Research Associate

Researchers

No

Regular

No

University of Arkansas at Pine Bluff

Location: UAPB Fish Station and Research Facilities (Pine Bluff, Lonoke, and Eudora)
Reports To: Director, Center of Excellence, Dept. of Aquaculture and Fisheries
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Position Overview
The Research Associate will oversee computer networking, data connectivity, and system performance across UAPB's aquaculture research facilities located in Pine Bluff, Lonoke, and Eudora. This position combines advanced IT management with artificial intelligence applications in aquaculture research.
The specialist will play a key role in building and maintaining computing infrastructure, including a high-performance supercomputer, and developing AI-driven monitoring systems for aquatic species. The successful candidate will support ongoing AI-based projects focused on analyzing shrimp and fish feeding behavior, growth metrics (length, weight), health assessment, and environmental conditions, contributing directly to precision aquaculture initiatives.
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Key Responsibilities
IT Infrastructure and Networking
• 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
AI Research and Development
• 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
High-Performance Computing
• 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
• Ensure integration of computing resources across all UAPB aquaculture facilities for collaborative AI research
Facility and Research Support
• Maintain IT connectivity and digital infrastructure for research stations at Lonoke, Eudora, and UAPB
• Provide technical support for smart sensors, monitoring cameras, and laboratory equipment
• Assist researchers and students with data access, backup, and computational analysis
• Support workshops, training, and outreach programs related to AI and aquaculture technology
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Skills and Competencies
• 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

$55,000 - $63,541

The University of Arkansas at Pine Bluff may conduct pre-employment background checks on certain positions for applicants being considered for employment.  The background checks may include a criminal background check and a sex offender registry check.  Required checks are identified in the position listing.  A criminal background check or arrest pending adjudication information alone shall not disqualify an applicant in the absences of a relationship to the requirements of the position.  Background check information will be used in a consistent, non-discriminatory manner consistent with the state and federal law. 

The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment.

All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Letters of Recommendation, List of three Professional References (name, email, business title), Resume, Unofficial/Official Transcript(s)

Sharron Williams

All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS  

Please do not send to listed recruitment contact.