Data-centric engineering, including sensing, data assimilation, experimental design, and streaming analytics. Its research spans core and emerging areas, including Mechanics and Materials, Robotics, Fluid Mechanics and Thermal Processes, Systems Modeling and Control, Mechanical Engineering in Biolog
AI, Data Science, and/or Machine Learning. Understanding of data structures, data modelling and software engineering best practices. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes.
Candidates should have demonstrated excellence in research harnessing and creating new DS/AI/deep learning/machine learning/big data tools, and strong fundamental training in environmental engineering/science, hydrology, atmospheric science, environmental chemistry/microbiology, or related disciplin
Learn and creatively apply machine learning, signal processing, and data science to real-world problems that no one else has previously solved. Have a strong understanding of, and interest in, machine learning, data science, signal processing, and/or electromagnetic theory. We are seeking highly mot
We seek candidates who are advancing foundational AI methods, including machine learning and data science approaches, and who have demonstrated connections between their AI research and civil and systems engineering domains. The Department of Civil and Systems Engineering (CaSE)in the Whiting School
Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team's technical capabilities. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-
AI, Data Science, and/or Machine Learning. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. You will help our clients navigate the complex world of modern data science, analytics, and software engineering.