Part of a distributed team developing innovative intelligent fisheries monitoring systems. Assist with machine learning algorithm advancement and development for real-time systems for automated catch event detection, length measurement, and species identification. Lead system(s) functionality and hardware design of several intelligent fisheries monitoring systems (IMS) systems by building on previous NOAA Fisheries advancements of both non-camera and camera-based systems, methods, and tools.
Salary Grade: 15
Please see Staff Compensation Structure or Skilled Crafts and Service Maintenance Compensation Schedule for salary ranges. For salary grade UC, these positions are "Unclassified" and salary ranges are determined by the hiring department.
Essential Duties and Responsibilities:
• In collaboration with others, review (NOAA provided) the hardware and software image collection system currently used for remote port sampling.
• In collaboration with others, develop version 1.0 of a rugged toolkit (suitcase) for capturing individual fishing quota (IFQ) species, and other bycatch images using cameras in a high quality, reliable and scientific manner to augment the training of evolving AI/ML systems.
• Provide engineering specifications and contract building of toolkit for field testing.
• In collaboration with others, compile, write, and publish technical engineering documentation to guide future Electronic Monitoring (EM) providers and researchers for development and deployment of future monitoring systems that integrate real time automation, including an operation manual for the open source operating system (OS).
• After reviewing the NOAA provided hardware and software eLog device currently used for remote effort estimation in the Gulf of Mexico shrimp fishery, develop advanced sensing unit incorporating advanced sensors such as accelerometers to automatically determine haul activity. Develop several units for future field testing.
• In collaboration with others, review NOAA provided hardware and software system to improve optical and hardware performance
• In collaboration with others, test new advanced polarizing, infrared, other camera properties integrated with system.
• In collaboration with others, test alternative hardware configurations to improve parallel processing capabilities.
• Assist with dissemination of results in archival literature via journals and conferences.
• Assist with dissemination of results via oral presentations at conferences and local meetings.
• Other duties as assigned.
• Appointment to this position requires a degree in computer engineering, computer science, electrical engineering, or a closely related field.
• In-depth knowledge of computing systems
• Good working ability with C++ and GitHub
1. Beginning with a Bachelors degree: A professional (support/service) employee with a bachelors can begin work at Associate I; To begin at Associate II, one must meet the above requirements, have a minimum of 3 years of relevant experience and the equivalent to a masters degree; To begin at Associate III, one must meet the above requirements, have a minimum of 6 years of relevant experience and the equivalent to a masters degree.
2. Beginning with a Masters degree: A professional (support/service) employee with a masters degree and a minimum of 1 year of relevant experience and demonstrated competency can begin work at Associate II; To begin at Associate III, one must have a masters degree and a minimum of 3 years of experience; To begin at Senior Associate, one must have a masters degree and a minimum of 6 years of experience.
3. Beginning with a Doctoral degree: A professional (support/service) employee with a doctorate degree with 2 years of relevant experience and demonstrated competence can begin work at Associate III; To begin at the Senior Associate, one must have a doctorate degree and a minimum of 3 years of relevant experience.
• Experience in real-time computing systems
• Understanding of fish physical characteristics
Working Conditions and Physical Effort
The work location will either be Stennis Space Center, MS or Pascagoula, MS.
Instructions for Applying:
Please apply online by submitting a resume and cover letter online.
Position is contingent upon funding availability.
Equal Employment Opportunity Statement:
MSU is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, religion, national origin, disability, age, sexual orientation, genetic information, pregnancy, gender identity, status as a U.S. veteran, and/or any other status protected by applicable law. We always welcome nominations and applications from women, members of any minority group, and others who share our passion for building a diverse community that reflects the diversity in our student population.