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Mostrando entradas con la etiqueta remote sensing. Mostrar todas las entradas
Mostrando entradas con la etiqueta remote sensing. Mostrar todas las entradas

4 de agosto de 2026

Postdoc en ecología del Ártico y conservación (Universidad de Zúrich, Suiza)

Postdoc en ecología ártica y conservación - Universidad de Zúrich, Suiza - 2 años (80-100%) - Deadline 1 septiembre 2026

Location: Zurich, Switzerland

Organization: University of Zurich

Contract Type: Postdoc, 80–100%, 2-year initial contract with option for prolongation

Main Description:
The University of Zurich is offering a postdoctoral position (80–100%) for 2 years to support research on KM-GBF target 3 ('30x30') in the terrestrial Arctic. The role involves spatial ecological analysis, predictive modelling, and vegetation change research using diverse methods ranging from field experiments to satellite remote sensing.

Requirements:
  • Knowledge of ecology and conservation theory and concepts
  • Skills in spatial ecological analysis and/or predictive modelling
  • Interest in co-production of knowledge and interaction with Indigenous representatives

Benefits/Conditions:
  • Postdoc-level salary (80–100% position)
  • 2-year initial contract with option for prolongation
  • Working location at University of Zurich with potential Arctic field work

How to Apply:
Submit a single PDF file including a cover letter (motivation, vision, and contribution), CV, and university degrees to admin.schaepman-strub@ieu.uzh.ch

Deadline: 1 September 2026

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26 de julio de 2026

Trabaja en IA y análisis de imagen para enfermedades de plantas (Alemania)

Research Engineer en análisis de imagen con IA y detección óptica en ecología de enfermedades de plantas - Universidad de Gotinga, Alemania - Contrato 80%, 2 años con posibilidad de permanencia - Deadline 31 julio 2026

Location: Goettingen, Germany

Organization: University of Goettingen, Division of Plant Diseases and Crop Protection

Contract Type: Research engineer position (80%), initial 2-year contract with possibility of permanent contract after successful evaluation. Salary according to Entgeltgruppe 11 TV-L.

Main Description: The successful candidate will develop and apply AI-based image analysis and optical sensing approaches in plant disease ecology. The position sits at the interface between scientific programming, machine learning, image analysis, and plant disease experiments.

Requirements:
  • Minimum Bachelor's degree in Computer Science, Data Science, or a related field
  • Strong background in scientific programming, AI-based image analysis, machine learning, and data management
  • Experience with large image datasets, image analysis pipelines, and training/validation of machine learning or deep learning models
  • Experience with RGB, multispectral, hyperspectral, thermal infrared, or 3D/LiDAR image data applied to biological systems, preferably plants or plant diseases

Benefits/Conditions:
  • Salary according to Entgeltgruppe 11 TV-L
  • Initial 2-year contract with possibility of conversion to permanent contract after successful evaluation

How to Apply: Apply through the University of Goettingen application portal: https://obp.uni-goettingen.de/en-US/Stellen/StellenDruck/76465

Deadline: 31 July 2026

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24 de junio de 2026

Beca en Finlandia para estudiar dinámicas de bosques

PhD en evaluación y modelado de plantaciones forestales a escala de paisaje - University of Eastern Finland, Finlandia - Deadline consultar web

Location: University of Eastern Finland (UEF), Finland

Organization: University of Eastern Finland (UEF) – supervised by Blas Mola and Timo Tokola

Contract Type: PhD position (scholarship/stipend – see website for details)

Main Description:
This PhD project focuses on the landscape-level assessment and modelling of forest plantation growth dynamics and ecosystem services across Europe. The successful candidate will develop and apply spatial data analysis and modelling approaches to evaluate how forest plantations contribute to ecosystem services at broad spatial scales, with a European focus.

Requirements:
  • Background in forest ecology, environmental sciences or related disciplines
  • Proficiency in spatial data analysis and modelling

Benefits/Conditions:
  • Scholarship/stipend (details available on the UEF website)

How to Apply:
Apply through the UEF admissions portal. Full details and application link available at: https://sites.uef.fi/dp-fobi/european-landscape-level-assessment/

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27 de mayo de 2026

Contrato jugoso para hacer un doctorado sobre migración de aves (Suecia)

PhD en migración de aves con radar meteorológico - Universidad de Lund, Suecia - Tiempo completo con salario - Deadline 1 junio 2026

Location: Lund, Sweden

Organization: Lund University, Division of Evolutionary Ecology and Infection Biology, Department of Biology

Contract Type: PhD position (full-time employment with monthly salary)

Main Description:
This doctoral position is based within the Lund Migration Group and focuses on investigating how different disruptors affect large-scale flows of nocturnal migrants using data from the European weather radar network. The project examines the robustness of animal migration through analysis of large volumes of biological data extracted from weather radars.

