The University of Arkansas at Pine Bluff is seeking a Research Associate to oversee IT infrastructure and AI applications in aquaculture research. The role involves managing networking systems, developing AI-driven monitoring systems, and supporting ongoing research projects.
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Job Summary
The Research Associate will oversee computer networking, data connectivity, and system performance across UAPB's aquaculture research facilities.
This position combines advanced IT management with artificial intelligence applications in aquaculture research, focusing on analyzing shrimp and fish feeding behavior, growth metrics, and health assessment.
Key responsibilities include managing network systems, developing machine learning models, and leading the assembly and maintenance of a high-performance computing system.
Matching Summary
Match Score: 85
The University of Arkansas at Pine Bluff is seeking a Research Associate to oversee IT infrastructure and AI applications in aquaculture research. The role involves managing networking systems, developing AI-driven monitoring systems, and supporting ongoing research projects.
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Salary
$55,000 – $63,541
Skills & Requirements
Must-have
Manage IT systems across multiple facilities
Develop AI-based monitoring systems
Maintain high-performance computing system
Troubleshoot software, hardware, and networking issues
Manage large datasets and computational workflows
Nice-to-have
Commitment to innovation in AI
Excellent communication and teamwork skills
Strong problem-solving abilities
Key Requirements
BS or MS in IT, Computer Science, AI, Data Science, or related field
Proven experience with networking systems and IT troubleshooting
Knowledge of Python, R, MATLAB, or similar programming languages
Familiarity with Linux environments and server management
Master's degree or equivalent experience in AI, Computational Biology, or related discipline preferred
Experience with machine learning, image processing, or computer vision systems preferred
Background in aquaculture, fisheries, or environmental data analysis preferred
Experience building or maintaining high-performance computing systems or clusters preferred