Components of the online application are as follows:
Submitted documents must have all social security numbers, student identification numbers, and/or dates of birth removed (blanked out, blackened out, made illegible, etc.) prior to uploading into the application system.
If you have questions, send an email to usace@orise.orau.gov. Please list the reference code of this opportunity in the subject line of the email.
All documents must be in English or include an official English translation.
The U.S. Army Engineer Research and Development Center's Information Technology Laboratory (ITL), located in Austin, Texas, provides experimental and computational expertise for solving water resource problems worldwide. Our research and development addresses water resource challenges in groundwater, watersheds, rivers, reservoirs, lakes, estuaries, harbors, coastal inlets and wetlands. Research programs range from design guidance to numerical models.
The intern will participate in the design, development, and evaluation of numerical models designed to simulate subsurface and free-surface flows. The participant will gain experience with hydrologic and hydrodynamic models developed in the Coastal Hydraulics Laboratory and contribute to open-source projects.
Appointment Length
This ORISE appointment is for a 12 month period. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant.
Desired Start Date: 9/30/19
Participant Benefits
Participants will receive a stipend to be determined by ERDC-ITL. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following:
Nature of Appointment
The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.
The candidate should have a strong background in the mathematical and computational aspects of modeling subsurface and surface flows. Expertise in C, high performance computing, finite element methods and general algorithm design is preferred.
ORISE GO
The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from application, to offer, through your appointment and even as an ORISE alum!
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