The successful candidate will have access to a stimulating, non-hierarchical, inclusive and creative research environment working alongside world-leading experts in bird migration.

Requirements:
  • Second-cycle degree (master's) or equivalent
  • Independent work in a relevant subject of at least 30 ECTS credits
  • Excellent ability to work independently
  • Exceptional written and oral skills in English
  • Ability to analyse large databases
  • Strong cooperation skills
Benefits/Conditions:
  • Full-time employment with monthly salary
  • Generous annual leave and advantageous occupational pension scheme
  • Access to specialised infrastructure: electronics laboratory, orientation study facilities, and wind tunnel
  • Non-hierarchical, inclusive and creative research environment with world-leading experts in bird migration
How to Apply:
Apply online at lu.varbi.com with the following documents:
  • CV
  • Cover letter explaining your interest in the position
  • Copies of study certificates/diplomas
  • Any other relevant information (grades, references, letters of recommendation)
For further information, contact: Cecilia Nilsson – cecilia.nilsson@biol.lu.se / +46707363916

Deadline: 1 June 2026

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6 de mayo de 2026

Postdoctoral Researcher in Vegetation Mapping and Herbivory - Greenland Institute of Natural Resources (GINR), Nuuk, Greenland

Postdoctoral Researcher in Vegetation Mapping and Herbivory - Greenland Institute of Natural Resources (GINR), Nuuk, Groenlandia - 40 hrs/semana - Trabajo de campo ártico con UAV y machine learning - Deadline 31 mayo 2026

Location: Nuuk, Greenland

Organization: Greenland Institute of Natural Resources (GINR)

Contract Type: Postdoctoral position

Main Description:
The Greenland Institute of Natural Resources is seeking a postdoctoral researcher to study herbivory and develop plant biomass maps in areas used by large herbivores (caribou and muskoxen). The position involves field measurements, UAV mapping, and AI-based analysis. Results will be used to advise the Government of Greenland on wildlife conservation and management.

Requirements:
  • PhD in natural sciences
  • Experience in plant ecology and large herbivore ecology
  • Experience in ecological fieldwork in remote Arctic/subarctic environments
  • Experience integrating field data with UAV mapping (multispectral, structure from motion, LiDAR)
  • Experience applying machine learning (random forest, deep learning) to vegetation classification and biomass estimation
  • Experience with Google Earth Engine or other remote sensing platforms
  • Competence in quantitative analysis with R and/or Python
  • Proficiency in spoken and written English
  • Knowledge of Danish and Greenlandic is an advantage

Benefits/Conditions:
  • Salary according to collective agreements between the Government of Greenland and organizations
  • GINR assistance with accommodation according to internal regulations
  • 40 hours per week
  • Travel included for fieldwork and meetings

How to Apply:
Submit application, CV, diplomas, certificates and relevant documents through the online form at the job posting page. For more information contact Mathilde Le Moullec (malm@natur.gl, +299 244752) or Fernando Ugarte (feug@natur.gl).

Application deadline: May 31, 2026

More information and application

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17 de abril de 2026

Especialista en SIG y teledetección con IA en Fundación Global Nature (Madrid)

Especialista en SIG y Teledetección - Fundación Global Nature - Madrid, España - Contrato indefinido - 29.523€/año - Google Earth Engine, QGIS, IA

Ubicación: Madrid, España

Organización: Fundación Global Nature (FGN)

Tipo de Contrato: Contrato indefinido, jornada completa (40h/semana), modalidad híbrida

Descripción Principal:
Puesto de especialista en Sistemas de Información Geográfica (SIG) y teledetección con experiencia en Google Earth Engine, QGIS y aplicaciones de IA. Proyecto con impacto ambiental en entorno híbrido y colaborativo.

Requisitos:
  • Experiencia en Google Earth Engine o plataformas similares
  • Conocimientos en plataformas SIG de software libre como QGIS
  • Experiencia o conocimientos en aplicaciones de IA para tareas de SIG

Beneficios/Condiciones:
  • Salario bruto anual: 29.523 €
  • Jornada completa 40h/semana
  • Modalidad híbrida
  • Contrato indefinido
  • Oportunidades de desarrollo y aprendizaje continuo

Cómo Aplicar:
Enviar CV a mdescalzo@fundacionglobalnature.org

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5 de marzo de 2026

Trabaja en remoto para rePLANET salvando manglares

Analista de manglares y carbono azul - rePLANET - Remoto internacional - Proyectos en América Central y del Sur - Contrato competitivo

Location: Remote, international

Organization: rePLANET

Contract Type: Full-time contract (employee or contractor depending on location)

Main Description:
Specialist analyst in mangrove restoration and blue carbon to design and implement large-scale restoration strategies. The position requires experience in carbon modeling, hydrological analysis, and carbon verification and certification processes (MRV). Work in close collaboration with teams in the UK and on-site in projects primarily in Central and South America.

Requirements:
  • Hands-on experience in planning and implementing mangrove restoration projects
  • Experience in mangrove ecosystem analysis and carbon storage assessment
  • Competence in blue carbon assessment techniques and mangrove carbon modeling
  • Knowledge of tidal pattern analysis and coastal/tidal hydrology
  • Familiarity with carbon certification processes (VERRA, Plan Vivo) and carbon accounting methodologies
  • Experience preparing or reviewing technical documentation (PDDs, MRVs)
  • Analytical and data modeling skills (biomass, carbon storage)
  • Competence in coastal remote sensing (SAR, hyperspectral)
  • Knowledge of aquaculture and interaction with mangrove systems
  • Experience with validation/verification audits
  • Marine fieldwork competencies and water safety
  • Fluent English and Spanish (written and verbal)
  • Basic programming (R, Python, Java)
  • Bachelor's or Master's/PhD in relevant discipline

Benefits/Conditions:
Competitive package (details available during interview process). Positions available as employee or contractor depending on location.

How to Apply:
Apply online at: https://replanet.bamboohr.com/careers

5 de marzo de 2025

Postdoc in Biodiversity, Remote sensing and AI (Sweden)

Job title:

Postdoctor in Biodiversity, Remote sensing and AI
Reference number PAR 2025/130


Responsibilities:
At the Department of Biological and Environmental Sciences (BioEnv) at the University of Gothenburg, you will be part of a multidisciplinary team working on methods to predict biodiversity and carbon recovery in tropical forests, integrating remote sensing, ground-truthing, and AI models. You will analyze and model high-resolution carbon and biodiversity data from sites in southeastern Brazil and southwestern Costa Rica, exploring different land-use categories and stages of ecosystem restoration.

You will implement and optimize data analysis and model frameworks using an interpretable AI approach to:

  1. Identify cost-effective ways of measuring carbon and biodiversity at scale
  2. Test the relative importance of stochastic vs deterministic factors in predicting carbon sequestration and biodiversity recovery
  3. Identify the optimal combination of restoration sites and methods to maximize biodiversity and carbon storage under limited budgets

You will also collaborate with international research groups, including study visits to ETH Zurich to optimize computational models. Co-supervision of students and optional teaching (up to 20%) may be part of the role.


Requirements:

  • A doctoral degree in bioinformatics, biodiversity science (with a strong analytical component), computational biology, or a related field
  • Advanced programming skills in R or Python
  • Proven experience developing and applying machine learning models
  • A strong track record of scientific publications
  • Ability to work both independently and in a diverse team environment
  • Excellent written and spoken English

Desirable qualifications:

  • Teaching and mentoring experience
  • Fieldwork experience (e.g., biodiversity surveys)

Personal qualifications:
You should be constructive, flexible, and cooperative, with strong organizational and communication skills. You must be comfortable asking for guidance as needed, as well as supporting others. You will present your work regularly and collaborate across multiple locations.


Location:
This position is based at the Department of Biological and Environmental Sciences in Natrium at Medicinaregatan 7B, Gothenburg, Sweden.


How to apply:
Submit your application through the University of Gothenburg’s recruitment portal by clicking the “Apply” button in the original job posting. Your application must include:

  • A cover letter explaining how you meet the selection criteria
  • A list of qualifications (full CV)
  • A short essay (about half a page + references) on how remote-sensed and ground-based data can be integrated to predict biodiversity in tropical forests
  • A complete list of publications (including submitted and accepted manuscripts)
  • Links to your GitHub or other code repositories
  • Certificate of PhD exam

Applications must be received by March 17th, 2025.


