Contract - Geospatial modeler

RMS California

East Bay, CA (Newark, CA, United States)

Description

Geospatial Modeler (Remote Sensing and Geospatial Analytics). Position: 14490.

In this role you will be working in a fast paced environment with a multi-disciplinary team of catastrophe modelers, analytical professionals, remote sensing scientistis and geospatial modelrers developing exposure models for earthquakes, hurricanes, floods and other peril for different geographies across the globe. The candidate must be detail-oriented with a positive attitude and with excellent work ethic. Strong computer skills and a capacity to learn new emerging technologies is a must.

Key Accountabilities & Deliverables:

Design and implement required procedures (classification, segmentation, etc.) and develop data products related to Remote Sensing and GIS projects.Identify suitable baseline and historical imagery sources from both internal and external sources.Manage or analyze data from remote sensing platforms to obtain meaningful classification and segmentation results. This includes:Research, collect, analyze and consolidate available datasets (Land Use and Land Cover/LULC, building footprints, industrial facility polygons, road networks etc.)Analyze remotely sensed data from airborne, satellites, or ground-based platforms, using statistical analysis software, image processing software, or GIS software.Capture and delineate building footprints using Remote Sensing technologyInterpretation of building attributes (occupancy, year of built, number of floors etc.) using photo interpretation techniques and diversified internet resourcesCreate maps and graphs for presentations, technical papers, or reportsCompilation of metadata and other documentation.

PhD - Remote sensing

Department of Geography, University of Calgary

Calgary, Canada

Deadline date: January 26, 2014

Description

The Foothills Facility for Remote Sensing and GIScience (www.ucalgary.ca/f3gisci), a research lab within the Department of Geography, University of Calgary, is seeking MSc and PhD candidates for several fully‐funded positions starting in the Fall of 2014.  

PostDoc - Biogeochemistry and salinity remote sensing

Institut Pierre Simon Laplace

Laboratoire d' Oceanographie et du Climate

Paris, France

Description

The Laboratoire d'Océanographie et du Climat - Expérimentation et Approches Numériques (LOCEAN)/ Institut Pierre Simon Laplace (IPSL) invites applications for a 15 months, possibly renewable, postdoctoral position. The position is opened in the frame of the EU FP7 Carbochange (carbochange.b.uib.no) and of the European Space Agency SMOS+SOS (www.smos-sos.org) projects. The successful candidate will join a LOCEAN team which has a lead expertise in salinity remote sensing and air-sea CO2 fluxes. The research project aims at demonstrating the contribution of new satellite sea surface salinity, SSS, to other existing remotely sensed products (sea surface temperature, ocean colour, altimetry) for improving regional air-sea CO2 fluxes estimates.

The SMOS (Soil Moisture and Ocean Salinity) mission launched in november 2009 has demonstrated the capability of the satellite L-band radiometry to sense SSS. Almost 4 years of SMOS SSS data are now available. The Aquarius satellite mission delivers SSS since more than 2 years. At 10 days-100x100km2 scale, the precision of the SMOS and Aquarius SSS is on the order of 0.2-0.3 in tropical and subtropical regions.

The estimate of the air-sea CO2 flux at regional scale, based on in situ measurements, is challenging due to the sparse measurements of the CO2 partial pressure at the ocean surface, pCO2. Hence the reliability of the estimated fluxes strongly relies on the methods used to extrapolate the in-situ pCO2 measurements. Satellite sea surface temperature and chlorophyll have been widely used in the past in such methods, as they contain information about physical and biological processes driving pCO2 variability. On another hand, several studies have shown that SSS brings complementary information, that could, in particular, help to understand and identify the processes which control the pCO2 signatures associated with various water masses and biogeochemical provinces. In this project, we propose to use the satellite SSS data, in conjunction with in situ pCO2 (in particular but not exclusively the ones available in the SOCAT data base), in regions well and accurately sampled by SMOS and by ship pCO2, for 1) interpreting the observed pCO2 variability, 2) developing new methodology for extrapolating pCO2 and 3) demonstrating the potential of new satellite SSS at improving air-sea CO2 flux estimates at regional scale.

Requirements 

Applicants should have a background in ocean biogeochemistry, and preferentially in ocean remote sensing. They should have significant experience in data processing.

