Position Function:
Onsite leadership of a distributed team developing innovative intelligent fisheries monitoring systems. Lead machine learning algorithm advancement and development for real-time systems for automated fish detection and species identification.
Employees hired into Intermittent positions are limited to working no more than 720 hours per fiscal year.
Salary Grade:
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.
Department Profile:
The Northern Gulf Institute (NGI) is a National Oceanic and Atmospheric Administration (NOAA) Cooperative Institute comprised of six academic institutions that are geographically distributed across the U.S. Gulf Coast states. The six NGI member institutions are Mississippi State University (lead), the University of Southern Mississippi, Florida State University, Louisiana State University, the University of Alabama in Huntsville, and the Dauphin Island Sea Laboratory. Together with NOAA and in support of their strategic plan, NGI conducts research on interconnections among Gulf of Mexico environments, habitats, resources, and people and engages in outreach to help others learn about and make decisions based on these interconnections.
Essential Duties and Responsibilities:
• Develop automated techniques (using machine learning techniques) to analyze video collections of fish to determine tracks (thus number of fish) and species.
• 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.
• Disseminate results in archival literature via journals and conferences.
• Disseminate results via oral presentations at conferences and local meetings.
• Other duties as assigned.
The work location will be the main campus of Mississippi State University adjacent to Starkville, MS. Some extended travel, especially to NOAA/NMFS SEFSC labs in Pascagoula, MS and/or Galveston, TX, is likely.
Minimum Qualifications:
Research Scientist I - Ph.D. Generally within three years after receiving their
Ph.D. and with limited scientific research experience
Research Scientist II - Ph.D. Three to seven years of relevant experience beyond
the Ph.D. level and with very significant professional accomplishments
Research Scientist III - Ph.D. More than seven years of relevant experience
beyond the Ph.D. and with extremely significant professional accomplishments
Senior Research Scientist - Ph.D. Individuals well beyond the Ph.D. that have
demonstrated outstanding sustained, and extraordinary professional accomplishments as well as professional leadership
Preferred Qualifications:
• Appointment to this position requires an earned doctorate in computer engineering, computer science, electrical engineering, or a closely related field.
• At 2 years post-doctoral experience in development and deployment of machine learning algorithms for fish movement / detection or similar application areas.
• In-depth knowledge of image-based machine learning methods.
• Good working ability with C++ and GitHub.
• In-depth knowledge of high-performance computing systems.
• Understanding of fish physical characteristics.
Knowledge, Skills, and Abilities:
• An earned doctorate in computer engineering, computer science, electrical engineering, or a closely related field.
• At 2 years post-doctoral experience in development and deployment of machine learning algorithms for fish movement / detection or similar application areas.
• In-depth knowledge of image-based machine learning methods.
• Good working ability with C++ and GitHub.
Working Conditions and Physical Effort
Occasional and/or light lifting required. Limited exposure to elements such as heat, cold, noise, dust, dirt, chemicals, etc., but none to the point of being disagreeable. May involve minor safety hazards where likely result would be cuts, bruises, etc.
Routine deadlines, usually sufficient lead time; variance in work volume predictable; priorities can be anticipated; some interruptions are present; involves occasional exposure to demands and pressure from persons other than immediate supervisor.
Job frequently requires standing, walking, climbing or balancing, stooping/kneeling/crouching/crawling and lifting up to 50 pounds.
Vision requirements: Ability to see information in print and/or electronically, ability to distinguish colors
Instructions for Applying:
Link to apply: http://explore.msujobs.msstate.edu/
Apply online by submitting a cover letter, resume, and a copy of your transcript(s). Any social security numbers included on requested transcripts should be redacted prior to submitting online.
We will accept applications only from persons with indefinite employment authorization in the U.S., and will not sponsor for nonimmigrant or immigrant status for this position.
Restricted Clause:
Position is contingent upon continued availability of funding.
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.
What do I do if I need an accommodation?
In compliance with the ADA Amendments Act (ADA), if you have a disability and would like to request an accommodation in order to apply for a position with Mississippi State University, please contact the Department of Human Resources Management at tel: (662) 325-3713 or ada@hrm.msstate.edu.
If you have any questions regarding this policy, contact the Department of Human Resources Management at (662) 325-3713 or ada@hrm.msstate.edu. Upon request, sections of this job listing are available in large print, and readers are available to assist the visually impaired.
