remote sensing specialist

Kyong-Ho Engineering & Architects Co., Ltd.

QUALIFICATIONS:<ul><li>Bachelor&rsquo;s degree in Geodetic Engineering or any related field</li><li>Minimum five (5) years of total professional experience</li><li>With relevant trainings in Geographic Information Systems (GIS), remote sensing, and spatial data analysis</li><li>Applicants with notable experiences in spatial data collection and analysis, preparation of thematic maps, etc. as GIS/Remote Sensing Expert are highly advantageous</li><li>Must be willing to work overseas</li></ul>Job Type: Contract

GIS Specialist/Remote Sensing Expert

Appliedecologyinc

Overview Applied Ecology, Inc., a small, but rapidly expanding environmental consulting business, is seeking a highly motivated and qualified GIS / Remote Sensing Scientist with expertise in collecting and applying various remote sensing data for environmental and ecological investigations. AEI has three offices located in Florida (Orlando, Melbourne, and Tampa) and is a regional leader in water resources, ecological and natural resources, geospatial, and environmental remediation and compliance services. As a small business, we are involved in diverse yet challenging environmental research projects that require innovative approaches and out-of-the-box solutions. Our business provides a great opportunity for an individual passionate about research to solve real-world environmental problems while working with a highly qualified multi-disciplinary team of scientists and engineers. This position is ideal for someone who prefers a high-energy environment working on diverse projects ranging from geospatial analyses of coastal changes, to identifying and evaluating habitat health, to estimating water column attributes.The GIS / Remote Sensing Scientist hired for this position will apply geospatial knowledge to plan and design research to support policy and programs that address environmental problems. Qualified candidates must have demonstrated experience and expertise in remote sensing data, geospatial analyses, and application of spatial analyses to environmental issues in Florida and the southeastern US. Additional competency is desired in one or more areas including water quality, environmental compliance, coastal management, habitat and species monitoring, resiliency and adaptation planning, shoreline restoration and monitoring, and/or environmental protection policies and programs. In this role, the qualified candidate will have the opportunity to further develop project management skills, interact with clients, and work on exciting small and large-scale project designs. The ideal candidate has a minimum of 5 years of professional experience in environmental remote sensing applications, solid technical writing skills, a willingness to step into project management, and is a great communicator and collaborator.Interested applicants, please submit a cover letter and resume addressed to Dr. Leesa Souto, Operations Manager, Applied Ecology, Inc. Responsibilities <ul><li>Develops and leads remote sensing research projects, including identifying, downloading, and manipulating remote sensing data, organizing data files appropriately, integrating data into ArcGIS for analyses, using and developing indices for interpretation, implementing appropriate analytical methods, and succinctly writing results that resonate with receiving audiences.</li><li>Provides leadership to the geospatial services team, including training GIS staff on remote sensing applications.</li><li>Develops and clearly depicts geospatial analyses and workflows, ensuring work products can be easily interpreted and recreated.</li><li>Effectively organizes, writes, and edits technical reports, user guides, peer review summaries, data collection memos, and other technical documents. Writes analytical methods and technical documents so they are understandable to lay readers and accurately represent processes and results.</li><li>Plans, implements, documents, and accurately records data collected using an Unmanned Aerial System (UAS, aka. drone).</li><li>Utilizes remote sensing data collected via drone (UAS), aerial, and satellite to evaluate water conditions and flows, estimate ChlA in water, and classify vegetative communities.</li><li>Interprets remote sensing data to evaluate water, vegetation, and habitat conditions, identify submerged aquatic vegetation, and apply other novel approaches to interpret remote sensing data using custom or known algorithms like the NDVI, NDCI, NDWI, etc.</li><li>Conducts remote sensing field data collection safely, documented accurately, and in compliance with applicable protocols and standard operating procedures.</li><li>Develops appropriate field validation monitoring to calibrate remote sensing estimates.</li><li>Oversees the calibration, maintenance, and inventory of specialized geospatial equipment like high resolution GPS equipment (RTK), UAS equipment (drones), and sensors.</li><li>Coordinates multidisciplinary research teams to design research and field sampling methods to solve real-world environmental problems.</li><li>Supports Sr. Project Managers by assisting with scopes of work and estimated costs, coordinating teams, and tracking tasks and budgets.</li><li>Assists with business development opportunities and written products, including proposal technical approaches, company capability statements, and project descriptions.</li><li>Presents at public workshops and community forums as needed to gather input on policy recommendations, restoration activities, adaptation planning and other activities.</li><li>Works on multiple projects and tasks simultaneously and tracks time to stay within budget and timeline.</li><li>Effectively communicates with clients, regulatory agencies, subcontractors, and the public.</li></ul> Minimum Requirements <ul><li>Bachelor's degree from a regionally or nationally accredited institution in Geography, GIS, Remote Sensing, Environmental Science, Engineering, Geology, Natural Resources or similar with Masters degree preferred.</li><li>5 years of progressive experience in environmental / ecological remote sensing applications.</li><li>3 years of experience in spatial / non-spatial data analysis and/or technical reporting.</li><li>A valid Florida Driver's license is required, and a clean driving record must be maintained.</li><li>Must be able to pass drug testing and a background check.</li><li>Ability to work on DOD contracts (US citizenship required).</li><li>UAV Remote Pilot Certification (or ability to get certified within 6 months).</li></ul> Preferred Qualifications <ul><li>3 years of UAV experience (data acquisition, processing, and scope development)</li><li>LiDAR processing experience</li><li>Experience in satellite data, including ESA sensors, data processing and applications</li><li>GIS Professional Certificate (GISP) or ASPRS certifications</li><li>Graduate degree in related fields</li><li>GIS and/or Remote Sensing experience in water resource management, ecological applications, and resilience/vulnerability assessments</li><li>Experience in python scripting in the GIS framework</li><li>Public sector project experience (state, local, and federal government)</li><li>Prior project management experience, including developing scopes and budgets, managing workflows, and completing quality review of deliverables</li><li>Training or supervisory experience</li><li>Experience presenting data and final products to technical peers and/or clients</li></ul> Knowledge, Skills, and Abilities (KSAs) <ul><li>Expertise with spatial data management, large dataset QA/QC, spatial analysis technologies, process design and modeling, server and web GIS technologies</li><li>Excellent technical writing and communication skills</li><li>In-depth understanding of remote sensing techniques and available sensors associated with multiple platforms.</li><li>Possesses effective analytical, critical thinking skills.</li><li>Is highly motivated to learn and contribute to the growing Geospatial Services Line.</li><li>Proficiency using the Microsoft Office suite with expertise using Excel, PowerPoint, Word, and familiarity with Access.</li><li>Able to work in the field in various weather conditions, lift heavy equipment (30 pounds), and stand, bend, twist, and walk for 8 hours a day.</li><li>Able to organize and prioritize time to execute multiple projects effectively.</li><li>Able to peer review and quality assure final data products created by the geospatial team</li><li>Detail-oriented and takes pride in delivering high quality work</li><li>Exhibits professional, courteous demeanor</li></ul>Applied Ecology, Inc. is an Equal Opportunity Employer. Our firm is committed through responsible management policies to recruit, hire, promote, train, transfer, compensate, and administer all other personnel actions without regard to race, color, ethnicity, national origin, age, religion, disability, marital status, gender, sexual orientation, gender identity or expression, genetic information, status as a protected veteran and any other factor prohibited under applicable federal, state, and local civil rights laws, rules, and regulations.

