21 Drone Technology jobs in the United Kingdom
Senior Geologist - Remote Sensing
Posted 1 day ago
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Job Description
Responsibilities:
- Acquire, process, and interpret satellite and aerial imagery for mineral exploration.
- Utilize advanced remote sensing software and techniques for geological mapping.
- Identify and delineate potential mineral prospects based on spectral and spatial data.
- Integrate remote sensing data with other geophysical and geochemical datasets.
- Develop and refine remote sensing methodologies for diverse geological settings.
- Provide geological interpretations and recommendations to exploration teams.
- Collaborate with interdisciplinary teams on exploration strategy and target generation.
- Prepare technical reports and presentations on findings and recommendations.
- Stay current with advancements in remote sensing technologies and geological applications.
- Mentor junior geologists in remote sensing techniques.
- Contribute to the development of digital geological models.
- MSc or PhD in Geology, Geophysics, or a related field with a specialization in remote sensing.
- Minimum of 7 years of experience in geological exploration, with a strong focus on remote sensing applications.
- Extensive experience with remote sensing software packages (e.g., ENVI, ERDAS IMAGINE, ArcGIS).
- Proficiency in spectral analysis and mineral identification techniques.
- Solid understanding of geological principles and mineral deposit models.
- Demonstrated success in identifying mineral prospects using remote sensing data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex information clearly.
- Experience with programming languages (e.g., Python) for data processing is a plus.
- Ability to work independently and collaboratively in a remote environment.
Geological Surveyor (Remote Sensing)
Posted 3 days ago
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Job Description
Key Responsibilities:
- Conduct detailed geological surveys and analysis using remote sensing techniques, including but not limited to optical, radar, and LiDAR data.
- Process and interpret multispectral and hyperspectral imagery for mineral identification and mapping.
- Utilise GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ENVI, ERDAS Imagine) for data analysis and visualisation.
- Identify geological structures, landforms, and potential resource deposits from remote sensing data.
- Assess geological hazards such as landslides, subsidence, and volcanic activity using remote sensing.
- Develop geological maps and reports based on remote sensing interpretations.
- Collaborate with geologists, geophysicists, and other domain experts to integrate remote sensing findings with other geological data.
- Stay current with advancements in remote sensing technologies and methodologies relevant to the mining and resources sector.
- Develop and implement protocols for data acquisition, processing, and quality control.
- Provide expert advice on the application of remote sensing for geological exploration and environmental monitoring.
Qualifications and Experience:
- Advanced degree (MSc or PhD) in Geology, Geophysics, Earth Sciences, or a related field with a strong focus on remote sensing.
- Demonstrated experience in applying remote sensing techniques to geological mapping, mineral exploration, or resource assessment.
- Proficiency in industry-standard remote sensing software and GIS packages.
- Strong understanding of geological principles and their manifestation in remote sensing data.
- Excellent analytical and problem-solving skills.
- Ability to interpret complex datasets and produce clear, concise reports.
- Strong written and verbal communication skills, suitable for a remote working environment.
- Experience with scripting languages (e.g., Python) for data processing automation is highly advantageous.
- Ability to work independently and manage project timelines effectively.
- Experience in the mining industry is a significant plus.
Lead Remote Sensing Scientist
Posted 4 days ago
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Job Description
As the Lead Remote Sensing Scientist, you will be responsible for conceptualizing and executing research projects using satellite imagery, LiDAR, and other geospatial data sources. You will develop and validate algorithms for feature extraction, change detection, classification, and quantitative analysis. A significant part of your role will involve mentoring and supervising a team of remote sensing specialists, overseeing data acquisition strategies, and ensuring the scientific rigor and quality of all derived products. You will also play a key role in collaborating with external partners, presenting findings at conferences, and publishing research in peer-reviewed journals. The ability to translate complex scientific concepts into practical applications for diverse stakeholders is essential, especially within our remote operational framework.
We are looking for a candidate with a strong academic background and extensive practical experience in remote sensing and geospatial data analysis. Proven leadership capabilities, a deep understanding of various sensor platforms and analytical techniques, and a track record of successful research publication are required. Expertise in programming languages commonly used in geospatial science (e.g., Python, R, MATLAB) and experience with GIS software are crucial. Since this role is entirely remote, exceptional communication, project management, and independent work skills are paramount for success. You will be expected to drive innovation and deliver high-quality scientific outcomes autonomously.
Key Responsibilities:
- Lead the scientific direction and execution of remote sensing research projects.
- Develop, implement, and validate advanced algorithms for processing and analyzing diverse geospatial datasets.
- Supervise and mentor a team of remote sensing scientists and analysts.
- Oversee data acquisition strategies and ensure data quality control.
- Author and co-author scientific publications, reports, and grant proposals.
- Present research findings at national and international conferences.
- Collaborate with interdisciplinary teams and external stakeholders to apply remote sensing solutions.
- Contribute to the development of new geospatial products and services.
