Senior Research Associate I

University of MiamiMiami, FL
13dOnsite

About The Position

The Cooperative Institute for Marine and Atmospheric Studies (CIMAS) at the University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science has an exicitng full time opportunity for a Sr. Research Associate I. The position is situated at the NOAA Southeast Fisheries Science Center (SEFSC) Marine Mammal and Turtle Division located in Miami, FL. The research includes conducting passive acoustic studies of the distribution, occurrence, movements, and density of marine mammals and anthropogenic noise sources in waters of the Gulf of Mexico, the North Atlantic, and the Caribbean. This research will improve our understanding of marine mammal ecology and evaluation of restoration projects to address the injury to marine mammal populations that occurred from the Deepwater Horizon oil spill. Research will involve close collaboration with scientists from the NOAA Fisheries Southeast Fisheries Science Center (SEFSC) and with scientists at institutions including Scripps Institution of Oceanography, Universidad Veracruzana, and Universidad Nacional Autonoma de Mexico. The incumbent will utilize a solid foundation in acoustic analysis techniques to support core missions of the SEFSC Marine Mammal Branch. Beneficial experience can include work in noise estimation, acoustic filtering, and AIS vessel data processing. Experience developing and evaluating automated bioacoustic signal detectors and classifiers and working with large multi-year acoustic and AIS datasets is preferred. Programming experience is essential; experience programming in Matlab and R is preferred. The project will include project management and analytical work for passive acoustic data collected from research surveys focused on marine mammal ecology. Analytical work will include detecting and classifying marine mammal calls and noise signals in acoustic recordings, characterizing seasonal variability in occurrence and distribution of marine mammals and noise sources, and associating AIS-based vessel traffic data with acoustic recordings, and technical writing to disseminate project results. Project management will include handling fieldwork and meeting logistics, leading workshops and webinars, communicating with project team members and stakeholders, and writing reports. The project may involve both analytical and fieldwork. The working location will be at the SEFSC laboratory in Miami, FL.

Requirements

  • Required education is an MSc degree in marine mammalogy, bioacoustics, ocean sciences, or related field and 3 years of relevant experience.
  • Requirements also include bioacoustics experience including detecting and classifying bioacoustics and noise signals in passive acoustic data, statistical analyses of spatiotemporal occurrence of sound sources, generating reports/manuscripts, and working with large, multi-year passive acoustic and AIS vessel traffic datasets.
  • Ability to assist with planning of fieldwork, meetings, and workshops, and willingness to participate in fieldwork at sea.
  • Basic programming experience is required; experience working with Triton, Ishmael, PAMGuard, and/or RavenPro, and programming in R, Python, and/or MATLAB is preferred.
  • The candidate must be capable of writing peer-reviewed manuscripts.
  • Excellent problem solving and critical thinking skills are required, as is the ability to work independently as well as with other employees and collaborating agencies.
  • Good organizational skills, ability to plan daily duties, and clear oral and written communication are required.

Nice To Haves

  • Candidates with experience in automatic detection performance evaluation, acoustic localization and tracking of cetaceans, acoustic density estimation, calculating species detection range, sound propagation modeling, and/or ambient noise analysis and statistics are preferred.
  • Basic programming experience is required; experience working with Triton, Ishmael, PAMGuard, and/or RavenPro, and programming in R, Python, and/or MATLAB is preferred.

Responsibilities

  • Develop, implement and evaluate manual and automated methods to detect and classify biological and anthropogenic sound sources in long-term acoustic monitoring recordings, including identifying calls of acoustically known and unknown marine mammal species.
  • Evaluate detector performance, including false alarm and missed call rates
  • Characterize and compare spatiotemporal occurrence and variability in marine mammal call detections and anthropogenic and natural noise sources
  • Perform soundscape characterization analyses, including evaluating ambient noise as the statistical distributions of sound pressure spectrum levels and identifying the main physical, biological, and anthropogenic components of the soundscape to better understand the noise contribution from sources such as shipping and seismic surveys
  • Manage and analyze AIS vessel traffic data and associate it with acoustic recordings to improve understanding of shipping and seismic survey noise sources
  • Manage and analyze large datasets efficiently, including QA/QC and archiving raw data and analytical results from passive acoustic moorings
  • Perform project management including handling field work logistics, leading workshops and webinars, communicating with project team members and stakeholders, and writing reports
  • Use various software applications to assemble, manipulate, and format data and write reports, including customizing analyses using basic programming skills
  • Write reports and present findings in scientific settings including in peer-reviewed publications
  • Execute multiple projects, provide frequent status reports, and identify and communicate challenges to project success to ensure project goals and deadlines are achieved
  • Work in a team collaborating and communicating regularly with other SEFSC and CIMAS staff
  • May participate in multiday fieldwork for acoustic data collection and oceanographic instrument deployment.
  • Provide additional ad hoc program duties as assigned
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