PhD Studentship: Advanced Monte Carlo Methods for Glassy Dynamics and Complex Materials
PhD Studentship: Advanced Monte Carlo Methods for Glassy Dynamics and Complex Materials
PhD opportunity in advanced Monte Carlo methods for glassy dynamics. Fully funded, interdisciplinary program across engineering, statistics, and chemistry. Develop cutting-edge simulation and modelling skills in physics, maths, and computer science for research and industry careers.
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PhD position VIDI project With greater power must come great responsibility
PhD position VIDI project With greater power must come great responsibility
PhD Positions & Research Opportunities: Law at Utrecht University (4 years) studying power and responsibility in GDPR data protection, with emphasis on platform regulation, data controllership, and empirical legal methods in an interdisciplinary NWO Vidi project.
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4 funded PhD students at Idiap Research Institute (Switzerland)
4 funded PhD students at Idiap Research Institute (Switzerland)
Explore PhD positions and research opportunities at a leading research institute. 4 PhD openings and 2 postdoctoral roles available across cutting-edge domains. Ideal for researchers seeking impactful academic work and collaboration.
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1-2 funded PhD position in industry-supported project focused on modeling how the quality of drinking water sources
1-2 funded PhD position in industry-supported project focused on modeling how the quality of drinking water sources
PhD positions and research opportunities in an industry-supported project evaluating how drinking water quality may change under climate scenarios. Integrates water science, data science, ML, climate modelling, and infrastructure risk. Seeks candidates bridging CS, civil/environmental engineering...
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PhD Studentship: Towards a Fundamental Understanding of the Deformation of Ruthenium and Its Alloys
PhD Studentship: Towards a Fundamental Understanding of the Deformation of Ruthenium and Its Alloys
PhD position funded under UKRI IDLA to study high-temperature processing and oxidation of ruthenium alloys. 3.5-year project starting Oct 2026; tuition covered, stipend ~£21,805. UK citizens and UK-domiciled EU students eligible; international applicants may apply with fee coverage.
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PhD Position: Causal AI and EEG Analysis to Characterise Sleep in Children with Neurodevelopmental Conditions
PhD Position: Causal AI and EEG Analysis to Characterise Sleep in Children with Neurodevelopmental Conditions
PhD position to study sleep in children with neurodevelopmental conditions using EEG, signal processing, deep learning, and causal AI. Create robust, interpretable algorithms to analyze sleep patterns and causal links, advancing paediatric neuroscience and early epilepsy insights. Flexible start...
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PhD Scholarship in AI Accountability - DTU Compute
PhD Scholarship in AI Accountability - DTU Compute
PhD Positions & Research Opportunities: A three-year funded PhD on algorithmic transparency and fairness, with Python, ML, statistics and societal impact. Open to CS or applied mathematics graduates. Apply by 31 July 2026; join international collaboration and real-world impact efforts.
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SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CARBIDE
SD-25045 – PHD IN HONG-OU-MANDEL INTERFERENCE AND ENTANGLEMENT WITH COLOUR CENTRES IN SILICON CARBIDE
PhD position in quantum photonics focusing on colour centres in wide-bandgap semiconductors, spin-photon entanglement and on-chip photonics. Build optical cryostat setups and study Hong-Ou-Mandel interference for quantum communication. MSc in physics or quantum tech; English required.
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PhD students and Visiting PhD students at ELLIS Institute Tübingen & MPI-IS
PhD students and Visiting PhD students at ELLIS Institute Tübingen & MPI-IS
PhD positions and funded visiting PhD opportunities in AI safety, trust, and governance. Research areas: autonomous agents, memory, multi-agent safety, LLM training dynamics, AI control, and privacy. Master’s degree with research experience required; apply via online form.
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PhD Scholarship: Deconvolving Individual Bioaerosol Signatures Using AI-Driven Analysis of Complex Biological Datasets
PhD Scholarship: Deconvolving Individual Bioaerosol Signatures Using AI-Driven Analysis of Complex Biological Datasets
PhD positions in AI-driven environmental sensing to identify individual bioaerosol signatures in indoor spaces. Join a multidisciplinary, funded scholarship spanning nanotech, chemistry, sensing and ML for up to 3 years of research.
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