Research Computer Engineer – Oceanography

University of Southern Mississippi

United States

October 10, 2021

Description

Research Computer Engineer – Oceanography

The University of Southern Mississippi is currently accepting applications for the position of Research Computer Engineer – Oceanography.

Position Details

Location John C. Stennis Space Center

1020 Balch Blvd Stennis Space Center, Mississippi, 39529 United States Division Marine Science Position Type Staff Employment Status Full Time Grant Funded Yes Posting Close Date 5 days after posted

Job Summary Work closely with U.S. Naval Research Laboratory to conduct basic and applied research to advance the development of data science and machine learning code applied to computer vision, optical measurements, and unmanned for enhanced understanding of riverine and coastal environments to solve relevant Navy problems.

Primary Duties and Responsibilities

  • Refine and refactor existing software programs and algorithms to increase efficiency to acquire and process data in situ.
  • Work in conjunction with a team of researchers to develop new algorithms for analysis of riverine and coastal flows.
  • Work on multi-institutional research in data science and machine learning
  • Performs other duties as assigned.
  • Minimum Qualifications

    Bachelor's in computer or Software Engineering from an accredited college or university and 2-4 years of experience in a research setting or 6-8 years of equivalent combination of education, training, experience or internships in a research setting.

    Knowledge, Skills & Abilities

  • Knowledge of machine learning techniques (e.g., Clustering, Neural Nets and Deep Learning) applied to littoral environments
  • Skills in programming and data analysis using languages such as Python and C++ to support the algorithm development, data processing and visualization, and interface implementation.
  • Skills in adapting theory and algorithms across multiple operating system environments (e.g., MS Windows and Linux)
  • Knowledge with webpage design (HTML and CSS) along with database development (PostgreSQL), data processing interfaces using Flask, and automated report generation
  • Ability to communicate through written reports, published research results, and oral presentations.
  • Preferred Qualifications

    Demonstrated experience with Google Tensorflow and Keras machine learning library for ocean science applications.

    About The University of Southern Mississippi The University of Southern Mississippi (USM) is a comprehensive public research institution delivering transformative programs on campuses in Hattiesburg and Long Beach, at teaching and research sites across the Mississippi Gulf Coast, as well as online. Founded in 1910, USM is one of only 131 universities in the nation to earn the Carnegie Classification of Institutions of Higher Education's "R1: Doctoral Universities - Very high research activity" designation, and its robust research enterprise includes experts in ocean science and engineering, polymer science and engineering, and large event venue safety and security, among others. USM is also one of only 37 institutions in the nation accredited in theatre, art and design, dance and music. As an economic driver, USM generates an annual economic impact of more than $600 million across the state. USM welcomes a diverse student body of more than 14,000, representing 71 countries, all 50 states, and every county in Mississippi. USM students have collected four Truman Scholarships and 37 National Science Foundation Graduate Research Fellowships, while also leading Mississippi with 27 Goldwater Scholarships, an honor that recognizes the next generation of great research scientists. Home to the Golden Eagles, USM competes in 17 Division I sports sponsored by the National Collegiate Athletic Association (NCAA). For more information, visit www. usm.edu.

    As an Affirmative Action/Equal Employment Opportunity employer/Americans with Disabilities Act institution, The University of Southern Mississippi encourages minorities, women, veterans and persons with disabilities to apply.

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