More information and applications

PostDoc - Lectureships in geoInformatics

University of St Andrews

United Kingdom

Closing date: January 17th 2014

Description

Researchers in the Centre for GeoInformatics in the School of Geography and Geosciences at the University of St Andrews have been selected for a prestigious award under the Q-Step Quantitative Methods Programme funded by a combination of the Nuffield Foundation and the ESRC. This programme will employ two new lecturers: in GeoInformatics, specialisation Remote Sensing (post A) and in Spatio-temporal analysis, specialization Spatial statistics (post B) to add substantial new courses to our existing undergraduate curriculum and help deliver a new MSc in GeoInformatics. The successful candidates will also contribute to the successful development of the Centre for GeoInformatics; to seek external funding for research and to engage in the recruitment and supervision of research postgraduates; to contribute effectively to the intellectual environment of the School; to engage in internationally recognized, peer-reviewed publication of original research; and to work closely with Professor Stewart Fotheringham and other CGI members.  

More information and applications

PhD - Computing-intensive landscape ecology applications

McGill University

Montreal, Canada

Deadline date: 15/12/2013

Description

The Computational Landscape Ecology group at McGill University is seeking MS and PhD students interested in computing-intensive landscape ecology applications. Students will join a dynamic and growing lab of graduate and undergraduate students working on a wide range of landscape ecology projects that demand a heavy component of computing power, including:

• Forest connectivity estimation and validation at regional and continental scales, using Circuitscape.
• Regional estimation of lake carbon content with remote sensing, GIS, and Bayesian stats in 10**6 lakes in Quebec.
• Use of Google Earth Engine for estimation of landscape-scale patterns across very large areas.
• Spatial and statistical patterns of landscape metrics at continental and regional scales.

Requirements

Successful candidates will have strong to moderate programming experience, ideally in R or Python or a similar language like Matlab or Java. Depending on the project, specific experience with certain tools will be of especially high value, including: remote sensing, GIS, simulation modeling, data mining techniques in very large data sets and coursework in statistics. Canadian students who would be eligible for federal and provincial scholarships are given high priority. 

More information and applications

Contract - Tenure Track Assistant Professor (GIS/Remote Sensing/Modeling Applications in Environmental Hydrology)

California State University

Los Angeles, United States

Application deadline: December 15, 2013.

Description

Starting date: Fall, 2014.

Duties: The successful applicant is expected to develop an active program of research and teaching in areas of specialization and to work with water resources and other departmental faculty to strengthen existing graduate programs in hydrology and undergraduate training in geology, geography, hydrology, and urban planning. Specific duties will include: teaching at the undergraduate and graduate levels, developing water resources and environmental science curriculum, maintaining an active research program, participating in University service, and advising undergraduate and graduate students.

Requirements

ABD or a Ph.D. in Geology, Geography, Environmental Science, Soil Science, or a closely related discipline. A Ph.D. from an accredited institution of higher education is required for retention after the initial two year appointment. Candidates should provide record of or potential for scholarly activity involving students whenever possible, as well as the demonstrated potential for effective teaching using a variety of methodologies. Candidates should also demonstrate an ability or interest in teaching in a multicultural, multiethnic campus.

Desired requirements: We are seeking candidates with broad training in Environmental Hydrology using GIS/Remote Sensing/Models who will be able to expand our course offerings in GIS/Remote Sensing and Hydrological/Environmental applications. Expertise in one or more of the following areas will be highly desired and befitting our strategic growth over the next five years: geospatial analyses, remote sensing, groundwater and/or surface water modeling, soil water/vegetative transfer modeling. Proficiency in oral and written communication is required. The ability to collect and process field data for ground-truthing remote sensing is desirable. Climatologists with research focus on hydrological cycles, water resources, etc are considered.

More information and applications

Technical/scientific support - Ecosystem, climate modelling and remote sensing

Institute for Environment and Sustainability, European Commission, DG Joint Research Centre

Ispra, Italy

Deadline date: 05/11/2013

Description

The JRC/IES Climate Risk Management Unit is seeking personnel for technical/scientific support in the field of ecosystem/climate modelling and remote sensing.

The activity will take place trough a Framework contract with an external company and is planned for 1 year, renewable.

Requirements

Candidates should have:

- Knowledge of both low and high-level programming languages (e.g. Fortran, C, R, IDL, etc.).

- Expertise in remote sensing and/or ecosystem/climate modelling.

- Excellent knowledge of English.

