Doctoral fellow - Department of Information Technology
Doctoral fellow - Department of Information Technology
PhD Positions & Research Opportunities: AI-driven resilient RAN optimization for 6G/O-RAN. Explore agentic AI and RL for robust, decentralized radio resource management across 6G, NTN, and Wi‑Fi. Four-year full-time fellowship for ML and wireless experts.
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Ph.D. positions (m/f/d, E13 TV-L, 65%)
Ph.D. positions (m/f/d, E13 TV-L, 65%)
PhD positions in heterogeneous-agent macroeconomics on scalable HANK models with empirically grounded belief rules. Explore mean-field games, adaptive learning, and RL-inspired solvers; advance monetary and fiscal policy analysis. Two-year, extendable contract. Deadline: 31 July 2026.
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PhD Optical detection of novel fluorescent markers for the rapid identification of sepsis
PhD Optical detection of novel fluorescent markers for the rapid identification of sepsis
PhD position in optical detection of novel fluorescent markers for rapid identification of sepsis. Interdisciplinary, international collaboration; full-time, four-year funded PhD with graduate training. English proficiency required. Apply by 15 July. Develop rapid, sensitive labels for early seps...
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PhD Position: Local-Global Conjectures for Spetses
PhD Position: Local-Global Conjectures for Spetses
PhD positions & research opportunities in mathematical sciences exploring real and complex reflection groups, spetses, and modular representation theory. Investigate unipotent blocks, fusion systems, and local-global conjectures. Apply online; funded and self-funded places available.
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Self-learning battery management systems for lithium–sulfur batteries
Self-learning battery management systems for lithium–sulfur batteries
Fully funded PhD positions on next-gen Lithium-Sulfur batteries for zero-emission transport. Develop a physics-based, self-learning BMS using real-time data and ML to handle ageing and diverse duty cycles. Four-year UK stipend with extensive battery and AI training.
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Two fully funded PhD positions in the School of Electrical, Computer and Energy Engineering (ECEE) at Arizona State University.
Two fully funded PhD positions in the School of Electrical, Computer and Energy Engineering (ECEE) at Arizona State University.
PhD Positions & Research Opportunities: Two fully funded PhD openings for Fall 2026 in engineering disciplines. Focus: Wireless Networks, Cybersecurity, AI. Requirements: strong math, Python & ML, Linux. Apply with CV, publications, and a statement of interest.
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PhD researcher in oral healthcare prevention in a hospital setting
PhD researcher in oral healthcare prevention in a hospital setting
PhD position in population studies and oral health. Full-time research opportunity for prospective doctoral researchers with strong quantitative skills to advance epidemiology, data analysis, and public health in oral health.
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PhD position in economics, business, and management
PhD position in economics, business, and management
PhD position in economics, business and management on regional productivity differences at firm level. Three-year stipend from Nov 2026. Use registry data and econometrics; contribute to productivity studies; teach 600 hours; 30 ECTS. International applicants welcome. Apply via university system.
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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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🎓 Funded PhD Opportunities (2 positions) – AI for Built Environment & Urban Climate at École de technologie supérieure (ÉTS)
🎓 Funded PhD Opportunities (2 positions) – AI for Built Environment & Urban Climate at École de technologie supérieure (ÉTS)
PhD Positions & Research Opportunities in AI-based modeling, ML, sensitivity analysis, meta-modeling, and multi-objective optimization. Areas: building performance simulation, heat-risk exposure, urban heat island analysis. Fields: data science, AI, ML, CS. Apply with CV and transcripts.
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