5,746 Geospatial Analysis jobs in Kenya
Graduate Research Assistant - Remote Sensing & Geospatial Analysis
Posted 2 days ago
Job Viewed
Job Description
The ideal candidate will be currently pursuing or have recently completed a Master's or Ph.D. degree in Geography, Geomatics, Environmental Science, Computer Science, or a related field with a strong emphasis on geospatial technologies. Familiarity with GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ERDAS Imagine, ENVI) is required. Proficiency in programming languages such as Python or R, particularly for geospatial data analysis and automation, is highly desirable. A solid understanding of coordinate systems, map projections, and spatial statistics is essential. You should possess strong analytical and problem-solving skills, with the ability to interpret complex spatial data. Excellent written and verbal communication skills are necessary for documenting research findings and collaborating with team members virtually. This role requires a self-motivated individual who can work independently, manage time effectively, and adhere to project deadlines in a remote setting. Curiosity, a willingness to learn new techniques, and a passion for geospatial science are key attributes. Our client is committed to leveraging advanced technologies for societal benefit. This internship provides invaluable experience for a career in remote sensing and geographic information systems. The successful candidate will be working remotely to support research initiatives relevant to the region around Kericho, Kericho, KE .
Lead Remote Sensing Analyst - Agriculture
Posted today
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and execution of remote sensing analysis projects for agriculture.
- Develop and implement novel algorithms for crop classification, health monitoring, stress detection, and yield estimation using various geospatial data sources.
- Manage and process large volumes of satellite and aerial imagery data, ensuring data quality and integrity.
- Integrate remote sensing data with other datasets, such as weather, soil, and farm management data, for comprehensive analysis.
- Mentor and manage a team of remote sensing analysts, fostering a collaborative and innovative environment.
- Collaborate with cross-functional teams to define project requirements and deliver tailored geospatial solutions.
- Stay current with the latest advancements in remote sensing technologies, machine learning, and their applications in agriculture.
- Prepare technical reports, visualizations, and presentations for both technical and non-technical audiences.
- Contribute to the development of client-facing tools and products based on remote sensing insights.
Qualifications:
- Master's degree or Ph.D. in Geosciences, Remote Sensing, Environmental Science, Geography, or a related field with a strong focus on geospatial analysis.
- Minimum of 8 years of professional experience in remote sensing analysis, with at least 3 years in a leadership or senior role.
- Proven expertise in processing and analyzing multispectral, hyperspectral, and radar imagery.
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine, Google Earth Engine).
- Strong programming skills in Python, R, or similar languages for data analysis and automation.
- Experience with machine learning techniques applied to geospatial data is essential.
- Excellent understanding of agricultural principles and the application of remote sensing in this domain.
- Supervisory experience and strong leadership qualities.
- Exceptional problem-solving skills and the ability to work independently in a remote setting.
- Outstanding communication and presentation skills.
This is a unique opportunity to drive innovation in agricultural technology from a remote capacity. The core focus of this role is centered around data analysis and technological application in the agricultural sector, with the assigned geographical region being Nyeri, Nyeri, KE , though the work is entirely remote.
Senior Geologist & Remote Sensing Analyst
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze satellite imagery and other geospatial data for mineral exploration.
- Develop and interpret geological maps and models.
- Identify and evaluate potential mineral deposits using remote sensing techniques.
- Process and interpret airborne geophysical data.
- Conduct geological field investigations (when required and planned remotely).
- Prepare comprehensive technical reports and presentations.
- Collaborate with a multidisciplinary remote team.
- Manage exploration data and databases.
- Stay current with advancements in geology and remote sensing.
- Contribute to strategic exploration planning.
- Master's degree or PhD in Geology, Earth Sciences, or a related field.
- Minimum of 7 years of experience in geological exploration and data analysis.
- Proven expertise in remote sensing data acquisition and interpretation.
- Proficiency in GIS and remote sensing software (e.g., ArcGIS, QGIS, ENVI).
- Strong understanding of mineralogy, structural geology, and geophysics.
- Excellent analytical and problem-solving abilities.
- Demonstrated ability to work independently and manage projects remotely.
- Strong written and verbal communication skills.
- Experience with programming languages (e.g., Python) for data analysis is a plus.
- Familiarity with drone-based data acquisition and processing is desirable.