More information and applications

PostDoc - Specialization in remote sensing

The Helmholtz-Zentrum Dresden - Rossendorf e. V. (HZDR)

Dresden, Germany

Deadline date: 15/11/2013

Description

The Helmholtz-Zentrum Dresden - Rossendorf e. V. (HZDR) is a research centre with more than 1,000 employees and is a member of the Helmholtz Association (HGF). The scientific key aspects are in the field of matter, energy and health. The research is performed in eight scientific institutes which cooperate inside the HGF as well as the universities, extra-faculty institutes and the industry. Further information can be found at http://www.hzdr.de.

Focus of research at the Helmholtz Institute Freiberg for Resource Technology is the development of innovative technologies to increase energy and resource efficiency in the utilization of primary (e.g. ores) und secondary (anthropogenic) raw materials.

The Helmholtz Institute Freiberg for Resource Technology invites applications for a Postdoctoral researcher (m/f) with specialization in remote sensing beginning 01.01.2014 for a period of two years.

We seek to appoint a specialist in remote sensing to step up the newly created remote sensing group at the Helmholtz Institute Freiberg for Resource Technology (HIF). The main aim of the remote sensing group is mineral exploration but the quantification of vegetation physical properties and surface processes is also envisaged. Expertise in hyperspectral data processing is explicitly recommended for the position but not exclusively.

The strength of the institute lies in the multidisciplinarity of our research activities. Therefore, the ability and the willingness of the candidates to work with colleagues from a large range of disciplines is indispensable. We invite young and flexible researchers keen to actively collaborate with other team members and familiar with the quantitative analysis of geospatial data to apply. The working languages of HIF are English and German. Candidates must be able to work effectively in English.

Tasks:

-Application of multi-source remote sensing methods for mineral exploration, the analysis of surface processes and vegetation change detection.

-Acquisition of and participation in third party funding projects, publications, scientific communications and report writing.

Requirements

-PhD in remote sensing or related field.

-Extensive knowledge of multi-source remote sensing processing.

-Sound understanding of quantitative methods.

-Experience in the acquisition of third-party funding.

-Interest in collaborative work within a multi-disciplinary international team.

-Good organization and communication skills.

More information and applications

PhD - Atmospheric Remote Sensing

University of Bern

Bern, Switzerland

Description

The Institute of Applied Physics (IAP, University of Bern) has an open PhD student position for monitoring, analysis and exploration of atmospheric composition change, radiative transfer and dynamical processes. The IAP is part of the Oeschger Centre for Climate Change Research and contributes to the Swiss Global Atmosphere Watch (GAW) programme and the Network for the Detection of Atmospheric Composition Change (NDACC). The IAP has an excellent reputation in atmospheric remote sensing and routinely operates ground-based microwave radiometers for long-term monitoring of ozone and water vapour in the lower and middle atmosphere. You will retrieve and interpret vertical profiles of stratospheric and mesospheric ozone. You will take care on the ozone microwave radiometer. The PhD thesis will focus on the spatio-temporal variability of the ozone distribution. Dependencies between ozone, water vapour, temperature, dynamics, and photochemistry will be analysed on time scales from 10 minutes to 20 years. Coupling of troposphere, stratosphere and mesosphere by radiation, waves, atmospheric circulation and composition will be explored by means of observations and simulations. Cross-validation studies between ground stations, satellites and chemistry-climate models are possible as well as trend analysis of long-term series of stratospheric ozone. 

Requirements

These versatile tasks require a PhD student with strong interest in:

Microwave remote sensing and atmospheric processes 

Programming, data analysis and retrieval techniques 

Time series analysis 

Writing and reading of scientifc publications. 

Further you should have a Master or Diploma degree in physics, atmospheric sciences or a related field. You like international co-operations and team work.

Oceanography Expert

VisionSpace Technologies

Darmstadt, Germany

Description

Oceanography Expert

Requirements

As a minimum, the consultant shall have a university degree (or equivalent) in Oceanography, remote sensing sciences or equivalent, with the experience and skills specified hereafter. Experience and Skills (Mandatory):

•    Experience in the collection, formulation and documentation of user and technical requirements for space based applications in Oceanography and/or Marine Meteorology;

•    Knowledge of the operational applications in Oceanography and/or Marine Meteorology, their benefits, their current set-ups and state of the art and related future expectations.

Experience in one or more of the following will be considered as an advantage:

•    Knowledge of requirements management processes and standards;

•    Knowledge of requirements management tools, e.g. DOORS.

Personal skills and Working Language:

The consultant shall have excellent personal communication skills (oral and writing) to interact e.g. with the Marine data science/user/producer Community and with EUMETSAT teams responsible for the tasks.

