PhD Studentship: AI Based Prediction of Splice Site Selection
PhD Studentship: AI Based Prediction of Splice Site Selection
Explore PhD positions & research opportunities across disciplines. Find mentors, competitive programs, and resources to advance your academic career, collaborate with leading researchers, and shape your scholarly impact.
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1–2 fully funded PhD students starting Fall 2027, Department of Mechanical Engineering at Iowa State University
1–2 fully funded PhD students starting Fall 2027, Department of Mechanical Engineering at Iowa State University
PhD Positions & Research Opportunities: Fully funded PhD openings in AI-enabled computational science and biomedical engineering. Topics include scientific ML for PDEs, AI-driven digital twins, hybrid neural modeling, and UQ. Open to engineering, math, CS, physics applicants; rolling admissions.
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PhD position: On-chip topological photonics
PhD position: On-chip topological photonics
PhD in topological photonics: design on-chip photonic crystals for imaging, sensing, and computing. Combines theory, experiment, and cleanroom training. Open to physics/optoelectronics with strong photonics/maths background. Apply with research proposal, CV, references, transcripts; flexible opti...
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PhD position: Sports acoustics: Impact sound in cricket, golf, baseball and tennis
PhD position: Sports acoustics: Impact sound in cricket, golf, baseball and tennis
PhD Positions & Research Opportunities: Study acoustic signals from cricket, golf, and tennis to quantify impact mechanics and shot quality with physics-based models and machine learning. Collaboration and hands-on training in acoustics and data science, with flexible options.
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PhD position: Data-driven iterative learning control: achieving model-free convergence for real-world systems
PhD position: Data-driven iterative learning control: achieving model-free convergence for real-world systems
PhD project developing data-driven, model-free Iterative Learning Control (ILC) with fast convergence learned directly from trial data. Advances optimization-based control to outperform model-based ILC in robotics, autonomous systems, and manufacturing. Evaluations in simulation and real-world te...
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PhD Position: Energy Efficient Processing of Thermoplastic Composites
PhD Position: Energy Efficient Processing of Thermoplastic Composites
PhD Positions and Research Opportunities: Investigate energy-efficient processing of CBT thermoplastic composites using induction heating. Develop in-situ polymerisation, advanced characterisation (DSC, SEM, rheology), and novel targeted heating methods. Industrially funded; closing date 30 June...
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1 Fully funded Ph.D. Student Position Available in Robotics, Multi-Robot Systems, and Optimization-Georgia Southern University
1 Fully funded Ph.D. Student Position Available in Robotics, Multi-Robot Systems, and Optimization-Georgia Southern University
PhD Positions and Research Opportunities in electrical and computer engineering focusing on robotics, autonomous systems, multirobot coordination, sensor networks, stochastic modeling, UAV/USV monitoring, ML-driven optimization. Publications and collaboration. Apply with CV and research statement.
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PhD Position: Scalable Grey-Box Modelling For Adaptive Control Of Existing Housing
PhD Position: Scalable Grey-Box Modelling For Adaptive Control Of Existing Housing
PhD positions in sustainable housing using data-driven grey-box models and adaptive control to boost energy efficiency and thermal comfort in existing buildings. Join an internationally connected research effort with industry collaboration, targeting net-zero targets and real-world impact.
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Doctoral Researcher “Model-based and learning-based approaches for acoustical signal processing”
Doctoral Researcher “Model-based and learning-based approaches for acoustical signal processing”
PhD positions and research opportunities in electrical engineering and computer science, exploring model-based and learning-based approaches in medical physics and acoustics. Ideal for early-stage researchers seeking impactful, cross-disciplinary work; deadline 24 Jun 2026.
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PhD Candidate, Formal methods in Natural Language Processing
PhD Candidate, Formal methods in Natural Language Processing
Fully funded PhD position exploring formal methods to improve efficiency, transparency, and understanding of Large Language Models in Natural Language Understanding. Topics include neural-symbolic methods, LLM finetuning constraints, multilingual NLI. Apply with a 1-page proposal by 26 June 2026.
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