Senior Agricultural Agronomist & Remote Sensing Analyst
Posted 2 days ago
Job Viewed
Job Description
Lead Remote Sensing Data Analyst - Mining
Posted 2 days ago
Job Viewed
Job Description
Primary Responsibilities:
- Acquire, process, and analyze various types of remote sensing data, including satellite imagery (optical and radar), aerial photography, and LiDAR, for mineral exploration targets.
- Develop and implement advanced algorithms and workflows for feature extraction, anomaly detection, and geological mapping using remote sensing data.
- Integrate remote sensing data with other geological datasets, such as geophysical surveys, geochemical data, and drilling information, to create comprehensive 3D models.
- Validate and interpret remote sensing-derived geological information, collaborating with geologists and geophysicists to refine exploration models.
- Manage and maintain a robust database of remote sensing data and associated metadata.
- Develop and present detailed reports and visualizations of analytical findings to project teams and management.
- Stay current with the latest advancements in remote sensing technologies, image processing techniques, and GIS software.
- Provide technical guidance and mentorship to junior analysts within the remote team.
- Ensure data quality, consistency, and adherence to best practices in data management and analysis.
- Contribute to the strategic planning of exploration programs by identifying key areas for investigation based on remote sensing analysis.
- Master's degree in Remote Sensing, Geoinformatics, Geology, Geography, or a related field.
- A minimum of 8 years of hands-on experience in processing and interpreting remote sensing data for geological applications, preferably within the mining industry.
- Proficiency in industry-standard remote sensing software (e.g., ERDAS IMAGINE, ENVI, ArcGIS Pro, QGIS) and programming languages (e.g., Python, R) for data analysis.
- Solid understanding of photogrammetry, digital image processing, spectral analysis, and classification techniques.
- Experience with various satellite platforms (e.g., Sentinel, Landsat, Planet) and their data products.
- Proven ability to manage large geospatial datasets and develop efficient data processing pipelines.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a remote, collaborative team environment.
- Familiarity with geological concepts and mineral exploration workflows is a plus. The ideal candidate will be a self-starter, capable of independent work and proactive in identifying new opportunities for leveraging remote sensing data in exploration.
Remote Oilfield Data Analyst & Remote Sensing Specialist
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze seismic, well log, and geological data to identify potential oil and gas reservoirs.
- Process and interpret satellite imagery and aerial photography for geological and environmental assessments.
- Develop and apply advanced data mining and machine learning techniques to geological datasets.
- Create detailed geological models and reports for exploration targets.
- Collaborate with geologists, geophysicists, and petroleum engineers on exploration and development projects.
- Monitor field operations remotely and analyze production data for optimization opportunities.
- Assess environmental impact through remote sensing and provide mitigation strategies.
- Develop visualizations and dashboards to present complex data to stakeholders.
- Stay current with the latest advancements in remote sensing technology, GIS, and oilfield analytics.
- Ensure data integrity and accuracy in all analyses and reports.
- Contribute to the development of new methodologies for data interpretation and exploration.
- Master's degree or PhD in Geoscience, Geophysics, Petroleum Engineering, Remote Sensing, or a related field.
- Minimum of 5 years of experience in oil and gas exploration, with a focus on data analysis and remote sensing.
- Proficiency in geological software (e.g., Petrel, Kingdom Suite), GIS software (e.g., ArcGIS, QGIS), and remote sensing platforms.
- Strong programming skills (e.g., Python, R, SQL) for data analysis and automation.
- Experience with machine learning algorithms applied to geological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to interpret complex geological and geophysical datasets.
- Strong communication and presentation skills for conveying technical information to diverse audiences.
- Proven ability to work effectively in a remote, collaborative team environment.
- Knowledge of reservoir engineering principles is a plus.
Senior Geotechnical Engineer - Remote Sensing & GIS Specialist
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Acquire, process, and analyze remote sensing data (satellite imagery, aerial photos, LiDAR) for geotechnical applications.
- Utilize GIS software to create detailed geological maps, site characterization models, and risk assessments.
- Integrate geotechnical investigation data with spatial information for comprehensive analysis.
- Develop and manage geodatabases for mining and infrastructure projects.
- Interpret remote sensing imagery to identify geological features, soil types, and land cover changes.
- Assess ground stability, monitor slope movements, and identify potential geohazards.
