PhD Research Fellow in AI for Rehabilitation and Motor Learning (ref 303644)
PhD Research Fellow in AI for Rehabilitation and Motor Learning (ref 303644)
PhD Research Fellow in AI for Computer Science in Norway. First Stage Researcher (R1) role, full-time doctoral fellowship in AI and technology systems. Designed for academics seeking advanced AI research opportunities.
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Energy-Water Systems Scientist
Energy-Water Systems Scientist
PhD-level research opportunity in the energy–water nexus: model water use for hydropower and thermoelectrics, apply AI/ML to energy–water analytics, build large datasets, and advance grid resilience. Ideal for interdisciplinary researchers seeking collaboration and HPC access.
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PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms
PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms
PhD Positions & Research Opportunities: Three-year fellowship in numerical mathematics, AI and wind-energy multiscale simulation with digital-twin asset management. Develop hybrid physics-machine learning models; publish widely; international collaboration; strong programming skills required; app...
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PhD Positions in AI & Optimization & Communications at
PhD Positions in AI & Optimization & Communications at
PhD and MSc research opportunities in AI-driven wireless networks, 5G/6G, ISAC, MIMO/OTFS, and AI for communications. Fully funded openings for Fall 2026 or Winter 2027. Applicants with relevant backgrounds are encouraged to apply; submit CV, transcripts, and a research statement.
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PhD Position: Memristive Reservoirs and Artificial Neurons for Neuromorphic Computing
PhD Position: Memristive Reservoirs and Artificial Neurons for Neuromorphic Computing
PhD positions in neuromorphic computing hardware exploring memristive reservoir computing, artificial neurons, and stochastic devices for ultra-low-power, real-time edge AI. Topics include device modeling, circuits, robust learning, and hardware co-design. Online applications; ref PH/SS-SF2/2026.
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A funded PhD research opportunity is available at UNC Charlotte, United States, in the Computational Mechanics and Intelligent Systems Lab
A funded PhD research opportunity is available at UNC Charlotte, United States, in the Computational Mechanics and Intelligent Systems Lab
PhD Positions & Research Opportunities: Funded doctoral research at the crossroads of topology optimization, machine learning, quantum computing, and computational mechanics. Develop next-gen design, simulation, and intelligent decision-making for AI, ML, and finite element analysis.
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Phd Studentship: School of Engineering
Phd Studentship: School of Engineering
PhD position in mixed reality for multisensory built-environment assessment. Develop MR simulations to study perception and well-being from visual, auditory, and vibrotactile data. 3.5-year full-time funded PhD with £21,805 stipend. International applicants welcome; apply with CV and statement.
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A PhD stipend within the AI:EcoNet Lab (DEIS)
A PhD stipend within the AI:EcoNet Lab (DEIS)
PhD Positions & Research Opportunities: AI PhD stipend in graph learning for dynamic ecological networks. Three-year program from 2026. Masters in CS/math/physics with ML/graph learning, Python/PyTorch required. Apply with cover letter, CV, transcripts, and publications. Interviews in August.
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PhD Docentprofessionalisering inzet AR/VR in het STEM-onderwijs
PhD Docentprofessionalisering inzet AR/VR in het STEM-onderwijs
PhD-positie: docentprofessionalisering inzet AR/VR in het STEM-onderwijs. Onderzoek naar implementatie en evaluatie in het basisonderwijs, met een grootschalige interventiestudie en een review over effectieve docentprofessionalisering. Vierjarige fulltime positie; solliciteer vóór 25 juni 2026.
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📢 Funded PhD Opportunities in Climate, Air Quality, and Health-Nanyang Technological University
📢 Funded PhD Opportunities in Climate, Air Quality, and Health-Nanyang Technological University
PhD Positions & Research Opportunities: Join a collaborative lab tackling climate change, air pollution, and health impacts. Focus areas include atmospheric modeling, AI-driven data science, and urban resilience tools. International team, state-of-the-art monitoring and computing resources.
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