Contact details:
For questions regarding the position:

For questions about the employment process:

  • HR at the Department of Biological and Environmental Science: hr@bioenv.gu.se


10 de enero de 2025

Desarrolla tecnologías para un planeta sin deforestación trabajando con datos geoespaciales a gran escala

Oferta compartida por Cristina

Senior Software Engineer (Geospatial Data)

About Us

We are a fast-growing, Series A NatureTech company (backed by leading investors AzureX Space Ventures, Equinor Ventures, and Intercontinental Exchange) on a mission to enable zero deforestation and degradation and support mass forest restoration by producing the highest-quality nature mapping data and insights products.

Data is at the heart of Space Intelligence. We process large volumes of satellite data and analyse it within a machine learning framework to produce valuable nature mapping products for our clients.

Our products are trusted by the developers and investors in nature-based solutions, including Apple, Climate Asset Management, Everland, and WCS. They are also used to support the validation of compliance with the EU Deforestation Regulation (EUDR) through our partnership with ICE’s Commodity Traceability Service (COT).

We are a group of passionate, dedicated individuals with deep technical and scientific knowledge necessary for producing reliable, high-quality data and insights. We have a strong understanding of our customers’ needs and develop long-term relationships that add value.

We are a values-driven organisation, embodying these principles in our daily work: we are Science-driven, with a Commitment to Quality, always Acting with Integrity. We have a focus on Innovation to create better products for our clients and an overall commitment to Equality. We are striving to create a commercial culture that is meritocratic and outcome-oriented.


Purpose

Our Senior Software Engineers in the Pipelines Data team partner with our world class Mapping Science and research teams to create pipelines for large scale analysis of Satellite imagery (Gigapixels scale) using data manipulation and machine learning.

You’ll:Write ML and Data pipelines in python from scratch, with scientific input from the Science team.
Optimise (for performance, and maintainability) pipelines written by others.

Our Pipelines team splits their time between working in an engineering focused team, and embedding into our Science team, producing actual data, assisting them with big data engineering, and helping them optimise our pipelines.

This role is a leadership role involving providing technical leadership, and mentoring to the team.


Who the role reports to

One of our Software Engineering Managers, or Head of Engineering.


Key Responsibilities and Deliverables

Your top level responsibility is to develop, deliver and maintain high quality products. Key responsibilities within that will be as follows:Be a leader in the team, mentoring and training other team members, and stepping up to lead projects or delivery as needed. You’ll “lead by example” modelling good practice.
Deliver high quality, low defect, maintainable (well structured for extension, well designed, documented & tested) code and systems, working closely as part of the team.
Review other engineers’ code, with a focus on their development – using the opportunity to mentor and train them.
Debug and fix issues identified in testing or production. – inc. providing UK business hours support.
Lead and contribute to testing.

The above is not exhaustive. Within reason, and in discussion with the role-holder, we may amend from time to time and may also ask to carry out other tasks that we consider appropriate.


Key Qualifications, Requirements, CompetenciesAlthough you may not be a scientist by training, you’ll be keen to partner closely with Forest, Data and Remote sensing scientists, learning to speak their language. You’ll likely have either a strong academic background in Physical Science / Geospatial, or at least demonstrable interest in this area and be a quick learner.
You will have experience with dealing with big datasets, optimising performance and implementing scalable solutions.
(Desirable) Experience of Machine Learning for geospatial data or similar areas such as Computer VisionExtensive experience of software engineering, including design, implementation, Testing (manual and automated) and problem diagnosis. Typically 5+ years. – covering at least 1 of the team’s focus areas of (Geospatial)Data, DevOps or ML
A technical degree or equivalent experience – Software Engineering/CS/ML degree is a bonus but not required.
You’ll have taken ownership of the development of significant software products or components in a multi person team.
(Desirable) Significant experience of Scrum/Agile.
Our tech stack is as follows – knowledge of these is a bonus but not required. Azure
Terraform
Python
xArray and Dask
GitHub
We are looking for a candidate who will be based in our office in central Edinburgh. Most of our team are in the office most days, and we feel you will learn fastest if you are in the office most days too. However, we support hybrid working and would be happy for you to work 1-2 days a week from home.
Right to work in the UK


Salary

Starting salary range £50,000 – £70,000. Placing dependent on experience. Pro rata for part-time.


Key decisions this role-holder makesTechnical design decisions – e.g. infrastructure / library selection
Architectural decisions – proposing the appropriate architecture for a piece of software/infrastructure.
Prioritisation decisions – do we do X or Y first? Do we need to do Z before we release?