GIS / Remote Sensing Scientist - FL

KILONEWTONS

As a vital member of our technical team, you will be responsible for:
<ul>
<li>Spatial Data Management: Developing, maintaining, and managing enterprise geodatabases and spatial data infrastructure.</li>
<li>GIS Analysis &amp; Modeling: Performing advanced spatial analysis (e.g., overlay, proximity, network analysis) to support engineering, planning, and environmental projects.</li>
<li>Cartography &amp; Visualization: Designing, creating, and updating high-quality digital and print maps, web maps, and interactive dashboards for clients and stakeholders.</li>
<li>Remote Sensing: Processing and analyzing satellite imagery and aerial photography for various applications.</li>
<li>Web GIS Development: Configuring and managing ArcGIS Online/Enterprise platforms and developing interactive web mapping applications.</li>
<li>Project Support: Providing crucial GIS support to engineering and project management teams, ensuring accurate spatial data integration.</li>
<li>Automation &amp; Scripting: Developing scripts and models (e.g., using Python, ModelBuilder) to automate workflows and improve efficiency.</li>
<li>Quality Assurance: Ensuring the accuracy, integrity, and currency of all spatial data and metadata.</li>
</ul>

GIS Specialist

Mitti Labs

<div>About Mitti Labs:
Mitti Labs is a climate-tech startup dedicated to transforming the rice industry by supporting smallholder farmers in adopting sustainable practices. Our mission is to bring AI and satellite technology into traditional rice farming, reducing methane emissions while improving farmer livelihoods. 
Backed by NASA-supported science and a strong ecosystem of partners, we work with global corporations to help them achieve their net-zero goals through verified, high-quality carbon credits. Our initiatives include launching a 40,000 farmers project in Telangana and Andhra Pradesh and reducing air pollution from stubble burning in Punjab.
Our customers &mdash; including Fortune 500 companies, leading agri-businesses, and global NGOs &mdash; trust Mitti Labs to deliver measurable impact across climate, food systems, and sustainability. 
 
