The board
- Hours
- Full time
- Where
- University of Arkansas at Pine Bluff
- Posted
- Sep 2
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What you'd do
- Manage and maintain network systems, servers, and computer workstations across UAPB, Lonoke, and Eudora facilities
- Ensure seamless connectivity between research laboratories, sensors, and field monitoring stations
- Troubleshoot software, hardware, and networking issues to maintain system reliability
- Coordinate data flow between field stations and the main research hub for real-time monitoring and analysis
- Collaborate with faculty and research teams to design and deploy AI-based monitoring systems for shrimp and fish culture
- Develop machine learning models for automated detection of feeding behavior, growth metrics (size, length, weight), and health indicators using imaging and sensor data
- Support AI-assisted environmental monitoring and predictive modeling for aquaculture systems
- Manage large datasets and assist in developing cloud and local data storage frameworks
- Lead the assembly, configuration, and maintenance of a high-performance computing (HPC) system or supercomputer for AI research applications
- Optimize computational workflows for data-intensive aquaculture projects
What they want
- Strong problem-solving, analytical, and troubleshooting abilities
- Ability to manage IT systems across multiple research facilities
- Excellent communication and teamwork skills
- Proficiency in managing large datasets and computational workflows
- Commitment to innovation in applying AI to aquaculture systems
- BS or MS in Information Technology, Computer Science, Artificial Intelligence, Data Science, or related field
- Proven experience with networking systems, computer maintenance, and IT troubleshooting
- Knowledge of Python, R, MATLAB, or other programming languages used in AI research
- Familiarity with Linux environments and server management
- Starts
- 2026-06-29