$55,000 – $63,541 (depending on experience + educa...
On-site
Manage network systems and servers
Develop machine learning models
High-performance computing system management
The University of Arkansas at Pine Bluff is seeking a Research Associate to oversee IT infrastructure and AI applications in its aquaculture research facilities. The ideal candidate will have a background in information technology and experience with AI, machine learning, and aquaculture systems
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.
The role involves managing and maintaining network systems, servers, and computer workstations, as well as developing AI-driven monitoring systems for aquatic species.
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 its aquaculture research facilities. The ideal candidate will have a background in information technology and experience with AI, machine learning, and aquaculture systems.
Salary
$55,000 – $63,541 (depending on experience and education); Not specified; Not specified
Skills & Requirements
Must-have
Manage network systems and servers
Develop machine learning models
High-performance computing system management
Troubleshoot software and hardware issues
Manage large datasets and computational workflows
Nice-to-have
AI-driven monitoring systems
Precision aquaculture initiatives
Collaboration with faculty and research teams
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