The consultant shall be a team worker.

The working language for this position is English and therefore the consultant must be able to work effectively in this language.

All applicants must hold a current valid work permit for Germany or be EU nationals.

PostDoc - Ocean remote sensing

University of Iceland

Reykjavik, Iceland

 

Description

 

A postdoctoral position is available in the MARICE group at the University of Iceland in collaboration with the Marine Research Institute (www.marice.is). The postdoc will be linked with several projects including the project SEAMAN – Spatially resolved Ecosystem models and their Application to Marine management, funded by the SeasEra as well as the project Marsýn – Hydrodynamic information system for the north Atlantic, funded by the Icelandic Technological Development Fund.

 

Requirements

 

A PhD with a strong background in ecological modelling and use of satellite data; excellent writing skills and evidence of developing publications based on individual research. Competency in programming in R and experience with data management (for example MySQL) would be advantageous, but is not essential.

 

PhD - Remote sensing

Virginia Tech

Virginia, United States

 

Description

 

PhD Fellowships in Remote Sensing are available immediately in Virginia Tech's new Interdisciplinary Graduate Program. Remote Sensing is an interdisciplinary field which is evolving rapidly as more and more techniques are developed and implemented to address a wide range of scientific and societal problems. Virginia Tech's new remote sensing graduate curriculum spans multiple departments, including courses in electrical engineering, computer engineering, forestry, geography, history, economics, computer science, and statistics. Research opportunities exist within the Center for Space Science and Engineering Research (Space@VT) and the Center for Environmental Applications of Remote Sensing (CEARS).

 

More information and applications

 

Interested applicants are encouraged to visit our website (http://rsigep.frec.vt.edu/) to learn more about specific research opportunities, the application process, and to communicate with prospective advisors. General questions can be directed to Dr. Joseph Baker (jo.baker@vt.edu) or Dr. Valerie Thomas (thomasv@vt.edu).

Optical sensor technology for vegetation monitoring

Institute for Applied Remote Sensing

Bolzano, Italy

Description

The Institute for Applied Remote Sensing at the European Academy Bolzano (EURAC) is looking for an Expert in optical sensor technology for vegetation monitoring. Task:

The candidate will be responsible for ground based and UAV (Unmanned Aerial Vehicle) based field measurements of vegetation parameters and other environmental parameters (soil moisture, weather data) with a focus on agriculture areas (grasslands, orchards) and forest.

Activities:

Concept and setup (choice of the best sensors, etc)

UAV: planning and execution of flight campaigns, optical data acquisition, geometric correction

Field spectrometer campaigns

Installation of ground based sensor networks

Technical maintenance of Hardware (UAV, Camera, field spectrometer, ground sensors) and Software

Data quality check, data pre-processing

Support the integrated analysis of sensor data together with data from satellite remote sensing and other data sources

Ocean Colour Scientist

Plymouth Marine Laboratory

Plymouth, UK

Description

Plymouth Marine Laboratory (PML) is seeking to appoint an Ocean Colour Scientist to work on the ESA Climate Change Initiative project. PML is recognised internationally as a dynamic, highly innovative, independent and impartial deliverer of scientific research and advice on the marine environment. PML is looking for an enthusiastic and highly motivated Earth Observation scientist to work on the European Space Agency funded Ocean Colour CCI project to improve the error characteristics of global ocean colour (OC) data for use in climate studies. The appointment is a full time permanent position. If successful you will: research, develop and implement improved in-water, and possibly atmospheric correction, algorithms for ocean colour retrieval; assist with production of a high quality global OC time series from MERIS, MODIS, SeaWiFS and Sentinel 3 OLCI; compare these data with existing OC products; investigate links with other CCI projects (such as sea-surface temperature CCI); investigate other ocean colour sensors such as the NOAA VIIRS and ISRO OCM-2; and interact with the international EO and climate communities.

Requirements

You will have ideally a PhD or 3+ years post-graduate research experience in a numerate scientific discipline and experience in: EO data processing and handling; or quantitative marine bio-optical theory, marine sciences or biogeochemistry; or ocean colour remote sensing. Familiarity with SeaDAS or BEAM would be beneficial but not essential. You should possess proven experience and skills in computer programming in C, C++, IDL, Java or Perl preferably in a Linux environment.

PhD - Hyperspectral Remote Sensing of Inland and Coastal Waters

Helmholtz-Zentrum Geesthacht

Geesthacht, Germany.

