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of marine geophysical survey and machine learning algorithms; Job Requirements: A Bachelor degree in geophysics or equivalent and A PhD degree in geophysics / geomechanics or equivalent from a recognized
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, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced
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-academic venues. • Experience with programming (primarily Python) and machine learning libraries. • Curiosity and passion to explore new concepts, methods and technologies, and capability
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. Support the implementation and evaluation of radar signal-processing and machine-learning algorithms (e.g., range-Doppler processing, beamforming, clutter suppression, micro-Doppler extraction). Document
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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or Teaching Assistant at the National University of Singapore (NUS) Are you passionate about data science, machine learning, and artificial intelligence? Do you enjoy teaching and empowering others with
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candidates with a deep passion for AI and LLM-related research, and their applications in the financial domain. The selected candidate will play a key role in advancing our machine learning, large language
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics
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the area of efficient and interpretable machine learning systems. The successful candidate will work on projects involving ensemble learning, large-scale data analytics, and high-performance model design
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. • Familiarity with reinforcement learning and more generally machine learning. • Experience with communication protocols such as LoRaWAN, Zigbee, BACnet, Modbus, and IoT integration using MQTT and RESTful APIs