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Field
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Bridge Converters Using Wide-Band Gap Semiconductors for High-Power Applications - Eng-PhD-09-25 AI-Driven Digital Twin for Real-Time Vibration Modelling and Stability Control in Machine Tools - Eng-PhD-23
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interactions mediated by collective vibrations, and in-situ cooling. This enables stable operation and continuous readout of dissipative many-body phases. This highly controllable platform allows us to address
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Anomaly detection for downhole vibrations, bit failure, and circulation losses Integrating physical modeling, digital twins, and data-driven decision systems 4. Geothermal Solutions for Norway Assessing
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optimization (WOB, RPM, flow rate, etc.) using machine learning techniques Anomaly detection for downhole vibrations, bit failure, and circulation losses Integrating physical modeling, digital twins, and data
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or PhD project: Develop and optimize microbial hydrolysis of feather and possibly other keratinous materials at different scale (100 mL, 3L, 42L, 100L). Perform vibrational spectroscopy analyses and
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-quality acoustic datasets over time; 3. AI methods for removing noise and outliers from the data; 4. AI methods for extracting key features from multi-modal data; 5. AI assisted monitoring of damages in
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responsibilities (dependent on experience level of applicant) Develop and improve multi-temporal InSAR processing algorithms (e.g., time series analysis, phase unwrapping, noise mitigation, filtering, atmospheric
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gain media with low-loss photonic integrated circuits (PICs) has recently enabled integrated lasers with faster tuning and lower phase noise than the best legacy systems, including fiber lasers. In
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uncertainty, modality dropout, and noise propagation, which can degrade robustness and erode trust in model outcomes. This project aims to create a unified framework for building lightweight, data-efficient
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parts of CBM. Therefore, diagnostics and prognostics of rotating machinery can help to reduce machine downtime and cost. Many techniques such as vibration analysis, current signature analysis, acoustic