Project Scientist

工作内推

competitive

截止日期2020-09-25

JASCO Applied Sciences

Brisbane

3年以上经验

本科以上

Full-time
Junior
Anonymous User

Anonymous

careers@jasco.com

工作内容

  • Working with advanced underwater acoustic modelling tools and in collaboration with experienced modellers, conduct acoustic propagation modelling of marine sound sources, including geophysical and pile driving operations and commercial shipping
  • Analyse underwater acoustic recordings to quantify ambient noise, anthropogenic sources and their contribution and the presence of marine fauna
  • Prepare reports and presentations on the findings
  • Depending upon the candidate, participate in field work to collect acoustic data at study locations worldwide, possibly in remote sites and/or at sea
  • Depending upon the candidate, work with acoustic monitoring equipment in the Brisbane warehouse, to mobilise, demobilise and maintain the equipment according to our procedures, which are certified under ISO 9001
  • Contribute to the writing of occasional journal articles

工作要求

  • A Bachelor’s degree in math, science, engineering, physics or computer science
  • Demonstrated significant experience in scientific programming and/or numerical modelling
  • Experience with coding in at least one data analysis rapid application development environment such as MATLAB 
  • Experience with coding in development languages, particularly Java and Python
  • Familiarity with principles of underwater acoustics and/or digital signal processing from at least one senior undergraduate course
  • Experience conducting statistical analysis or data visualisation using RStudio.
  • Experience using version control software

 

公司信息

公司介绍

JASCO Applied Sciences

JASCO Applied Sciences provides consulting and research services for assessing and mitigating underwater noise. Since its origin in 1981, JASCO has been developing and implementing acoustic technologies ranging from advanced acoustic recorder design to complex acoustic modelling algorithms to comprehensive field monitoring and data analysis.
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