16 assistant-professor-computer-science-data research jobs at The University of Alabama
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of projects or assignments you have completed using a programming language and/or teaching related to a programming or software. Job Summary: The University Libraries Research Computing Student Assistant
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, Geography, Civil Engineering, Computer Science, Mathematics, Physics or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning
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are required to complete a mock interview by phone. Instructions can be found at: https://alabama.box.com/v/CapstonePollApplications Job Summary: The Research Assistants collects data over the phone at Capstone
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Computer Science, Mathematics, Physics, Applied Economics, or a related quantitative field. Skills and Knowledge: Knowledge of scientific computing, data assimilation, and machine learning frameworks. Proficiency in
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. Responsibilities span from high-performance computational modeling and data-driven risk assessments to the publication of scientific findings and the mentoring of graduate students, contributing to both
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Pay Grade/Pay Range: Minimum: $15.48 - Midpoint: $18.56 (Hourly N2) Department/Organization: 214271 - Mechanical Engineering Normal Work Schedule: Varies Job Summary: The Research Assistant I
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Summary: The Research Assistant III assists with research work tasks of higher-complexity in support of a research project under minimal supervision. May assist with ordering equipment and supplies, set up
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data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research results. Preferred Qualifications
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Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need to have completed
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the High Performance Computing and Data Center, to be completed on campus by August 2026. This position collaborates with others in the growing machine learning and exoplanet subgroups within the Physics and