BCC GEOSPATIAL CENTER CUNY CREST INSTITUTE

One Research Associate: We are seeking a diligent and detail-oriented candidate [currently enrolled in a Masters/Graduate degree program in data science or AI-engineering] to work on existing and or developing new foundation-AI models using CNNs [ensemble learning methods and multi-modal approaches] for performing image scene classifications, object detection and feature extraction. The candidate will work on full data life cycle projects focused on real-world issues and use multi-spectrum [Earth Observation] and multi-source datasets. The task involves computation tasks, heavy meticulous daily documentation/technical writing. The candidate must have elevated levels of proficiency in analyses, programming, neural networks, reporting, and passion for working with satellite datasets. This is an on-site part time role [15hrs. week] Two College (Research) Assistants: The job requires assisting the Director on various geospatial-AI projects for performing analytical tasks [Machine Learning, Deep Learning, and Multi-modal approaches by using Ensemble Learning methods] and submitting detailed technical reports and deliverables in a timely manner to assign cloud storage. The role also includes administrative and other tasks [administrative] that may be assigned by the Director. We will consider current undergraduates who are enrolled in related courses/majors [Data Science, and AI]. This is an on-site part time role [20hrs. week] Where: BGCCCI, Office of Academic Affairs, 330 Meister Hall, Bronx Community College, 2155, University Avenue, Bronx, New York-10453). Start Date: 6/1/2025 Other Criteria · Must have valid U.S. work visa to be eligible to apply. · Elevated level of skills in project task interpretation and skill sets · Capable of working independently or with minimal guidance and demonstrate elevated levels of engagement and proactiveness · Be result oriented · Be able to write detailed and accurate documentation that can be read by both technical and non-technical readers. · Possess an elevated level of passion for research, and possess qualities such as honesty, integrity, and diligence.

Position Description: The Columbia Center for Computational Electrochemistry (CCCE) is seeking an Associate Research Scientist (ARS) with expertise in surface science, electrochemistry, first-principles electronic structure methods, and machine learning. The successful candidate will contribute to the development of computational models that describe interfacial reactions in electrochemical systems. Reactions at electrode–electrolyte interfaces and the resulting formation of solid-electrolyte interphases significantly affect battery performance, yet remain poorly understood. CCCE aims to establish quantitative, yet computationally efficient models to provide atomic-scale insights into these processes. The Center is located on Columbia’s Morningside Campus and is part of a vibrant, multidisciplinary research environment that offers excellent opportunities for career development. Qualifications: Applicants must hold a PhD in chemistry, chemical engineering, materials science, or a related field. Extensive experience in electronic density-functional theory, computational surface science, and the development of machine-learning models is required. A strong background in electrochemistry, particularly related to lithium batteries, is highly desirable.