2627-045 - Research Associate (CS7) - Annapolis Valley Campus

Operational Support

Research Associate (CS7)

Annapolis Valley Campus

Middleton, Nova Scotia

Department of Applied Research

Term Full Time Position: Commencing June 29, 2026 and ending approximately August 31, 2026

Application deadline: 11:59PM, June 4, 2026

Competition No: 2627-044

Salary Range: $56,218.79 - $68,929.03 annually

• The minimum educational qualification for this position is an advanced diploma and/or a degree specializing in geomatics.
• A Civil Engineering degree with certificates in remote sensing and or GIS would be considered an asset.
• You have at least 2 year of professional research experience and practical field work experience.
• You have practical experience with Remote Sensing, GIS and Tree Segmentation from point cloud software including as well as programming in Python. You have experience with machine learning algorithms including TreeAIbox, Cloud Compare, and the suite of ArcPro machine learning models and external sources for processing raster and point cloud data.
• You have experience with processing topographic lidar and topo-bathymetric lidar datasets.
• You have a minimum of two years of recent and related occupational experience in a research environment which includes fieldwork.
• Occupational experience that includes 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, 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 good oral and written communication skills for generating technical reports and peer reviewed publications

Relevant Skills and Knowledge

• You demonstrate a commitment to diversity and inclusion
• 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: 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
• 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 David Meister, HR Generalist, at [email protected]. Our Employee Workplace Accommodation Policy can be found here.

Unfortunately, we cannot accept late or paper applications.