid...
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This research project, part of the Gates Foundation’s global health initiative, involves detailed chemical and biological analysis of liquid and solid waste from innovative toilet systems. Students will handle real human waste samples to develop robust protocols for solid and liquid waste...
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real-world deployment scenarios and collaborate with global organizations to ensure practical implementation and scalability. Key Research Areas: Software engineering, AI/machine learning, IoT
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Smart sanitation technology represents a critical intersection of automation engineering, embedded systems, and global health innovation. With 3.6 billion people worldwide lacking access to safely managed sanitation, automated toilet systems equipped with IoT sensors, intelligent controls, and...
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1 Year, partially funded MSc by Research studentship (HEIF funding) Eligibility: Home UK/EU applicants who must be permanently resident in UK (settled or pre-settled status) Bursary p.a: No bursary
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Masters of Artificial Intelligence and Machine Learning COMP SCI 7205A - Artificial Intelligence and Machine Learning Research Project A in Trimester 3, 2025 AND COMP SCI 7205B - Artificial
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The Australian Institute for Machine Learning (AIML) offers new supplementary scholarship opportunities for Master's students in Machine Learning. These scholarships support students undertaking
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). The content of their studies are closely related to the research areas of SECAI. This includes but is not limited to studies in the following programmes: - MSc Computational Modeling and Simulation (TUD) in
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. Adaptability and a willingness to learn are also important attributes, ensuring high standards of teaching quality and student engagement. Candidates will be evaluated on the suitability of their academic