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further information about the project, please contact: Line Planck Kongstad Department of Public Health, DaCHE University of Southern Denmark (SDU) Tlf. 65509638. E-mail: lpkongstad@health.sdu.dk
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failure analysis using advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics
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or passive components into organic substrates; has experiences in magnetic components design, optimization and integration; is familiar with the simulation tools such as Ansys (Maxwell, Q3D, Icepak), LTSpice
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the candidate will be made by Professor Lars Jelsbak and Post Doc Carlos Neftaly
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demonstrating high-performance devices: Numerical simulations, device fabrication in the cleanroom (relying on international partners), and device characterization (relying on the facilities in the CIE lab
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qualifications include experience in one or more of the following areas: Indoor air quality measurements and analysis Synthesis and characterization of smart materials Numerical simulations (e.g., Computational
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. We are a team of currently ca. 15 researchers and engineers, specialized in robot solutions involving modelling, simulation, and control of advanced robot technologies (systems and services
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Modelling using CAD design and simulations, and mathematics. A strong motivation for collaborative projects within academia and industry Proficiency in Danish is required due to collaboration with local
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. Responsibilities and qualifications Conduct original research on AWES flow environment, control systems, & simulation. Develop & validate AWES models for flight dynamics and energy harvesting efficiency. Participate
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability