Postdoctoral Associate - CIMAS

Posted 10 Days Ago
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Miami, FL, USA
In-Office
Entry level
Other
The Role
Support NOAA's Gulf of Mexico IEA Program by analyzing complex datasets, testing ecosystem hypotheses, running simulations/models of environmental impacts on fisheries, building tools (e.g., ecosystem status reports) for managers, implementing reproducible GitHub workflows, and presenting/publishing scientific results.
Summary Generated by Built In

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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.

DEPARTMENT SPECIFIC FUNCTIONS

The successful candidate will:

  • 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

MINIMUM QUALIFICATIONS

  • The successful applicant must have a 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

The University of Miami is recognized as one of the nation’s premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

Job Status:

Full time

Employee Type:

Staff

Skills Required

  • Ph.D. in physical or biological oceanography, marine ecology, marine biology, population dynamics, fisheries, statistics, or 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
  • Ability to work collaboratively and independently to complete interdisciplinary ecosystem analyses
  • Experience with git/GitHub version control or willingness to learn
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17,000 Employees

What We Do

The University of Miami is a leading research university dedicated to transforming lives through education, research, innovation, and service.

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