For all of the above – you’ll make smaller decisions independently, larger decisions you’ll drive, and agree with the team and other stakeholders, and the biggest you’ll make in collaboration with the Head of Engineering.


Company values

We have defined values and we are proud of them. Each team member has an obligation to work in a way that is in keeping with our values and this will form part of how we assess contribution to our business.

Our values are –Science Driven
Committed to Quality
Integrity
Innovation
Equality


Working hours

37.5 hrs full time. We also welcome applicants to do this role Part time, ideally 70%+. We are a family friendly employer and offer a degree of flexi-time.

All our roles operate within normal office hours, Mon – Friday. Very rarely, weekend and evening working may be required

Some travelling may be required – up to 10% of time for this role

26 de septiembre de 2024

Científico de Datos Geoespaciales – Lidera Proyectos de Teledetección

Oferta compartida por Cristina

Geospatial Data Scientist with focus on remote sensing

GAF AG is an internationally successfully operating company for cross-platform EO-based geoinformation solutions and for the development of innovative GIS and database applications. In addition to the reception and distribution of geodata, GAF holds a leading position in the areas of data refinement and geoconsulting due to its many years of expertise. With an international and interdisciplinary team of experts, GAF sets standards for individual consulting as well as for state-of-the-art cloud- and AI-based solutions in the field of satellite-based monitoring of future- and sustainability-oriented application areas.

To further strengthen our team in the field of geodata analysis at our headquarters in Munich, we are looking for a

Geospatial Data Scientist with focus on remote sensing for the processing and analysis of geospatial data


The results of our work are used by authorities, companies and in science worldwide for further analysis and decision-making. Using our data analysis capabilities, we provide thematic and statistical information at various spatial reference levels locally and globally. Processing large volumes of satellite data with innovative analysis methods in cloud infrastructures has been indispensable for several years and enables, for example, the creation of land cover products on a continental scale as part of the EU‘s Copernicus program.

These will be your tasks:


• Development of methodologies for deriving information from satellite, climate and other geospatial data
• Developing together with your team members (Data Scientists, Software Developers and DevOps Engineers) highly efficient data analytics workflows for the derivation of spatial data sets in raster and vector format based on satellite data and represent these to stakeholders such as project managers and customers
• Evaluating and testing of new technologies and assessing them in terms of their benefit for the company

Core requirements - there is no way around it:


• A master’s degree in Science or Engineering, such as Geoinformatics, Remote Sensing, Computer Science, Data Science or similar
• At least two years of professional experience in developing methods and software for the exploration of geographic raster and vector data
• Profound experience with remote sensing and geodata
• Knowledge of ML and DL methods for regression analysis, image segmentation, image classification and object detection
• Extensive knowledge and experience with Python
• Profound experience with software development tools like Git, PyCharm or VSCode
• Fluency in English (at least level C1 according to the CEFR)
• Ability to work in a cross functional team with a broad variety of technical skills within an open and creative work environment

Desirable and advantageous, but not a prerequisite:


• Knowledge about GIS software such as QGIS, SNAP
• Familiarity with databases preferably PostgreSQL
• Experience with cloud development and CI/CD (Docker, K8s, Airflow, Jenkins)
• Experience with WSL and basic Linux commands

What we offer you:


• Content-wise diverse, technically demanding and responsible tasks in one of Europe’s leading geo-information companies
• Comprehensive support in familiarising yourself with your professional role
• Training and development – because your experience and knowledge count
• A respectful, friendly and modern project working environment in a multi-national team of committed colleagues and a leadership style based on trust
• Flexible working hours and the opportunity to work from home within the framework of our regulations
• Workation: temporary work from abroad depending on individual and legal requirements
• Contribution to the Deutschland-Ticket (job ticket)
• An attractive location with perfect public transport connections and great options for outdoor and recreational activities in the direct vicinity
• Various additional benefits, e.g. company pension scheme (optional), travel health insurance (worldwide), occupational health management, and much more

Please note that:


Only applicants with a German work permit and with relevant experience in the field of remote sensing can be considered.

Have we aroused your curiosity about this position?


