Postdoctoral Fellow - Coastal, River-Coastal Science and Engineering /Meselhe

Location:
New Orleans, LA
Open Date:
Sep 7, 2018
Description:

The Department of River-Coastal Science and Engineering at Tulane University is seeking applicants for a Post Doctor appointment. We are specifically seeking outstanding applicants with a background in numerical modeling of riverine, estuarine and coastal wetland systems. Familiarity with Delft3D (or similar morphodynamic modeling packages) and mapping applications (e.g., GIS) are highly desirable. This position reports to Dr. Ehab Meselhe.

Roles and Responsibilities:

• Develop and apply models, perform data analysis and interpretation of hydrologic and hydraulic systems and simulation results;
• Write technical papers, present at meetings, workshops and technical conferences;
• Conduct various research tasks such as code development and customizations as needed;
• Participate in field data collection in support of research and modeling activities;
• Participate in writing proposals to generate external funding streams.

The successful candidate will be a self-motivated, results-driven professional with sound judgement, excellent interpersonal skills, and the flexibility to adjust to changing priorities in a demanding, fast-paced environment. The Department expects to offer a competitive salary and benefits commensurate with a candidate’s skill and experience. This is a full-time position.

Qualifications:

Required qualifications include:

• Ph.D. in Engineering, Geoscience, or related field is required.
• Experience in model development and applications either as part of the graduate research or prior professional experience.
• Familiarity with GIS.
• Department of River-Coastal Science and Engineering operates on multiple computational platforms, so candidates should have scripting and programming skills.

Desired qualifications include:

• Proficiency in using Delft3D (or Delft3D-FM): morphodynamic, DWAQ, etc. for coastal or riverine applications
• Familiarity with other widely used numerical modeling packages
• Coding experience in any language (e.g., Python, C, FORTRAn, etc.)
• Experience with data processing and statistical tools such as MATLAB, R. etc.