We are a team of 30+ data scientists, agronomists, engineers, and operators, including leaders in NASA&rsquo;s SAR program, with decades of expertise in remote sensing and GHG modeling.
Role Description:<ul><li>
Design, build and maintain ML/AI models from diverse geospatial data for tracking sustainable agriculture.</li></ul><ul>
<li>Preprocess and analyze large, complex geographic datasets (e.g., satellite imagery, sensor/field data), making them ready to be used with ML techniques to identify patterns and trends.</li>
<li>Enhance Application Readiness of ML/DL models to support dMRV platform and carbon science.</li>
</ul>
Requirements<ul>
<li>
5+ years experience in ML Engineering / Applications including productionization of geospatial agriculture models</li>
<li>Experience across diverse AI/ML architectures including design, implementation, evaluation, &amp; deployment</li>
<li>Expert in Python &amp; geospatial data handling with knowledge of common remote sensing assets like Sentinel, Landsat, Planet, soils, weather</li>
<li>Experience with statistical evaluations, assessing model performance and behavior, benchmarking, interpreting accuracy metrics, and automated model testing frameworks</li>
<li>Proficiency with libraries and frameworks such as PyTorch, VertexAI, TensorFlow, Keras, Scikit-learn, Airflow, Docker, etc&hellip;
 
Some experience with higher order tools like Geo-Foundational, CNNs, Transformers, LSTMs, ResNets, Embeddings, GANs, LLMs</li>
<li>Comfortable working with agile data scientists, high-growth environments with rapid iteration and evolving priorities, cross functional teams, version control, and ticketing</li></ul>
Benefits<ul>
<li>
Be at the frontline of climate-tech 
Mitti Labs is tackling the methane emissions and water-intensive practices of rice farming &mdash; a major global climate lever that few organisations are focussed on. You&rsquo;ll work with satellite/AI/field-data to drive real change, not just build features.
</li><li>High-impact global platform + deep local action 
The company&rsquo;s work spans from smallholder farmers in India and Southeast Asia to global carbon markets and buyers. You&rsquo;ll have the opportunity to interface with both real-world farm operations and high-level climate finance</li>
<li>Work with a mission-driven, elite team in a dynamic growth environment 
Mitti Labs is backed by top investors (Lightspeed, Voyager) and led by a team with deep expertise in agriculture, carbon science and tech. If you join, you&rsquo;ll be in a high-growth startup environment where your contributions matter, iteration is rapid, priorities evolve&mdash;and you&rsquo;ll see your work have tangible impact on climate and livelihoods.</li></ul></div>

Machine Learning Engineer - Geospatial AI

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

TELUS Digital Middle East FZ-LLC

Key Responsibilities
<ul>
<li>Develop original, high-level Physics question-and-answer pairs focused on analytical and conceptual understanding.</li>
<li>Design problem sets that require critical thinking and multi-step reasoning.</li>
<li>Write comprehensive, well-structured solutions meeting academic and professional standards.</li>
<li>Collaborate with interdisciplinary teams to refine and enhance AI-related content.</li>
<li>Maintain consistency, accuracy, and scientific precision across all materials.</li>
<li>Manage tasks independently within flexible working hours.</li>
</ul>
Skills Set
<ul>
<li>Advanced Physics concepts and applications</li>
<li>Academic writing and technical communication</li>
<li>Analytical reasoning and problem-solving</li>
<li>Research and content development</li>
<li>Remote collaboration and self-management</li>
</ul>
Why Join Us
<ul>
<li>100% remote position with flexible work-from-home hours.</li>
<li>Opportunity to contribute to next-generation AI and machine learning technologies.</li>
<li>Competitive pay and international project exposure.</li>
<li>Work within a global team of subject matter experts driving digital innovation.</li>
</ul>

Data Partner Remote Physics Subject Matter Expert

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