Lecturer in Geomatics Engineering / Surveying and Geospatial Sciences

About this position

Position Summary The Lyles School of Civil and Construction Engineering seeks a highly qualified and motivated Lecturer to support undergraduate education in Geomatics, Surveying, Geographic Information Systems (GIS), Remote Sensing, and Geospatial Engineering . The successful candidate will primarily teach undergraduate courses in geomatics and related areas, with an emphasis on integrating theory, computation, instrumentation, and hands-on laboratory experiences. The Lecturer will contribute to instruction in courses focused on surveying principles, geospatial data acquisition and analysis, photogrammetry, laser scanning, GIS, GPS/GNSS, and engineering measurements , while fostering student engagement and practical problem-solving skills. Essential Responsibilities The successful candidate will be expected to: Teach undergraduate courses in Geomatics Engineering , including topics such as: Principles of surveying and engineering measurements Horizontal and vertical control systems Differential leveling, traverse computations, and survey adjustment GPS/GNSS data collection and geodesy Topographic mapping and construction layout Horizontal and vertical curve computation Error analysis, uncertainty propagation, and observational adjustment Geographic Information Systems (GIS), including map projections, spatial analysis, geospatial data models, and GIS software applications Remote sensing fundamentals, including photogrammetry, georeferencing, laser scanning (LiDAR), and 3D geospatial data collection Geospatial data processing and visualization using contemporary software tools. Develop and deliver engaging lectures, laboratory exercises, assignments, and assessments that support student learning outcomes. Coordinate and supervise laboratory instruction involving: Surveying instrumentation (e.g., total stations, levels, GNSS/GPS receivers) GIS software (e.g., ArcGIS or equivalent) Photogrammetric and laser scanning systems Data processing and engineering computation

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