Description

The Helmholtz-Zentrum Geesthacht, near Hamburg, and in Teltow, near Berlin, conducts materials and coastal research. You can find more information at www.hzg.de. The Institute of Coastal Research at the Helmholtz-Zentrum Geesthacht is investigating the natural physical and biogeochemical dynamics of the coastal ocean and the impact of anthropogenic influences on the natural state. We search for a qualified candidate to work on optical properties of water constituents to use hyperspectral ocean colour remote sensing data from satellites and airplanes to investigate water quality parameters in coastal and inland waters in the framework of the ENMAP-project (www.enmap.org). The Helmholtz-Zentrum Geesthacht (HZG) invites applications for a 3-year PhD position (m/f) in the area of "Hyperspectral Remote Sensing of Inland and Coastal Waters" to prepare the German ENMAP mission. Your tasks include:

- hyperspectral measurements of inherent optical properties of different water constituents, like phytoplankton, minerals, and dissolved matter

- mathematical/spectral analysis to differentiate optical components based on the above measurements

- optical instrumentation, from measurements of light absorption and scattering to hyperspectral cameras

- participation and evaluation of in situ and aerial observations

- work as an integrative part of a motivated multidisciplinary team within the institute and with external academic partners

PhD - Air Quality Measurements from Space & the Ground

Delft University of Technology

Delft, The Netherlands

Description

Nitrogen dioxide in the lower atmosphere is an indicator for air pollution. It can be measured from space, e.g. by the Ozone Monitoring Instrument (OMI) on board EOS-AURA. These satellite measurements can be used to study worldwide changes in air quality. The uncertainties in nitrogen dioxide concentrations derived from satellite measurements are still very large. The PhD student will focus on quantification, understanding and decreasing these uncertainties, using remotely sensed measurements from the ground and in-situ measurement from weather balloons. Atmospheric models will be used to couple these measurements and study their mutual differences. The PhD student will mostly work with data collected during several measurement campaigns in Europe, the USA, and China between 2007 and 2013. More data will be collected during one or two intensive measurement campaigns in the course of the project. he PhD student will be stationed at KNMI in De Bilt but will fully participate in the PhD programme of TUD.

Requirements

As a potential candidate, you should have a Master degree in (astro-) physics, meteorology, chemistry, remote sensing or a closely related discipline. You should have good communication skills, be fluent in English, and preferably also in Dutch. You should have strong analytical qualities, a high level of motivation and good learning skills. In particular, we will assess your potential for quickly developing scientific writing skills and self-directing skills. You preferably have experience with remote sensing and radiative transfer. Good programming skills in FORTRAN, C, C++ or Python, are an advantage.

Programador C++ y Python

Centre for Sustainable Forestry and Climate Change

Edimburgo, UK

Descripción

Buscamos un programador en C++ y Python sobre QGIS y SEXTANTE para participar en un proyecto europeo llamado Thermolidar (www.thermolidar.com).  Tenemos que crear unas cuantas herramientas operativas para procesar datos LiDAR y Térmico aerotransportado. Algunas librerías existen en C++, otras se pueden incorporar de SEXTANTE, Fusion, etc...Todas tienen que estar unidas en una aplicación para QGIS. 

Requisitos

Interesante un buen conocimiento de formatos LAS, Geotiff y Shapefile. 

Imprescindible buen conocimiento de inglés

PostDoc - Geovisual Analytics and visual temporal reasoning

The University of Twente.

The Netherlands

 

Description

 

We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which drives change, innovation and progress in society. The University of Twente is the only campus university in the Netherlands; divided over six faculties we provide more than fifty educational programmes. The University of Twente has a strong focus on personal development and talented researchers are given scope for carrying out pioneering research. The Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente provides international postgraduate education, research and project services in the field of geo-information science and earth observation using remote sensing and GIS. The aim of ITC's activities is the international exchange of knowledge, focusing on capacity building and institutional development in developing countries and emerging economies. The ITC Department of Geo-Information Processing addresses and studies the technological and methodological aspects of geo-information processing and infrastructure to develop technology oriented concepts for the new geo-information society and solve complex application problems. The faculty ITC invites qualified persons to apply for the Postdoc position of Geovisual Analytics and visual temporal reasoning. The demand for geo-information products in both the public and private sectors continues to grow and diversify almost exponentially. Alongside with this, there is also an increasing demand for geo-information services and knowledge on how to best use geo-information, so that informed decision-making can occur. The Department of Geo-Information Processing focuses on methods and techniques to derive meaning from and insight in the diversity of ever increasing data collections and products. In particular, part of the research of the department is driven by the questions ‘How to offer a diversity of visual representations that support the user during any phase of the spatio-temporal data handling process?’, and ‘How can these visualizations help to understand the information displayed, improve insight, and support reasoning and decision making?’ A third question that links both previous questions is 'Does it work?'. The activities of the Post-doc should focus on the

