Operational Support
Research Associate (Machine Learning) (CS7)
Education
Annapolis Valley Campus
Middleton, Nova Scotia
Department of Applied Research
Term Full-Time Position:Commencing approximately November 4, 2024 and ending approximately September 27, 2025
Application deadline is 11:59PM, October 17, 2024
Competition No. 2425-262 (b)
Salary range: $50,214.43 to $61,567.17 annually
Reporting to a Research Scientist, you will:
- You will provide technical assistance for projects led by the Research Scientists. This involves assisting with day-to-day operations of a project to meet the research objectives and commitments with collaborating partners and funding agencies.
- On a daily basis, you may be working on one or more research projects. This position may conduct fieldwork in support of data acquisition missions which may require both indoor and outside working environments.
- Innovative and committed to life-long learning, you are a creative self-starter with a commitment to research excellence.
Qualifications and Occupational Experience:
- The minimum educational qualification for this position is a diploma, advanced diploma, or degree specializing in geomatics.
- You have a minimum of two years (full time equivalent) of recent and related occupational experience in a research environment which includes fieldwork.
- You have practical experience with GIS software including Arc GIS Pro as well as programming in Python. You have experience with machine learning algorithms for processing raster and point cloud data.
- You have experience with processing topographic lidar and topo-bathymetric lidar datasets
- Experience managing projects and outside clients, conducting fieldwork and analysis in the office and report writing.
- You are familiar with and comfortable using computer applications such as the Microsoft Office Suite (including Word and Excel) and e-mail.
- You are comfortable working in a digital environment; you take responsibility for acquiring knowledge about advancing technology; and you are committed to using technology in advancing your work.
- You have strong communication skills for generating technical reports and peer reviewed publications.
Relevant Skills and Knowledge:
- You demonstrate a commitment to equity, diversity, inclusion, accessibility, and anti-racism.
- You possess excellent interpersonal skills and are able to interact at all levels of an organization.
- You are known for your superior customer service skills and are able to create a relationship of trust beyond the immediate interaction.
- Your superb team working skills enable you to contribute positively to a team environment.
- You have specific technical occupational knowledge and skill in collecting and processing lidar data from a number of platforms such as: tripod, mobile, drone and aircraft mounted sensors. You have the ability to write python code and automate processing routines.
- You are known for your problem solving and critical thinking skills.
- You are a strong communicator.
- Demonstrated analytical skills, problem solving techniques and the ability to look beyond symptoms to gather facts and information.
- You possess excellent coordination skills specifically related to geomatics projects.
- You have proven records and information management skills and abilities specifically related to data and project management.
Candidates selected for interviews will be expected to provide at least three recent, occupational references. The successful candidate will be expected to provide official transcripts to show proof of academic achievements.
NSCC is committed to the full inclusion of all applicants. As part of this commitment, NSCC will ensure that applicants are provided reasonable accommodations, as required. If accommodation is needed to participate in the job application process, please contact Jaclynn Kelly at [email protected] . Our Employee Workplace Accommodation Policy can be found here.
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