Then we would be delighted to receiving your application. Please send a cover letter and CV and any useful supporting documents, along with your (gross) salary expectations and your earliest possible starting date to recruiting@gaf.de.
Please state „Geospatial Data Scientist“ as the subject.
Apply

Contact:


Recruiting-Team
recruiting@gaf.de
Tel.: +49 89 12 15 28-0
Arnulfstr. 199 • 80634 München • https://www.gaf.de

22 de septiembre de 2024

Consultor en Análisis de Imágenes Satelitales para Restauración de Ecosistemas en Europa

Oferta compartida por Cristina


Remote Sensing Analysis of Landscape Rewilding Metrics, Phase 1 

Context 
In 2023, Rewilding Europe (RE) developed an ecological impact monitoring framework to align and enhance the monitoring efforts across its 10 rewilding landscapes. A detailed cost-benefit analysis was conducted to identify the most effective and scalable metrics and methods for monitoring the diverse natural processes, ecosystems, and species involved. 
Given the scale of RE's initiatives, the anticipated geographic extent of ecological changes, and the need for cost-efficient monitoring, RE determined that remote sensing via satellite imagery is the most suitable method for tracking some of the key metrics over time. These metrics relate to the rewilding of forests, peatlands, rivers, and natural grazing dynamics. With feasibility and cost-effectiveness in mind, RE plans to use freely available remote sensing products commonly used by public and private sectors for ecosystem change monitoring. This approach will help RE generate the necessary data and establish workflows to independently derive these metrics in the future. This phase will also guide further phases by identifying any needed workflow adjustments. 
A preliminary assessment was conducted to select the most appropriate datasets for each metric, which will serve as the foundation for this assignment (see Annex 1). 

Objectives 
The objectives of this assignment are to: 
1. Review RE's preliminary assessment of data sources to confirm whether they are the latest market-leading, freely available remote sensing products. If not, suggest more suitable alternatives. 
2. For each data source and metric, acquire datasets, develop data processing, analysis, and visualization workflows and document them in RE's monitoring protocol format 
3. For each data source and metric, implement the developed workflows to derive results for the selected metrics at the chosen sites and scales and create visualizations. 

Scope of Work 
The scope of work for this consultancy is broken down according to the objectives above. Please refer to Annex 1 for details on the metrics to be measured, scales, as well as preliminary list of data sources to be evaluated and/or used. The consultant is expected to undertake the following key tasks: 

Review RE's Preliminary Assessment of Data Sources: 
• Benchmark against current standards: Compare the data sources with widely used public remote sensing products from NASA and ESA. Ensure they effectively track metric changes over time and list NGOs and businesses using these products. 
• Identify gaps and recommend alternatives: Highlight any outdated sources, suggest better options that meet current standards, and ensure they are regularly updated and freely available. Make a final choice of data sources, per metric and explain rationale 

Data acquisition, processing and documentation: 
• Source appropriate data sources from the data provider using scripts whenever possible, otherwise documenting the process in detail. 
• Document choice of methodology, including data processing, analysis, and visualization workflow following RE’s monitoring protocol template 2 
• Create scripts that will allow RE to repeat the work done in this consultancy in the future to add new data points in time 

Implement the developed workflows to derive results and visualizations: 
• Calculate the metrics at each of the sites and scales, as per Annex 1 
• Create examples of how change over time for each metric can be visualized through maps and/or summarized in figures. Ideally this is done in a dashboard format. 

Deliverables 
The consultant is responsible for providing the following deliverables: 
1. Evaluation Report: Review of RE's preliminary data sources assessment, benchmarking with current standards, explaining the rationale for the final choices 
2. Data Package: All selected data sources uploaded to our data repository, organized, and made accessible. 
3. Methodology Documentation (i.e., Monitoring Protocols): Detailed documentation of methodologies per metric, including pre-processing steps. Use of RE’s monitoring protocol template and well commented scripts is a must. 
4. Metric Results Report: Results of the derived metrics, using the chosen data sources and methodologies.
5. Visualization Dashboard: Create maps, figures, and an interactive dashboard to display changes over time for each metric for each landscape. 

Payment Schedule 
The payment schedule for this consultancy will be 30% upon signing the contract, 30% upon completion and approval of deliverables 1, 2 and 3 and 40% at the end of the assignment upon approval of the remaining deliverables. 

