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Visualization of Coastal Data Research Fellowship - Master's or Doctoral Degree

The U.S. Army Engineer Research and Development Center (ERDC)'s Coastal & Hydraulics Laboratory (CHL) performs research on ocean, estuarine, riverine, and watershed systems in support of the U.S. Army Corps of Engineers (USACE) and the Department of Defense (DOD) Task Force in support of the Ocean Commission. A multi-disciplinary team of scientists, engineers, and support personnel work in CHL's internationally known, unique facilities. This team has developed state-of-the-art experimental and computational models for solving water resource problems worldwide.

The Research Participation Program for CHL provides opportunities to participate in new and ongoing applied research and development projects. Research projects range from design guidance to three-dimensional computational models. Focus is placed on inland and coastal navigation, military logistics over the shore, dredging, flood control, storm and erosion protection, waterway restoration, fish passage, hydro-environmental modeling, water/land management, and other water and sediment-related issues facing the nation. For more information about CHL, please visit https://www.erdc.usace.army.mil/Locations/CHL/.

What will I be doing?

Under the guidance of a mentor, you will conduct applied research on the visualization of coastal imagery data across USACE districts. Low cost cameras (or other camera/imagery platforms) are used to collect data about coastal projects and established routines capture quantitative coastal metrics from these data. This research will focus on not only the delivery of the imagery, but also the quantitative metrics that have been identified from the imagery, which will work as part of a broader team. 

Similarly, the research will develop a complimentary data delivery and visualization mechanism for model results that are co-located and co-timed to the imagery. Similar to the imagery, you will not be responsible for generating the model results or processing routines, but focus specifically on the delivery of the data in a complimentary way to the imagery. This may involve a parallel or complimentary web presence. The research may involve developing/modifying existing automation routines for pushing data across a work flow and plotting or visualization techniques. You will contribute to assessing these research goals under the guidance of mentors at the U.S. Army Engineer Research and Development Center's Field Research Facility.  

Why should I apply?

This fellowship provides the opportunity to utilize your skills and learn from experts in coastal imagery, coastal numerical models, and data standards and visualization techniques. 

Where will I be located?

Duck, NC

What is the anticipated start date?

ERDC-CHL is ready to make an appointment immediately. Exact start date will be determined at the time of selection and in coordination with the selected candidates. 

What is the length of the appointment?

This ORISE appointment is a full-time, 12-month opportunity. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.

What are the benefits?

You will receive a stipend to be determined by ERDC-CHL. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:

  • Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE
  • Relocation Allowance
  • Training and Travel Allowance

Qualifications

You should have or soon receive a master's or doctoral degree in the earth sciences, oceanography, coastal engineering, civil engineering, or a related field of research.

U.S. citizenship is required.

You should have previously researched in one or more of the following areas:

  • Sediment transport , geomorphology, coastal processes, hydrodynamics

You should have skills in the following areas:

  • Scientific programming experience with Python, Matlab, R, and/or Julia
  • ArcGIS and supplementary tools
  • Excellent oral and written communication skills
  • Ability to research productively both independently and as part of a diverse team