**
The University of Arkansas at Pine Bluff is seeking a Research Associate to manage IT infrastructure and develop AI applications for aquaculture research. The ideal candidate will have a background in information technology, programming, and experience in aquaculture or environmental data analysis.
**
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.
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: 75
**
The University of Arkansas at Pine Bluff is seeking a Research Associate to manage IT infrastructure and develop AI applications for aquaculture research. The ideal candidate will have a background in information technology, programming, and experience in aquaculture or environmental data analysis.
**
Salary
$55,000 – $63,541
Skills & Requirements
Must-have
Manage IT systems across multiple facilities
AI-based monitoring systems for aquatic species
High-performance computing system maintenance
Troubleshoot software, hardware, and networking issues
Manage large datasets and computational workflows
Nice-to-have
Commitment to innovation in AI applications
Support workshops and outreach programs
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