- Stay abreast of the latest advancements in remote sensing technologies and methodologies.
- Ensure scientific integrity and ethical conduct in all research activities.
Qualifications and Experience:
- PhD in Remote Sensing, Geospatial Science, Environmental Science, or a related field.
- Minimum of 7 years of post-doctoral research experience in remote sensing applications.
- Proven experience leading research teams and projects.
- Expertise in the processing and analysis of satellite imagery (e.g., Sentinel, Landsat, Planet) and LiDAR data.
- Strong programming skills in Python and/or R, including relevant geospatial libraries (e.g., GDAL, Rasterio, Scikit-learn).
- Proficiency with GIS software (e.g., ArcGIS, QGIS) and image processing software (e.g., ENVI, ERDAS Imagine).
- Demonstrated track record of peer-reviewed publications and conference presentations.
- Excellent analytical, problem-solving, and critical thinking skills.
- Outstanding written and verbal communication skills, essential for remote collaboration.
This is a unique opportunity for a passionate and experienced scientist to shape the future of environmental monitoring and contribute to impactful scientific discoveries within a flexible, remote setting.
Agronomist - Remote Sensing Specialist
Posted 6 days ago
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Job Description
Key Responsibilities:
- Utilize remote sensing data (satellite, aerial) to assess crop health, stress, and nutrient deficiencies.
- Develop and implement spatial analysis techniques for soil mapping and variability assessment.
- Integrate various data sources, including weather, soil, and spectral imagery, for comprehensive farm management recommendations.
- Create detailed reports and visualizations of findings for farmers and agricultural stakeholders.
- Advise on precision agriculture strategies based on geospatial data analysis.
- Conduct field assessments and ground-truthing to validate remote sensing data.
- Stay abreast of emerging technologies and methodologies in agronomy and remote sensing.
- Collaborate with the research and development team on new analytical tools and approaches.
- Provide technical support and training to clients on using data-driven insights.
- Master's degree or PhD in Agronomy, Crop Science, Soil Science, Geography, or a related field with a strong focus on remote sensing/GIS.
- Proven experience (3+ years) in applying remote sensing and GIS technologies to agricultural challenges.
- Proficiency in remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS platforms (e.g., ArcGIS, QGIS).
- Strong knowledge of crop physiology, soil science, and plant pathology.
- Experience with programming languages like Python or R for data analysis is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to interpret complex data and present findings clearly.
- Experience working in the UK agricultural sector is advantageous.
- Valid driver's license and willingness to travel to field sites as needed.
Geological Engineer - Remote Sensing Specialist
Posted today
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Job Description
The ideal candidate will leverage advanced remote sensing data (satellite imagery, LiDAR, photogrammetry) to support geological mapping, resource exploration, and environmental monitoring in mining operations. You will play a vital role in providing actionable geological insights that enhance operational efficiency, reduce risks, and promote sustainable practices.
Key Responsibilities:
- Acquire, process, and interpret remote sensing data for geological applications.
- Develop and implement methodologies for analyzing satellite imagery, aerial photography, and LiDAR data.
- Create detailed geological maps and 3D models using remote sensing outputs.
- Conduct spatial analysis to identify mineral deposits, assess geological hazards, and monitor environmental changes.
- Integrate remote sensing data with other geological datasets (e.g., geophysical, geochemical).
- Develop and maintain databases of geological and remote sensing information.
- Collaborate with geologists, geophysicists, and other engineers on project teams.
- Prepare technical reports, presentations, and proposals for clients.
- Stay current with advancements in remote sensing technology and geological interpretation techniques.
- Contribute to the development of new services and methodologies for geological consulting.
Qualifications and Experience:
- A Bachelor's or Master's degree in Geological Engineering, Geosciences, Remote Sensing, or a closely related field.
- Minimum of 4 years of professional experience in geological applications of remote sensing.
- Proficiency in remote sensing software (e.g., ERDAS Imagine, ENVI, ArcGIS Pro with extensions) and GIS platforms.
- Experience with data processing for various remote sensing data types (optical, radar, LiDAR).
- Strong understanding of geological principles and their application in resource exploration.
- Experience with photogrammetry software and techniques is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication skills for technical reporting and remote collaboration.
- Ability to work independently and manage projects within a fully remote structure.
- Demonstrated experience in contributing to mining or resource exploration projects.
This is a unique opportunity to apply your specialized skills in a fully remote capacity, contributing to vital projects within the global mining industry. Join Our client and help shape the future of resource exploration and management. This role, while remote, supports Our client's endeavours relevant to geological analysis in regions including **Leicester, Leicestershire, UK**.
Senior Agronomist - Remote Sensing Specialist
Posted today
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Job Description
Responsibilities will include:
- Designing and implementing remote sensing strategies for crop monitoring, health assessment, and yield prediction.
- Processing and analysing geospatial data from various sources, including satellites (e.g., Sentinel, Landsat) and drones.
