Funded PhD position on developing the mathematical foundations for safe and reliable autonomous systems
Funded PhD position on developing the mathematical foundations for safe and reliable autonomous systems
PhD positions in control theory, dynamical systems, optimization and machine learning focused on provable safety for learning-enabled autonomous systems. Ideal for students who enjoy new theory and open problems; strong math/controls/ML background preferred. Apply with background and interests.
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PhD Studentship: Probabilistic combinatorics
PhD Studentship: Probabilistic combinatorics
PhD Positions & Research Opportunities: Study probabilistic methods in combinatorics and graph theory, applying random constructions to open problems. Supervised by a senior researcher. Requirements: MSc in Mathematics, strong combinatorics and discrete probability, good communication. Apply via...
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Data Analytics and Machine Learning on Compressed Data
Data Analytics and Machine Learning on Compressed Data
PhD position in Data Analytics and Machine Learning on Compressed Data. Full-time, fixed-term doctoral research across computing, engineering, and mathematics in Denmark. Competitive salary; application closes August 1, 2026.
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PhD Position: AI-Driven Digital Twin for Predictive Maintenance in Smart Manufacturing
PhD Position: AI-Driven Digital Twin for Predictive Maintenance in Smart Manufacturing
PhD opportunity: AI-enhanced Digital Twin for predictive maintenance and energy optimization in industrial settings. Uses IIoT, ML, and real-time analytics to boost efficiency and resilience in Industry 5.0 smart manufacturing. Self-funded; open call.
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Doctoral fellowship on the subject: Peripheral immune imprinting of brain immunity in human-relevant models
Doctoral fellowship on the subject: Peripheral immune imprinting of brain immunity in human-relevant models
PhD Position: explore peripheral immune imprinting of brain immunity using human cerebral organoid models; combine single-cell omics and in toto imaging to study neuroinflammation and amyloid pathology. One-year scholarship extendable to 4 years; apply by 30 June 2026.
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Research Scientist - QUARC - Department of Biomechanics
Research Scientist - QUARC - Department of Biomechanics
PhD positions and research opportunities in quantitative analytics and AI/ML for processing complex data. Develop recurrence, fractal, symbolic regression, deep learning, and Bayesian methods; build open-source tools (R, Python, MATLAB); support study design, grants, and large-scale data.
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PhD Position: Self-funded PhD opportunities in Physics
PhD Position: Self-funded PhD opportunities in Physics
PhD positions in Physics across quantum/complexity, medical/biological, condensed matter, and emergent photonics. Access labs with clean rooms, nanofabrication, materials analysis, and HPC. Apply by outlining research interests, identifying supervisors, and submitting CV and transcripts online wi...
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PhD student in the Emmy Noether junior research group (all genders welcome)
PhD student in the Emmy Noether junior research group (all genders welcome)
PhD Positions & Research Opportunities: Funded 3-year doctoral role in a research group on Flow-based Generative Models, Optimal Transport, and Inverse Problems for image processing. Ideal for MSc holders in math or CS with Python and ML libraries (PyTorch/JAX). Applications invited.
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Funded PhD positions in Computational Physics Laboratory, BGU
Funded PhD positions in Computational Physics Laboratory, BGU
PhD Positions & Research Opportunities in computational fluid–structure interaction. Join a multiphysics study of sedimentation and buoyancy of elastic bodies in density-stratified flows. Work with OpenFOAM and implicit immersed boundary methods—ideal for CFD, FSI, and applied physics researchers.
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PhD Candidate in Circumventing bird collision risk, an aerodynamic approach
PhD Candidate in Circumventing bird collision risk, an aerodynamic approach
PhD position at the interface of numerical mathematics, fluid mechanics, and ecology to model aerodynamic bird collision avoidance for wind energy. Develop CFD-based collision risk predictions and a Digital Twin to inform sustainable wind development. 3-year program, with potential teaching duties.
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