temporal component of the above questions. In other words, how can a set of novel temporal representations be designed, implemented and used in a particular context, such that it visually supports users in their temporal reasoning process? The post doc should also investigate, and implement, analytical requirements for such temporal representations so that he/she can push forward the scientific boundary of geovisual analytics. You conduct and guide research and develop research cooperation, both inside and outside of the Faculty ITC, thereby contributing to the development of the departmental fields of expertise. You co-supervise PhD students working on a wide range of visual and analytical topics. You support the development and execution of educational tasks by integrating cutting edge research results in the academic curriculum of the department.

 

PhD - Volunteered geographical information for public health applications

The University of Twente.

The Netherlands

 

Description

 

We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which drives change, innovation and progress in society. The University of Twente is the only campus university in the Netherlands; divided over six faculties we provide more than fifty educational programmes. The University of Twente has a strong focus on personal development and talented researchers are given scope for carrying out pioneering research. The Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente provides international postgraduate education, research and project services in the field of geo-information science and earth observation using remote sensing and GIS. The aim of ITC's activities is the international exchange of knowledge, focusing on capacity building and institutional development in developing countries and emerging economies. The ITC Department of Geo-Information Processing addresses and studies the technological and methodological aspects of geo-information processing and infrastructure to develop technology oriented concepts for the new geo-information society and solve complex application problems. The faculty ITC invites qualified persons to apply for the PhD/AIO position:

 

Volunteered geographical information for public health applications

 

Information and communication technologies have greatly facilitated the acquisition, online storage and exchange of large amounts of georeferenced data by non-professionals. Activities in this relatively new domain fall in the realm of Volunteered Geographical Information (VGI), as most of the data is processed by volunteers. VGI data is often highly heterogeneous and might be massive – if volunteers get organized to crowd source it for a particular citizen science project. These two characteristics have resulted in limited research efforts to derive new and/or improved geospatial products and knowledge based on VGI. However, such products and knowledge are needed to support informed decision-making and to move towards a true “information society”. This research project thus deals with the development of novel methods and tools to properly visualize and analyze VGI data. As case study, we will focus on the role of VGI data to understand the impact of global environmental changes on public health. In this research project, we propose using geovisual analytics to derive meaning from and insight in the diversity of ever increasing VGI data collections and geo-products that can support public health applications such as the mapping and modeling of the spatial and temporal distribution and seasonality of vector-borne diseases. Geovisual analytics, is a developing discipline that integrates knowledge, methods and techniques from scientific geovisualization, human-computer interaction and spatio-temporal data management and analysis. As stated above, we envisage case studies strongly linked to public health where the integration of formal (GIS layers and remote sensing products) and informal (volunteers observations) datasets is expected.

 

Specialist in Ecosystem Services / Forestry / Agriculture

Ecometrica

Edinburgh, UK

Description

Ecometrica Ltd is recruiting an analyst with expertise in ecosystem services and/or land use and/or forestry and/or agriculture to work as part of a small multi-disciplinary team consisting of land use, GIS and remote sensing experts based in Edinburgh, UK. This position offers a unique and exciting opportunity for an enthusiastic, pro-active candidate with a good understanding of the natural environment and biological processes. You will form part of a dynamic team engaged in land use-related projects. You will also be actively involved in the development of client applications on Ecometrica’s online mapping platform, Our Ecosystem. A basic understanding of GIS is therefore a strong advantage. We are seeking a solution-driven analyst who can translate client needs into a realistic project plan. You should be able to work accurately under pressure, both independently and as part of a multidisciplinary team. Good communication and client-facing skills are important and you will be expected to be able to communicate to a non-technical audience.

Requirements

• Masters degree or similar postgraduate qualification or at least 2 years’ relevant work experience
• Solid understanding of land use/ecology/forestry/agriculture/vegetation science
• Excellent interpersonal and written communication skills
• Proficient computer and software user
• Fluent English language speaker and high quality of written English
• Ability for critical thinking and coherent argument
• Eligible to work in the UK