- Developing and validating spectral indices and algorithms for detecting plant stress, nutrient deficiencies, and disease outbreaks.
- Creating detailed reports and visualisations to communicate findings and recommendations to a non-technical audience.
- Collaborating with research and development teams to explore new sensor technologies and analytical methods.
- Providing technical guidance and support to clients on the adoption and application of precision agriculture tools.
- Conducting field visits for calibration, validation of remote sensing data, and to gain on-the-ground insights.
- Staying abreast of the latest advancements in agronomy, remote sensing, and agricultural technology.
- Contributing to grant applications and research projects focused on sustainable agriculture and data science.
- Mentoring junior team members and contributing to knowledge sharing within the department.
Principal Data Scientist - Remote Sensing
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead the development and application of advanced data science techniques for remote sensing data.
- Design and implement robust data processing and analysis workflows.
- Develop and deploy machine learning/deep learning models for image classification, change detection, and feature extraction.
- Collaborate with domain experts to define research questions and analytical approaches.
- Mentor and guide junior data scientists and researchers.
- Stay current with state-of-the-art remote sensing technologies and data science methodologies.
- Communicate complex findings effectively through reports, publications, and presentations.
- Contribute to grant proposals and project planning.
Qualifications:
- PhD in Data Science, Geosciences, Computer Science, Physics, or a related quantitative field with a focus on remote sensing.
- Minimum of 8 years of relevant experience in data science, with a significant portion focused on remote sensing data analysis.
- Demonstrated expertise in statistical modeling, machine learning, and deep learning.
- Proficiency in Python or R and relevant geospatial and scientific computing libraries.
- Experience with cloud computing platforms and big data technologies.
- Strong understanding of Earth observation principles and data formats.
- Excellent analytical, problem-solving, and communication skills.
- Proven ability to lead technical projects and mentor team members.
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Senior Geologist - Remote Sensing Specialist
Posted 2 days ago
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Job Description
Senior Agronomist - Remote Sensing Specialist
Posted 2 days ago
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Job Description
Responsibilities:
- Develop, calibrate, and validate remote sensing models for crop health monitoring, yield prediction, soil moisture analysis, and nutrient management.
- Process and analyze large volumes of geospatial data from various sources including Sentinel, Landsat, MODIS, and high-resolution drone imagery.
- Utilize advanced GIS and remote sensing software (e.g., ArcGIS, QGIS, ENVI, Google Earth Engine) to create thematic maps and visualizations.
- Collaborate with cross-functional teams, including agronomists, data scientists, and software engineers, to integrate remote sensing data into broader agricultural solutions.
- Conduct field validation studies to ground-truth remote sensing data and model outputs.
- Prepare comprehensive technical reports, presentations, and recommendations for internal stakeholders and external clients.
- Stay abreast of the latest advancements in remote sensing, AI/ML applications in agriculture, and relevant agricultural research.
- Mentor junior team members and contribute to knowledge sharing within the organization.
- MSc or PhD in Agronomy, Crop Science, Soil Science, Geography, Environmental Science, or a related field with a strong emphasis on remote sensing and geospatial analysis.
- Minimum of 5 years of progressive experience in applying remote sensing techniques to agricultural challenges.
- Proficiency in one or more major GIS and remote sensing software packages.
- Demonstrable experience with programming languages commonly used in data science and geospatial analysis (e.g., Python, R).
- Strong understanding of agricultural principles, crop physiology, and agronomic practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Superior written and verbal communication skills, with the ability to translate complex technical information into accessible insights.
- Proven ability to work independently and as part of a distributed team in a remote setting.
- Experience with cloud-based geospatial platforms (e.g., Google Earth Engine, Microsoft Planetary Computer) is highly desirable.
Senior Agricultural Scientist - Remote Sensing
Posted 3 days ago
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Job Description
Responsibilities:
- Develop and apply advanced remote sensing techniques for agricultural monitoring.
- Process and analyze large volumes of satellite and aerial imagery.
- Utilize GIS software for spatial data analysis and interpretation.
- Assess crop health, soil moisture, and nutrient status using geospatial data.
- Develop predictive models for crop yield and disease outbreak.
- Advise on precision agriculture and sustainable farming practices.
- Collaborate with researchers, farmers, and industry stakeholders remotely.
- Prepare detailed technical reports and present findings to diverse audiences.
- Stay abreast of emerging technologies and methodologies in remote sensing and agriculture.
- Ph.D. or Master's degree in Agricultural Science, Agronomy, or related field with a remote sensing focus.
- Minimum of 7 years of experience in applying remote sensing and GIS to agriculture.
- Expertise in geospatial data processing and analysis software (e.g., ArcGIS, QGIS, ENVI, Google Earth Engine).
- Proficiency in programming languages such as Python or R.
- Strong understanding of agricultural principles and practices.
- Excellent analytical, problem-solving, and communication skills.