- Apply advanced image processing and spectral analysis techniques to geotechnical data.
- Collaborate with geotechnical engineers and geologists to interpret findings and inform project decisions.
- Prepare technical reports, presentations, and visualizations for project stakeholders.
- Stay current with advancements in remote sensing, GIS, and geotechnical engineering technologies.
- Master's or Ph.D. in Geotechnical Engineering, Geology, Geosciences, or a related field with a strong specialization in Remote Sensing and GIS.
- Minimum of 7 years of experience applying remote sensing and GIS techniques to geotechnical engineering, mining, or civil infrastructure projects.
- Expertise in GIS software such as ArcGIS, QGIS, and remote sensing software such as ERDAS IMAGINE, ENVI, or similar.
- Proficiency in data processing and analysis using programming languages like Python or R is highly desirable.
- Strong understanding of geotechnical engineering principles, soil mechanics, and geological processes.
- Experience with photogrammetry and 3D modeling from aerial or satellite data.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Proven ability to work independently and manage complex projects in a remote setting.
- Strong written and verbal communication skills, with the ability to present technical information effectively.
- Experience with geostatistics and spatial analysis techniques.
Be The First To Know
About the latest Geospatial analysis Jobs in Kenya !
Geological Data Analyst and Remote Sensing Specialist
Posted 2 days ago
Job Viewed
Job Description
Lead Agronomist - Remote Sensing
Posted today
Job Viewed
Job Description
Responsibilities:
- Develop and deploy remote sensing techniques for crop health monitoring, disease detection, and stress analysis.
- Process and analyze large datasets from satellite imagery (e.g., Sentinel, Landsat) and drone surveys.
- Create high-resolution vegetation indices and other relevant geospatial layers.
- Integrate remote sensing data with ground-truth measurements for model calibration and validation.
- Develop predictive models for crop yield, soil moisture, and nutrient status.
- Design and implement algorithms for automated anomaly detection and issue identification.
- Collaborate with software engineers and data scientists to build scalable data processing pipelines.
- Provide expert agronomic advice based on remote sensing analysis to clients.
- Stay current with advancements in remote sensing technologies, GIS, and agricultural science.
- Train and mentor junior team members in remote sensing techniques and data analysis.
- Contribute to the company's research and development efforts in precision agriculture.
- Develop and maintain documentation for data processing workflows and analytical methodologies.
- Present findings and insights to diverse audiences, including farmers, researchers, and industry partners.
- Evaluate and recommend new sensors, software, and analytical tools.
- Ensure the quality and accuracy of all geospatial data and derived products.
- PhD or Master's degree in Agronomy, Soil Science, Remote Sensing, Geography, or a related field with a strong emphasis on geospatial technologies.
- Minimum of 7 years of experience in applying remote sensing and GIS techniques to agriculture.
- Demonstrated expertise in image processing software (e.g., ENVI, ERDAS IMAGINE) and GIS software (e.g., ArcGIS, QGIS).
- Proficiency in programming languages commonly used in geospatial analysis (e.g., Python with libraries like GDAL, Rasterio, Scikit-learn).
- Experience with cloud computing platforms (e.g., Google Earth Engine, AWS) for large-scale data processing.
- Strong understanding of crop physiology, soil science, and agronomic principles.
- Experience with machine learning techniques for classification and regression analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to translate complex technical information into practical advice.
- Proven ability to work independently and lead projects in a remote setting.
- Experience in developing and validating predictive agricultural models.
- Familiarity with different types of agricultural drones and sensor payloads.
- A passion for sustainable agriculture and food security.
Senior Geologist - Remote Sensing
Posted today
Job Viewed
Job Description
Key responsibilities include:
- Utilizing advanced remote sensing techniques to identify and map geological features and potential mineral targets.
- Processing and analyzing multispectral, hyperspectral, and radar imagery.
- Integrating remote sensing data with other geological datasets (e.g., geophysics, geochemistry, well logs).
- Developing and implementing remote sensing workflows for exploration projects.
- Conducting advanced data analysis and interpretation to assess prospectivity.
- Preparing detailed technical reports and presentations for exploration management.
- Mentoring junior geologists in remote sensing applications.
- Collaborating with geophysicists, geochemists, and data scientists.
- Keeping abreast of the latest developments in remote sensing technology and geological applications.