2 Fully Funded PhD Opportunities in AI & Machine Learning | UNC Charlotte
2 Fully Funded PhD Opportunities in AI & Machine Learning | UNC Charlotte
PhD Positions & Research Opportunities: Fully funded PhD openings in Spring/Fall 2027 for research in sequential decision-making in generative AI, AI evaluation/calibration, and ML for business/dynamic pricing. Strong math and coding skills with a passion for research required; applicants welcome.
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PhD position: Privacy and security risks in large language models
PhD position: Privacy and security risks in large language models
PhD positions in LLM privacy and security: audit and mitigate leakage, machine unlearning, differential privacy, RAG, and agentic AI. Interdisciplinary research across Law, Finance, HCI, and cybersecurity. UK doctoral program; strong DL/PyTorch skills required; inclusive, flexible work options.
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PhD Studentship: AI-Mediated Personalised Text Adaptation Strategies for Self-Regulated Learning
PhD Studentship: AI-Mediated Personalised Text Adaptation Strategies for Self-Regulated Learning
PhD Position in Computing & Digital Technology exploring AI-driven text adaptation and self-regulated learning with frontier LLMs. Create personalized educational interventions and join international research networks. 3-year funded PhD with stipend; open to home and international applicants; app...
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PhD Position: Digital Engineering
PhD Position: Digital Engineering
PhD Positions & Research Opportunities in Automotive Engineering and Digital Engineering. Study atomistic modelling, AI/ML for CFD, digital twins, and materials for batteries, fuel cells, and ceramics. Flexible supervision; apply online via funded or self-funded routes.
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PhD position: Computational physics of high‑power fibre lasers: from nonlinear dynamics to next‑generation applications
PhD position: Computational physics of high‑power fibre lasers: from nonlinear dynamics to next‑generation applications
PhD Position: high-power fibre laser research blending theory, simulations, and ML for next-gen beams in large-core multimode fibres. Explore gain, loss, nonlinearities, dispersion, and thermal effects. Collaborative, impact-driven, UK-funded; 2:1 honours degree required.
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PhD position: Experimental Measurement and Modelling of Turbulent Dispersed Multiphase Flows using Computer Vision and Machine Learning
PhD position: Experimental Measurement and Modelling of Turbulent Dispersed Multiphase Flows using Computer Vision and Machine Learning
PhD positions in turbulent emulsions exploring droplet dynamics in multiphase flows. Use advanced experiments (PTV, LIF), CV/ML to build predictive, data-driven models and high-fidelity datasets. Training in optical measurements and data-driven modelling for sustainable processing; publish and co...
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PhD position: Optoelectronic AI processors for cryogenic and space electronics
PhD position: Optoelectronic AI processors for cryogenic and space electronics
PhD opportunity in Electronic & Electrical Engineering: develop error-tolerant optomemristor neuromorphic processors for cryogenic/space electronics. Industrial collaboration, cleanroom nanofabrication, photonic integration, cryo data encoding, neural network design, and robust error mitigation.
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PhD position: Quantum communications enabled by hollow core optical fibres
PhD position: Quantum communications enabled by hollow core optical fibres
PhD Positions & Research Opportunities: Explore hollow-core optical fibres that guide quantum signals at 700–1000 nm while carrying classical telecom at 1530–1610 nm, enabling universal quantum-classical networks. Develop next‑gen quantum memories and repeaters.
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PhD position: Quantum machine learning for efficient spike sorting in low-cost neural recording systems
PhD position: Quantum machine learning for efficient spike sorting in low-cost neural recording systems
PhD opportunity in quantum machine learning for spike sorting on resource-limited neural recording systems. Develop quantum kernel methods to enable real-time brain–computer interfaces on low-cost hardware. Suits researchers in ML, quantum computing, signal processing, and neuroscience.
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PhD position: Qubit efficient quantum optimization and applications to industrial problems
PhD position: Qubit efficient quantum optimization and applications to industrial problems
PhD positions in Quantum Tech Engineering exploring qubit-efficient quantum algorithms for combinatorial optimization with industrial impact in logistics, pharma, transport, manufacturing. Funded international collaborations and visits; open to physics, engineering, or math grads; no prior quantu...
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