Lecturers – GIS & Remote Sensing
AI summary
RCMRD is recruiting part-time lecturers in Geographic Information Systems (GIS) and Remote Sensing to teach and mentor students in Nairobi. The role involves preparing learning materials, conducting practical training, assessing students, and supporting research. A relevant Master's degree or higher with teaching or industry experience is required.
- Part-time lecturing positions in GIS and Remote Sensing at RCMRD.
- Based in Nairobi with on-site work required.
- Requires a relevant Master's degree or higher with teaching or industry experience.
- Minimum two years of relevant professional experience in GIS, Remote Sensing, or related fields.
- Application deadline: 04/10/2026.
AI job guide
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AI salary guide
Source salary availableThe source lists Open. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in part_time, tempo_parcial, LecturerThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Part Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Lecturers – GIS & Remote Sensing evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Regional Centre for Mapping of Resources for Development and the role in Not specified.
- Add concrete examples related to part_time, tempo_parcial, Lecturer, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Corporate Staffing Kenya; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Plan to submit before the listed deadline: 2026-10-04.
Source and safety check
- Corporate Staffing Kenya
- Original source link available
- Application method is clear
- Deadline is available: 2026-10-04
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Lecturers – GIS & Remote Sensing role in part_time, tempo_parcial?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Regional Centre for Mapping of Resources for Development before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Job Title: Part-Time Lecturers – Geographic Information Systems (GIS) and Remote Sensing (RS)
Date Posted: 21/09/2026
Job Type: Part Time
Job Level: Middle
Employer: Regional Centre for Mapping of Resources for Development
Industry: Engineering
Salary: Open
Location: Nairobi
Country: Kenya
Deadline: 04/10/2026
Engineering Jobs, RCMRD Jobs. Responsible for teaching and mentoring students in geospatial and related programmes, preparing learning materials, conducting practical training, assessing students, supervising projects, supporting research activities, and contributing to curriculum development and academic programmes. Requires a relevant Master’s degree or higher in area of interest with relevant teaching or industry experience. The positions are based in Nairobi and require on-site work.
Qualifications
Applicants should hold at least a Bachelor’s Degree in Environmental Science, Environmental Management, Natural Resources Management, Geography, Ecology, Forestry, Disaster Management, Emergency Management, Geomatic Engineering, Geospatial Engineering, Surveying, Remote Sensing, Geographic Information Systems (GIS), Geoinformatics, Cartography, Computer Science, Information Technology, Statistics, Data Science, Mathematics, Artificial Intelligence, Geology, Hydrology, Public Health, Environmental Health, Epidemiology, Meteorology, Climate Science, Atmospheric Science, Geodesy, Civil Engineering, Transportation Engineering, or any other relevant field.
Professional
Experience
- Applicants should have a minimum of two (2) years of relevant professional and/or industryexperience in GIS, Remote Sensing, geospatial technologies, environmental management, disaster management, data science, engineering, or a related field.
- Professional
Qualifications and Skills
- In addition to the academic qualifications, applicants should possess relevant professional certifications and/or demonstrate competency in areas including:
- Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA)
- Environmental Auditing and Occupational Health and Safety (OHS)
- Climate Change Adaptation and Mitigation
- Disaster Risk Reduction (DRR) and Humanitarian Response
- Emergency Preparedness and Incident Command Systems (ICS)
- Early Warning Systems, Risk Assessment and Vulnerability Mapping
- UAV Mapping and Drone Operations
- Digital Photogrammetry and LiDAR Processing
- Satellite Image Analysis and Remote Sensing
- ArcGIS Pro, QGIS, Google Earth Engine and spatial analysis
- Geospatial Data Management and Earth Observation Applications
- Python, R, ArcPy and GeoPandas
- Spatial Statistics, Machine Learning, Deep Learning and GeoAI
- Computer Vision and Earth Observation Analytics
- TensorFlow and PyTorch
- Cloud Computing and Big Data Analytics
- PostgreSQL/PostGIS, SQL Server and Oracle Spatial
- Enterprise GIS, Web GIS and GeoServer
- Spatial Data Infrastructure (SDI) and Database Administration
- Natural Resource, Forestry, Biodiversity and Ecosystem Mapping
- Health GIS, Disease Surveillance and Spatial Epidemiology
- Climate Data Analysis, Weather Forecasting and Climate Modelling
- Geodesy, GNSS Applications and Atmospheric Monitoring
- BIM, Infrastructure GIS, Transportation Planning and Utility Mapping
- Surveying, Smart Cities and Asset Management Systems