Northeastern University

Boston, MA

ID: 7075074
Posted: February 12, 2021
Application Deadline: Open Until Filled

Job Description

About Northeastern:

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:

The Kostas Research Institute (KRI), on Northeastern University’s Innovation Campus in Burlington, MA (ICBM), focuses on research and applications to national security challenges. Our diverse geospatial AI initiatives and prototype development have a current focus on force readiness and force protection to drive geospatial data to decisions and action. We are seeking a talented and motivated Geospatial Data Scientist /Engineer to join our growing team and collaborate with a cross-disciplinary team of engineers, PhDs, and Professors, as well as work independently. As a member of our technical staff, you’ll be working in our private cloud and/or Azure to ingest a wide variety of data, run advanced machine learning algorithms, and apply data science principles to understand the digital world by building computer-vision-backed APIs on top of data.


Develop, adapt, and extend KRI’s CV and ML/AI technology
Develop new CV and ML models for 2- and 3-D satellite, CubeSat and aerial data sources
Improve existing CV models for higher precision and recall metrics, with keen interest in statistical behavior of data and algorithms
Deploy models in our private cloud through collaboration with extended team.
Iterate algorithms to continuously improve performance under a variety of conditions
Participate in small and tactical development teams using agile development principles, sprint planning, and standups etc.
Participate in customer meetings to present and discuss technical plans and milestones


BS or MS degree, or equivalent experience in a quantitative field (physics, mathematics, computer science, operations research, etc.)
US Citizen required with active security clearance or clearance eligible
1-5 years research experience
Ability to communicate complex data science concepts and results in an understandable manner
Demonstrable examples working with image data and noisy datasets that may have sparsity in some dimension (e.g., spatially, temporally)
Excellent coding skills (especially python with a solid familiarity with NumPy, SciPy, pandas)
Experience with git, GitHub, Docker, and Unix/Linux
Demonstrable example(s) of designed and trained CV models
Dedication to continuous integration and testing
Experience with LiDAR a plus
Excellent communication skills


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