PhD Candidate - Transition to post-quantum cryptosystems
PhD Candidate - Transition to post-quantum cryptosystems
PhD Position in Transition to Post-Quantum Cryptosystems, Italy (Trento): full-time, temporary research opportunity starting Nov 2026. Application deadline July 9, 2026. Not funded by an EU programme.
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MASc/PhD position in Semi-Autonomous Monitoring to support Water Resources Planning and Management
MASc/PhD position in Semi-Autonomous Monitoring to support Water Resources Planning and Management
Fully funded MASc/PhD in Semi-Autonomous Monitoring for Water Resources Planning & Management. AI-driven monitoring using UAVs/USVs; Python required. Civil/Environmental/Water Resources background; domestic/international eligibility; GPA 3.3+. Start Jan 2027.
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Post-doctorant(e) en Étude de l’endommagement et de la tenue en fatigue d’un matériau composite à matrice acrylique CDD 18 mois à IMT Nord Europe
Post-doctorant(e) en Étude de l’endommagement et de la tenue en fatigue d’un matériau composite à matrice acrylique CDD 18 mois à IMT Nord Europe
Postdoctoral opportunity in fatigue of thermoplastic composites at a leading European engineering center. Combine imaging-based experiments (tomography, microscopy, in situ) with multi-scale modeling to connect microstructure, manufacturing defects, and fatigue life. 18 months.
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Doctoral researcher (Ph.D.) positions at UTN with the topic of Embodied Spatio-Temporal AI (m/f/d) (CSAI-MI-26-01)
Doctoral researcher (Ph.D.) positions at UTN with the topic of Embodied Spatio-Temporal AI (m/f/d) (CSAI-MI-26-01)
PhD Positions & Research Opportunities: Fully funded 3-year doctoral research in Embodied Spatio-Temporal AI and robotics. Develop algorithms, real-world robotic systems, and publish internationally. Proficient in Python/C++, ROS, PyTorch; mentoring and teaching included; international team.
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PhD positions in Computer Science at University of Guelph
PhD positions in Computer Science at University of Guelph
PhD Positions & Research Opportunities in cognitively-inspired computer vision for traffic scenes and driving-simulation. Multidisciplinary work in computer vision, robotics, AI. Requirements: BSc/MSc in CS or related, strong Python, research drive. Fall 2026 start; deadline June 1.
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PhD Position: Electronic, Thermal and Structural Properties of Two-Dimensional Materials
PhD Position: Electronic, Thermal and Structural Properties of Two-Dimensional Materials
PhD position in multiscale modelling of 2D materials, including binary and stacked layers. Techniques: DFT, machine learning, molecular dynamics, phase-field. Study electronic, thermal, and mechanical properties; build ML databases; target quantum devices and energy applications. Apply online.
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High performance resolution of linear differential equations at multiple precisions (M/F)
High performance resolution of linear differential equations at multiple precisions (M/F)
PhD position in high-performance algorithms for holonomic function evaluation and differential equations. Develop SIMD-accelerated fixed/precision arithmetic and automatic code generation for holonomic evaluations using straight-line programs. Explore elementary and special functions, and analyze...
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PhD Position: Improve the Energy Sustainability of AI Data Centers in Future Energy System
PhD Position: Improve the Energy Sustainability of AI Data Centers in Future Energy System
PhD Positions & Research Opportunities in electrical engineering and computer science to minimize data center carbon footprints. Develop real-time scheduling, optimization, and ML for AI workloads, and explore grid services and demand response for sustainable energy grid. Open until filled.
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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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A PhD stipend within the AI:EcoNet Lab (DEIS)
A PhD stipend within the AI:EcoNet Lab (DEIS)
PhD Positions & Research Opportunities: AI PhD stipend in graph learning for dynamic ecological networks. Three-year program from 2026. Masters in CS/math/physics with ML/graph learning, Python/PyTorch required. Apply with cover letter, CV, transcripts, and publications. Interviews in August.
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