Fully funded PhD positions in Electrical and Computer Engineering (Fall 2026 or Spring 2027)-University of Colorado Colorado Springs
Fully funded PhD positions in Electrical and Computer Engineering (Fall 2026 or Spring 2027)-University of Colorado Colorado Springs
PhD positions in wireless networks, information theory, stochastic optimization/control, and ML. Join a growing research group with graduate assistantships. Areas include semantic communication, AI for networks, edge computing, and networked ML. Strong applicants with MATLAB/Python welcome.
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PhD Position: Computational Modelling of Advanced Functional Materials
PhD Position: Computational Modelling of Advanced Functional Materials
PhD position in computational chemistry exploring molecular materials for light sources, solar cells, and sensors. Topics include luminescence, singlet fission, and lanthanide sensors; macrocycles and battery applications. Build quantum chemistry, data automation, and scientific communication ski...
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PhD Candidate in Data-driven optimization for Energy Communities
PhD Candidate in Data-driven optimization for Energy Communities
PhD Candidate position in data-driven optimization for energy communities at a leading research university. Advance your research career in energy systems and optimization methods. Apply by June 18, 2026.
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PhD Studentship - Population-Based Indirect Damage Detection System for Railway Bridges
PhD Studentship - Population-Based Indirect Damage Detection System for Railway Bridges
PhD opportunity in Civil/Structural/Mechanical Engineering to advance indirect damage detection for aging railway bridges via instrumented trains and self-supervised deep learning, enabling scalable structural health monitoring. Funding for home students; start Oct 2026.
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PhD position: High resolution sensing and computing for extreme conditions
PhD position: High resolution sensing and computing for extreme conditions
PhD Positions & Research Opportunities: quantum-enabled sensing for aerospace. Develop MEMS-based sensors and quantum-inspired processing to boost detection, navigation, and environmental awareness in next-gen aircraft. Interdisciplinary MEMS, acoustics, and quantum sensing. Closing: 31 July 2026.
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PhD Position F/M Physically-based skin models for 3D reconstruction and temporal tracking from multi-video observations
PhD Position F/M Physically-based skin models for 3D reconstruction and temporal tracking from multi-video observations
PhD Position: Develop physics-based 3D reconstruction from images/videos using scalable radiance encoding for medical imaging. Study explainable skin radiance and SDF rendering to track scoliosis. Requires Master's in math/CS/physics; Python/PyTorch/CUDA skills.
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Exchanges between the coastal ocean and the deep sea
Exchanges between the coastal ocean and the deep sea
PhD Position exploring coastal–deep-sea exchange and the ocean carbon cycle. Compare global/local numerical models, online/offline simulations, and Eulerian vs Lagrangian methods to estimate deep-sea sequestration timescales. Interdisciplinary, cross-scale ocean connectivity.
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PhD position MSCA Newton - Design of Software-Defined WAN controllers for 6G networks
PhD position MSCA Newton - Design of Software-Defined WAN controllers for 6G networks
PhD positions in Communication Systems and Computer Science under MSCA Horizon Europe (First Stage Researcher, R1) in France. Full-time, temporary, start 1 Nov 2026. Open to researchers seeking doctoral opportunities. Application deadline: 30 June 2026.
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PhD Studentship: Generative and Hybrid AI for Pharmaceutical Reactor Design
PhD Studentship: Generative and Hybrid AI for Pharmaceutical Reactor Design
PhD Positions & Research Opportunities: Fully funded PhD on AI-driven crystallisation reactor design using Bayesian models, ML, generative models, and physics-informed ML. Start Oct 2026. UK-rate stipend; fees covered. Open to home, ROI, EU with settled status. Apply by 30/06/2026.
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PhD Studentship: Cracks and Code: From High-Fidelity Simulations to Fast Scientific Machine Learning Models
PhD Studentship: Cracks and Code: From High-Fidelity Simulations to Fast Scientific Machine Learning Models
PhD positions in modelling heterogeneous systems: study crack initiation and growth in metals under high-rate events using atomistic and continuum simulations, plus fast scientific ML models. Interdisciplinary training across physics, engineering, and math with industry collaboration.
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