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Manager, New Program Development, San Francisco in San Francisco, CA Campus - Eligible for Alternative Work Location
Northeastern University’s San Francisco Campus seeks a motivated and adaptable individual to serve as Manager of New Program Development. Reporting to the Dean and Regional CEO, this position will direct and support the development and implementation of new, innovative degree and non-degree offerings to both existing and new learner communities at Northeastern. This role will work closely with multiple University offices to drive success across all aspects of program development, launch and execution.
Academic Advisor and Program Manager in San Jose, CA Campus - Eligible for Alternative Work Location
The College of Engineering is seeking an Academic Advisor to join its expanding Student Services team in our west coast satellite campuses.
Open Rank Clinical Professor in various locations
The Bouvé College of Health Sciences and The Roux Institute at Northeastern University seek candidates for a 12-month clinical open- rank, non-tenure track position in the area of rural health care delivery and clinical health care programs!
Department Operations Coordinator in Boston Main Campus
The Department Operations Coordinator is a key administrator in an academic department, working under the direction of the Business & Operations Manager. The Operations Coordinator initiates, tracks, and manages a broad range of financial and human resource transactions to ensure that department needs are being met in a timely and efficient manner.
Research Engineer III, Machine Learning & AI in various locations
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 looking for a deep learning engineer to help lead new initiative and build cutting-edge systems for terrain analytics. Candidate must be well versed in all aspects of deep learning and be willing to research, design, implement, and deploy deep learning models that advance the state of the art. Familiarity with CubeSat, satellite, and LiDAR data advantageous. New models and algorithms must be adapted to our setting while working alongside other engineers to integrate neural networks for optimization. Candidate should be self-motivated, able to cut through ambiguity, be able to create timelines for implementation, delegate well-framed tasks to junior engineers, and have superior writing skills to communicate out. We are looking for engineers who want to make an impact, who are detail-oriented and methodical, and can evaluate pros and cons of different approaches, while executing to contract. For superior candidates, we may consider options for remote work. Proximity to our satellite campus locations is preferred (Burlington MA, Seattle WA, and Arlington, VA).
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