Qualifications, Skills and Experience 
• Qualifications – Advanced degree (M.Sc. or Ph.D.) in remote sensing, geospatial science, environmental science, or a related field, with relevant professional certification in remote sensing or GIS (e.g., GISP, GIS Professional). 
• Relevant Experience - At least 5 years of experience in remote sensing, with a focus on ecological or environmental monitoring; Demonstrated experience with similar projects focused on automating data acquisition, processing, analysis, and visualization, particularly in rewilding or conservation contexts; Ability to handle large datasets and ensure cost-effective solutions. 
• Remote Sensing and Satellite Imagery - Expertise in using best practices in remote sensing to access, process, analyze, and visualize publicly available satellite imagery. 
• Proficiency in Google Earth Engine, Python, R, or other open-source platforms. 
• Proficiency and access to ArcGIS Pro, ArcGIS Online, and ArcGIS Dashboards 
• Programming and Scripting - Experience with creating scripts for automated workflows.
• Visualizations - Skills in visualizing and presenting data, including creating maps and dashboards (preferably in ArcGIS Dashboards or PowerBI); Ability to summarize complex data in clear, accessible formats. 

Timeline 
This assignment will start on October 25th and will be completed within a six-month period. 

Proposal Details 
Applicants are requested to submit a proposal (4-6 pages) that includes the following sections: • Understanding of the Assignment - Brief overview of your understanding of Rewilding Europe's objectives, key challenges, and the specific tasks outlined in the ToR. • Approach and Methodology - Outline your proposed approach and methodology to achieve the objectives. Include a detailed work plan with timelines, key milestones, and the tools/technologies you will use. • Qualifications and Experience: Outline your team’s composition, including roles and responsibilities. Highlight relevant experience with similar projects, especially in remote sensing and ecological monitoring. Attach resumes/CVs of key team members and provide examples of a dashboard and maps your team has created. • Budget Estimate - Provide a budget breakdown by task and deliverable, including all anticipated costs. Include a brief justification for the proposed budget. • Timeline and Deliverables - Present a project timeline with key milestones and delivery dates. Ensure alignment with the assignment’s objectives and scope. • Risk Management - Identify potential risks associated with the project and suggest mitigation strategies. Propose contingency plans for challenges that may arise. • References and Supporting Documents - Provide references from previous clients on similar projects. Include any additional supporting documents, such as certifications or previous reports. Guidance for budgeting: While this Request for Expression of Interest does not specify a fixed budget, we encourage candidates to provide a preliminary budget estimate based on the scope and objectives outlined in this document. Please consider the following when preparing your response: • Project Scope and Complexity: The proposed budget should reflect the scale and complexity of the tasks described, including the expertise required and the anticipated time commitment. • Cost-Effectiveness: We are seeking a balance between cost efficiency and high-quality outcomes. Proposals should demonstrate how the proposed budget aligns with the value delivered. • Funding Constraints: While there are no specific budgetary limits disclosed at this stage, respondents should be mindful that cost-effectiveness will be a key consideration during the selection process. • Detailed budget breakdowns: We welcome this as part of your submission, which will help us assess the financial feasibility of your proposed approach. 

How to Apply 
Interested candidates should submit the following information: 
• A cover letter outlining their suitability for the role and relevant experience 
• CV 
• Examples of previous work related to remote sensing and environmental monitoring. Ideally at least one map, one figure showing change over time, and one dashboard. 
• Proposal (4-6 pages) • Applications should be sent via email to hr@rewildingeurope.com with “Remote Sensing Consultancy” in the subject line, no later than 27th September, 5:00 pm CET. 
• Shortlisted candidates will be contacted on 1st week of October and interviews will be held shortly after that.

27 de julio de 2024

Trabaja como experto en teledetección mapeando oceános con drones

Oferta compartida por Cristina

Lead Surveyor

About Us

At Saildrone, we sustainably explore, map, and monitor the oceans to understand, protect, and preserve our world. We provide real-time access to critical data from any ocean on earth, 24/7/365, and use proprietary software applications to transform that data into actionable insights and intelligence. Our fleet of uncrewed surface vehicles (USVs), powered by renewable wind and solar power, have a minimal carbon footprint and operate without the need for a crewed support vessel.

Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking. As a result of our work, we have been included on TIME's List of the 100 Most Influential Companies in 2024, Fast Company’s list of the "World’s Most Innovative Companies for 2022," and earned the Ocean Awards’ Innovation Award, presented by the Blue Marine Foundation. Saildrone's hurricane mission was included as one of The New York Times' "Top 21 Things that happened (for the first time) in 2021" and Popular Science's "100 Greatest Innovations of 2021," and entered into the Guinness Book of World Records for recording the "highest windspeed recorded by a USV."

