The Nereus Program is an interdisciplinary research program that works to advance scientific knowledge of future status of world’s oceans, marine fisheries and governance mechanisms through integrated and multi-scale approach. It is a partnership of sixteen international academic institutions in North America, Europe and Australia.
The position is expected to work closely with Global Fishing Watch (GFW), a partner of Nereus Program, to support research projects using the Automatic Identification System (AIS) data. Global Fishing Watch has a database of over 20 billion positions from hundreds of thousands of ocean going vessels between 2012 and today. GFW is using big data and machine learning techniques to identify vessels and where they are fishing. This positions will work closely with the data scientists at Global Fishing Watch and Nereus’ network of researchers.
This position reports to the PI
General tasks include querying data and utilizing AIS data to support collaborative projects between GFW and Nereus Program. Specific responsibilities will include:
– Assisting Nereus Program and GFW for analysing the AIS database operated by GFW;
– Linking external data sets with the GFW AIS database;
– Drafting methods and results sections for publication describing data trends, key observations, statistical summaries, models that best describe data;
– Acting as a liaison, for researchers within the Nereus Program, in accessing the GFW BigQuery AIS database;
– Maintaining the understanding, capabilities, analysis, and results of other Nereus Program network research databases;
The position has little day to day supervision, though the staff member will meet on a regular basis with the Researcher
Consequence of Error/Judgement
If errors were to occur it will negatively impact the program.
High School graduation. A Bachelor degree with majors/minors in computing science, mathematics or physics preferred Minimum of 2 years related experience or the equivalent combination of education and experience. Some experience with SQL relational data bases, modelling and statistical analysis of multivariate datasets.
Command Line Tools and Bash shell.
– Programming skills, familiarity with data analysis with either Python or R;
– Understanding of numerical modelling (Such as linear, generalized linear, nonlinear, and stochastic modelling of complex systems);
– Familiarity with Google Cloud Platform and Google BigQuery is a plus;
– Experience in an academic research environment;
– Writing peer reviewed research publications;
– Presenting research and findings to peers
UBC hires on the basis of merit and is strongly committed to equity and diversity within its community. We especially welcome applications from visible minority group members, women, Aboriginal persons, persons with disabilities, persons of minority sexual orientations and gender identities, and others with the skills and knowledge to productively engage with diverse communities. All qualified candidates are encouraged to apply; however Canadians and permanent residents will be given priority.
Job ID: 26332
Location: Vancouver – Point Grey Campus
Employment Group: Technicians & Research Assists
Job Category: Research/Technical – Non Union
Classification Title: Research Asst/Tech 2
Business Title: Research Asst/Tech 2
VP/Faculty: Faculty of Science
Department: Inst. for Oceans and Fisheries
Salary Range: $40,982.00 (minimum) – $44,909.00 (midpoint) – $48,838.00 (maximum)
Full/Part Time: Full-Time
Desired Start Date: 2017/07/04
Job End Date: 2019/07/03
Closing date: 2017/05/23
Apply here by submitting an application.