Ocean Networks Canada (ONC) is a world-leading organization supporting ocean discovery and
technological innovation. ONC is a not-for-profit society that operates and manages innovative cabled
observatories on behalf of the University of Victoria that supply continuous power and Internet
connectivity to various scientific instruments located in coastal, deep-ocean, and Arctic environments.
ONC’s cable arrays host hundreds of sensors distributed in, on and above the seabed along with mobile
and land based assets strategically located, instruments that address key scientific and policy issues
(subsea earthquakes and tsunamis, ocean acidification, marine biodiversity, etc.) within a wide range of
environments.
The Scientific Data Specialist is responsible for the development of sophisticated data products, including
verification and quality assessment of real-time and archived data. These data products enable scientific
and non-scientific users to understand, interpret and analyze information collected via the instruments on
the network operated by ONC.
Qualifications and Experience
The Scientific Data Specialist will have a Master’s degree in Earth and Ocean Sciences or related field
and 2-3 years of experience working with data from oceanographic instruments, or the equivalent
combination of education and experience. Essential qualifications include excellent problem solving and
interpersonal skills as well as a strong quantitative and technical background in relevant fields.
The following knowledge and experience is required:
 experience developing data products using computational and data analysis/visualization
packages such as Matlab, R, IDL and Mathematica or their public domain equivalents
 experience with time series and spatial analysis
 excellent skills in quantitative data validation
 knowledge of scientific data formats/standards such as netCDF, HDF, SensorML or other XMLbased
formats used in Earth and Ocean Sciences
 proven ability to take projects from conception to completion
 experience with relational databases, modelling and simulation, and using query tools such as
SQL
The following characteristics would be considered an asset:
 practical experience in R, C/C++ or Java, XML or HTML and scripting languages
 some experience with handling or maintaining oceanographic instruments
For a full job description and to apply for this position: Please submit your CV and cover letter
outlining your qualifications to: https://uvic.mua.hrdepartment.com/hr/ats/Posting/view/4062 . The deadline for applications is August 19, 2018.