Postdoctoral Associate - CIMAS

University of Miami • Miami, FL

9d • Onsite

About The Position

The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) of the University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science invites applications for a full-time Postdoctoral associate position in NOAA’s Southeast Fisheries Science Center (SEFSC). The incumbent will support NOAA’s Gulf of Mexico Integrated Ecosystem Assessment (IEA) Program at SEFSC, specifically by assisting with ecosystem-based fishery management in the Gulf of America, South Atlantic, and Caribbean regions.

Requirements

• Ph.D. in physical or biological oceanography, marine ecology, marine biology, population dynamics, fisheries, statistics, or a related field.
• Experience with statistical analyses and expertise in oceanography, marine ecosystem ecology and population dynamics.
• Demonstrated experience in programming languages such as R, Perl, Python, MATLAB.
• Previous experience working with large and diverse data sets.
• Demonstrated verbal and written communication skills.
• The ability and desire to work as part of a collaborative team but also the ability to work independently to complete complex interdisciplinary ecosystem analyses
• Experience with git/GitHub version control or willingness to learn

Responsibilities

• Interpret and statistically analyze complex data sets.
• Test and develop hypotheses related to ecosystem processes throughout the US Southeast (Gulf of America, South Atlantic, and/or Caribbean).
• Conduct simulations or modeling to evaluate the potential impacts of environmental change on fisheries and fishery ecosystems.
• Build or update tools to assist U.S. fishery managers in decision making, such as ecosystem status reports.
• Implement organized, transparent and repeatable workflows using Github version control and collaborative coding / project development
• Present findings at scientific meetings and publish the results in scientific journals

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree