PhD Position: A Network-Edge Symbiosis for Accelerated and Distributed AI
PhD Position: A Network-Edge Symbiosis for Accelerated and Distributed AI
PhD Positions & Research Opportunities in network-edge AI symbiosis for IoT. Investigate partitioning AI models between the network and edge, with programmable hardware to cut latency and bandwidth, advancing distributed AI architectures and algorithms.
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Fully funded PhD studentships at the EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i)
Fully funded PhD studentships at the EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i)
Funded PhD positions in statistics and operations research, starting October 2026. A four-year, cohort-based program blending rigorous research with real-world industry challenges. Engage with charitable partners, international academics, and a strong postgrad career network. Apply now.
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Stochastic inversion of hydrogeological and geophysical data for aquifer characterization and groundwater management
Stochastic inversion of hydrogeological and geophysical data for aquifer characterization and groundwater management
PhD in stochastic inversion of heterogeneous hydrogeological and geophysical data to improve aquifer characterization and groundwater management. Develop a practical framework for joint data integration and uncertainty reduction across hydrogeology, geophysics, geology and hydro-geochemistry. 4-y...
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Fully funded MASc/PhD position in Semi-Autonomous Monitoring to support Water Resources Planning and Management – University of Toronto
Fully funded MASc/PhD position in Semi-Autonomous Monitoring to support Water Resources Planning and Management – University of Toronto
Fully funded PhD/MASc in semi-autonomous monitoring for water resources planning and management. AI-driven monitoring with UAV/USV data, Python, and ML for decision support. Open to domestic and international applicants with strong academic records and language proficiency.
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🚀 Funded PhD opportunity in Medical Physics, NeuroAI, Biomedical AI, and AI for Life Sciences, University of Rome Tor Vergata
🚀 Funded PhD opportunity in Medical Physics, NeuroAI, Biomedical AI, and AI for Life Sciences, University of Rome Tor Vergata
PhD Positions and Research Opportunities in Medical Physics and AI-driven Neuroimaging. Join an interdisciplinary lab at the physics-imaging-biomedicine interface working on MRI/PET/fMRI, radiomics, focused ultrasound, neuromodulation, and molecular modelling. Open to diverse backgrounds; data/ML...
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New Digital Transformation PhD Studentship at UEA
New Digital Transformation PhD Studentship at UEA
PhD Positions & Research in Computing Sciences: 3-year funded PhD for Home applicants starting Oct 2026. Research areas include ML/AI, Computer Vision, Data Science, Health Computing, Computational Biology, Cyber Security, Networks. Includes stipend and training funds. Identify a supervisor.
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PhD Position: The Productivity Promise: A Critical Study of AI-Driven Monitoring Technologies and Their Impact on Construction Productivity
PhD Position: The Productivity Promise: A Critical Study of AI-Driven Monitoring Technologies and Their Impact on Construction Productivity
PhD positions exploring AI-driven monitoring in construction to assess productivity impacts, site practices, and coordination. Develops an evidence-based framework for evaluating AI benefits and risks in project delivery; online application with a two-page proposal.
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Doktorand*in für Promotion im Bereich Drive Systems
Doktorand*in für Promotion im Bereich Drive Systems
PhD-Position in Drive Systems Software-Integration und KI-gestützte Automatisierung. Entwickle RAG-Multiagent-Frameworks, Datenanalyse und automatisierte Workflows. Voraussetzungen: Informatik/Data Science, Programmierung (Python/JS), Cloud/KI-Kenntnisse.
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Fully Funded PhD position on AI-based assessment of fire potential forecasts to inform wild fire prevention and management at Boise State University
Fully Funded PhD position on AI-based assessment of fire potential forecasts to inform wild fire prevention and management at Boise State University
PhD and Postdoc opportunities in AI-based fire potential forecasting to inform prevention and management. Develop ML/statistical models on geospatial data, fuse forecast products, and provide actionable guidance for fire managers. Apply with statement of interest and CV.
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PhD Studentship: Automatic Calibration of Electrooculography Data for Accurate Quantification of Eye-movements
PhD Studentship: Automatic Calibration of Electrooculography Data for Accurate Quantification of Eye-movements
PhD opportunity in AI for healthcare: develop neural networks to calibrate eye-movement signals at home for continuous vestibular assessment with a wearable EOG device. Fully funded (tuition + stipend), starting Oct 2026; 2:1 in Computer Science or related.
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