Fully funded Ph.D. student for Spring 2027 or Fall 2027 on projects involving machine learning, signal processing University of Oklahoma (OU)
Fully funded Ph.D. student for Spring 2027 or Fall 2027 on projects involving machine learning, signal processing University of Oklahoma (OU)
Fully funded PhD position in scientific machine learning for biological and engineering systems. Research ML, signal processing, time-series analytics, anomaly detection, and autonomous experimentation, including data-driven battery diagnostics. Strong Python and ML library skills preferred.
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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 Candidate in Unified Autonomy across Robot Configurations
PhD Candidate in Unified Autonomy across Robot Configurations
PhD Positions & Research Opportunities in embodied AI pursue autonomy architectures across aerial, ground, and aquatic robots. Develop foundation models, robot world models, and onboard autonomy with deployments. Open to robotics, ML, or AI specialists; strong control/vision background preferred.
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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 Studentship: Machine Learning Accelerated Electronic Transport Calculations For Complex Materials
PhD Studentship: Machine Learning Accelerated Electronic Transport Calculations For Complex Materials
PhD positions in ML-accelerated electronic transport for complex materials. Build data-driven models with DFT and Boltzmann methods to predict multi-band electronic properties. Fully funded, interdisciplinary training across physics, engineering and math with industry collaboration.
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PhD on Hydrological model-data interaction and machine learning for headwater catchment analyses
PhD on Hydrological model-data interaction and machine learning for headwater catchment analyses
PhD position in hydrogeology focusing on headwater catchments, groundwater–surface interactions, and climate change impacts. Develop a multi-fidelity modelling platform with ML-based estimates of hydraulic properties for ungauged catchments. Funded, 4 years, starting Sept 2026, consortium.
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Post-Doctorant F/H Tidal resource assessmen, uncertainty quantification and optimization in the Alderney Race
Post-Doctorant F/H Tidal resource assessmen, uncertainty quantification and optimization in the Alderney Race
PhD/postdoc research opportunity in data-driven hydrodynamic modeling for tidal energy. Build multi-fidelity surrogate models for fast wake predictions and optimize tidal array layouts under uncertainty, emphasizing robustness, generalization, and scalable planning tools.
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🔍 Recruiting: Part-time PhD (Full-time Research Engineer) for August intake, Nanyang Technological University (NTU), Singapore
🔍 Recruiting: Part-time PhD (Full-time Research Engineer) for August intake, Nanyang Technological University (NTU), Singapore
PhD positions and research opportunities: two openings for a part-time PhD combined with a full-time Research Engineer role. Check the lab's selection criteria and submit your CV only if you meet them; ineligible applications will not be considered. Ideal for researchers seeking doctoral-engineer...
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PhD Position: Accessing New Chemistries: Tuning Reactivity Of Chemical Processes Using Ionic Liquids And Deep Eutectic Solvents
PhD Position: Accessing New Chemistries: Tuning Reactivity Of Chemical Processes Using Ionic Liquids And Deep Eutectic Solvents
PhD opportunity in Chemical Engineering studying how ionic solvents steer reaction mechanisms via molecular dynamics, quantum chemistry, and machine learning. Includes industrial collaboration and a doctoral college for transferable skills, guiding careers in academia or industry.
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PhD Studentship: Artificial Intelligence and Agent-based Control for Improving Energy Network Resilience to Threats
PhD Studentship: Artificial Intelligence and Agent-based Control for Improving Energy Network Resilience to Threats
PhD Positions & Research Opportunities: Develop AI-driven methods to predict and mitigate cascading failures in energy networks. Apply ML and agent-based control to boost resilience against HILP events; build a prototype resilience toolkit, use real-world data, collaborate, and publish.
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