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AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. �������� at www.aidash.com    

We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others.  We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.”  We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.  

Join us in Securing Tomorrow!

The Role

• Do you love ecology and the power of spatial data? Do you dream of using cutting-edge technology to solve real-world environmental challenges?
• If so, then this Associate Ecologist position is for you! We are looking for passionate and skilled individuals to join our dynamic team and be part of Al powered sustainability platform using remote sensing and satellite/ariel imagery. You'll play a pivotal role in mapping detailed habitats, conduct LULC classification, monitoring biodiversity, and informing conservation efforts across diverse landscapes.

How you'll make an impact?

• Layer Mapping:
• Utilise remote sensing data (satellite imagery, LiDAR, aerial photography, field surveys) and GIS software to map and monitor habitat, biodiversity, and ecosystem health.
• Design and create intricate habitat maps using GIS software (QGIS,ArcGIS,or similar).
• Refine map symbology,labelling,and layout for clarity and visual impact.
• Manage and organise large geospatial datasets effectively. Land Use/Land Cover (LULC) Classification:- Create and modify LULC classification using remote sensing data to identify and map different land cover types across the UK / EU / USA landscape.
• Select and apply appropriate classification algorithms and techniques based on data characteristics and project goals.
• Assess classification accuracy(QA/QC) and uncertainty through validation with ground truth data.
• Utilise LULC information to understand habitat distribution,landscape patterns,and changes over time. Geospatial Analysis for Habitats:- Conduct spatial analyses to study habitats (UK / EU / USA or other classification standards) at various scales,utilising satellite imagery,LiDAR,and aerial imagery.
• Develop and apply advanced habitat mapping techniques tailored to UK / EU / USA ecosystems (heathlands,peatlands,woodlands,coastal environments and others).
• Analyse habitat change trends and assess the impact of factors like climate change,land-use intensification,and invasive species.
• Create maps of habitat distribution,biodiversity hotspots,and conservation priorities. Collaboration and Communication:- Collaborate with field ecologists, data scientists, GIS specialists, and other stakeholders to validate remote sensing data and refine mapping approaches.
• Stay abreast of ecological concepts, geospatial technology advancements and integrate them into mapping and monitoring strategies.

What we're looking for?

• Master's or equivalent degree in ecology, forestry, environmental science, botany, zoology, earth sciences (geography, geology, geoinformatics)or other related field with a strong emphasis on ecology, habitat enhancement, biodiversity, geospatial analysis and remote sensing.
• Prior experience in applying geospatial analysis to ecological mapping or conservation projects is highly desirable.
• Understanding of habitat mapping,LULC classification,and analysis using remote sensing data,ideally focused on UK/EU ecosystems is preferred.
• Hands on in GIS software (QGIS,ArcGIS,or similar) and experience remote sensing data and tools.
• Collaborative and team-oriented with the ability to work independently and in a team.
• Excellent communication skills to convey complex information effectively.
• 0 to 1 year of total work experience.