We are based in Alameda, CA, with offices in Washington DC and St. Petersburg, FL, and operate our missions worldwide. Saildrone is backed by top-tier investors in the frontier tech and sustainability sectors, including Social Capital, Capricorn, Lux Capital, BOND Capital, and Emerson Collective.

This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. You will be an integral part of a high-performing multi-disciplinary team that delivers high impact for humanity and future generations.

The Role

Saildrone is seeking an experienced, certified hydrographer responsible for the management of all tasks for the assigned survey(s). Supervises all team members in the performance of their duties including data QA/QC, equipment setup/calibration, data acquisition, data processing, equipment maintenance, and production of final deliverables/report. The Lead Surveyor is the final certifying signature that the survey has been completed according to the specifications set out in the contract. As a Lead Surveyor, your primary responsibility is to provide direct oversight of bathymetric surveys from inception to completion, ensuring mission success. This includes survey line planning, mission preparation, mission execution, training of survey watch-standers, documentation of survey specifications and standard operating procedures and successful completion of surveys. Additional responsibilities include but are not limited to the following:

  • Working with Bathymetry Operations Manager, Bathymetry Technical Program Manager, and Bathymetry Data Manager to ensure mission success
  • Working within a dynamic technology development company to further bathymetric capabilities and refrain survey practices with uncrewed Saildrone systems
  • Coordinating and directing contracted survey watch-standers in their roles and responsibilities.
  • Communicating with customers and applicable Saildrone personnel regarding the status of the survey
  • Troubleshooting and resolving acquisition related issues to ensure schedules are maintained.
  • Serving as a member of a rotating On-Call team to support 24/7 survey operational success
  • Providing daily survey updates in the Saildrone Mission Log for the team and customers
  • Serving as a member of a collaborative team for development and testing of new vehicles, sensors and procedures
  • Ensure compliance with company standards, industry standards, and local regulations, while encouraging continuous improvement of the company’s processes and procedures
  • Keeping up to date on latest IHO and national data standards and survey procedures

Required Skills and Experience:

  • Bachelor’s degree or higher in Hydrography, Oceanography, Geomatics, Remote Sensing or related discipline
  • 5 or more years experience leading hydrographic/bathymetric survey teams as lead surveyor, party chief, or project manager
  • Familiarity with Kongsberg multibeam systems and Seafloor Information System
  • Candidate is detail-oriented with a disciplined approach to communications, processes, and projects.

Desired Skills And Experience

  • Category A Hydrographer Certification
  • NSPS-THSOA Certified Hydrographer
  • Experience using uncrewed surface vehicles or other autonomous systems for survey operations

Physical Requirements

  • Work is performed on a computer and requires the ability to operate a keyboard and other peripheral devices.
  • Working hours may vary from project to project, including occasional weekend and overnight work

Location: This position is in St. Petersburg, FL (Hybrid – onsite 3 days per week minimum).

Benefits:

  • Medical, dental and vision plans for you and your dependents.
  • Short and relaxing ferry ride from the Ferry Building for SF residents
  • Enhanced Parental Leave Programs
  • Competitive benefits including excellent medical, life insurance, 401k plan

Benefits:


A reasonable estimate of the current range is $75,200-$97,700 annually.

23 de julio de 2024

Oportunidad muy chula como experto en GIS y teledetección para trabajar con drones en varios proyectos de ecología forestal

 Oferta compartida por Cristina

🔍 Role: GIS and Remote Sensing Expert
📅 Project Duration: August 1, 2024 - June 30, 2026
📍 Location: Institute of Forest Ecology (SAS), Zvolen, Slovakia
💶 Net Salary: Approx. 1800 Euro/month
About the Projects:
FORSOMICS: Study the mechanism of conifer resistance to bark beetles, from gene to tree level, under changing climate conditions.
RESDiNET: Contribute to a network focusing on novel remote sensing technologies in forest disturbance ecology.
Why Join?
🌟 Small City Charm: Enjoy a peaceful and friendly environment.
🤝 Great Colleagues: Work with a supportive and collaborative team.
🚀 Endless Opportunities: Grow your skills and advance your career.
Preferred Skills:
Experience with LIDAR, hyperspectral sensors, and spatial data.
Ability to operate drones and conduct fieldwork in mountainous conditions.
Forestry background and scientific publication skills.
Valid driving license.
Interested? Even if your skills don't match 100%, we encourage you to apply! Contact Rastislav Jakuš at rasti.jakus@gmail.com.
Embark on this journey with us and make a significant impact in forest ecology research! 🌲✨

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