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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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Participate in education and supervise student projects More specifically, within this project, you will: Develop and apply multi-objective topology optimization to identify and characterize the
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PhD: Spatial Optimization of Land Use in Brazil Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 13
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/research-teams/iwine ). YOUR TASKS PhD Position in AI-Driven Resilient RAN Optimization for 6G and O-RAN Architectures JOB DESCRIPTION This PhD research aims to investigate beyond state-of-the-art
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI
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, optimization, market microstructure, simulation, forecasting, and large-scale data analysis, drawing on a broad quantitative toolkit to develop new insights and approaches As a Quantitative Researcher
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offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in
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distributed embedded and cyber-physical systems, with emphasis on timing, safety, dependability, optimization, and real-time communication. DTU Compute spans mathematics, statistics, computer science, and
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optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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learning; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic