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eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https
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positions in the area of Artificial Intelligence (AI) and Machine Learning (ML) in Drug Discovery. This is a unique cluster hire initiative spanning the College of Pharmacy, Life Sciences Institute (LSI), and
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, scikit-learn, PyTorch, TensorFlow); additional experience with R, MATLAB, or Julia is an advantage. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning
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to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust, interpretable models from experimental and operational data
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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background in AI-enabled signal processing and machine learning algorithms, have experience with embedded platforms (e.g., NPU, FPGA, ARM Cortex-M), be proficient in programming languages like C, C++ and
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hands-on learning, cutting-edge laboratories, and real-world projects combine to prepare graduates for impactful careers across engineering, technology, and the built environment. Our department also
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technology and Windows software Effective communication and organizational skills Flexibility with daily work duties Ability to lift 30 pounds Additional Information The student assistant will help in a
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extending an offer. Candidates should have a background in computer science, data science, engineering, or a related quantitative field. They should be excellent programmers and creative problem-solvers
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benefits, and an on-campus children’s center (https://www.asi.calpoly.edu/childrens-center/). REQUIRED QUALIFICATIONS B.S. in electronic, electrical, computer science, or computer engineering required