Are you a student looking to get some work experience? The Quantum Spatial's Portland office is looking for 2 interns. The descriptions are in the links listed below:
Hyperspectral Imagery Intern Technical Intern The Scientific and Technical Advisory Panel to the Global Environment Facility (STAP GEF) is looking to hire someone for a short-term contract to develop a primer on mainstreaming GIS/RS info into GEF projects (related to biodiversity, climate change, land degradation), etc. among other things. The link for the advertisment is here. The closing date is April 7.
https://www.meetup.com/CRR-ASPRS/events/255302114/?rv=ea1_v2&_xtd=gatlbWFpbF9jbGlja9oAJDQwNDY1YTY5LWNiODMtNDI1ZC04NjE0LTQyMjNhM2Q3N2QyNw&_cookie-check=boii8ulr7OLMhA53
Thirsty Third Thursday - October 2018 CRR ASPRS Thursday, October 18, 2018 6:00 PM to 8:00 PM Lucky Lab 915 SE Hawthorne Portland, OR Come join us if you are you interested in… · LiDAR · GIS · UAV · Photogrammetry · Aerial Imagery We welcome all active and inactive members, those who are curious about the society or anyone who simply wants to nerd out on geospatial science. Meet professionals, network and enjoy some Lucky Lab food and drink! https://us-amazon.icims.com/jobs/712889/remote-sensing-scientist/job?width=1090&height=1200&bga=true&needsRedirect=false&jan1offset=330&jun1offset=330
Job Description Are you interested in applying your research experience, science and engineering knowledge, and data science skills to world-changing problems? Are you interested in utilizing remotely sensed information in the development of methods, models and systems for understanding weather event impacts on fulfillment and logistics? If so, then this is the job for you. The Fulfillment Execution Data Science (FEDS) team is responsible for developing tools and models for our fulfillment network to provide analytical-based insights to help improve operational processes. We are looking for motivated scientists with strong modeling and analysis skills to join our team. You will be responsible for utilizing remotely sensed information, in conjunction with ground-based observations, to provide information on weather-related impacts applicable to our business. You will closely work with engineers, business stakeholders, research colleagues, and IT groups in incorporating the essential trade-offs within the models and take an active role in effectively communicating the recommendations to senior management. The qualified candidate will have a proven history of driving critical research and development and developing in-depth analytical understanding of weather impacts to systems. Tools will include understanding of remote sensing physics and the signal processing/statistical modeling of this information to develop real-world measurement products. Basic Qualifications
Preferred Qualifications
BENEFITS
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation https://www.governmentjobs.com/careers/oregon/jobs/2200407/remote-sensing-surveyor-odot18-2667oc
Announcement: ODOT18-2667oc Remote Sensing Surveyor – Professional Land Surveyor 1 Highway Division – Technical Services and Engineering Salem We are recruiting for a remote sensing surveyor to join our Engineering Automation Section – Geometronics Unit in Salem. This position works with the lead remote sensing surveyor to acquire LiDAR scan data and aerial photographs. This person leads a team responsible for preparation of point clouds, mosaics, planimetric/topographic maps, and digital terrain models used in support of transportation improvement projects. We invite members of all diverse communities to join our workforce as we endeavor to best serve Oregonians from every background. ODOT values diversity and inclusion because they are good for Oregon. We believe that by welcoming differences, encouraging new ideas and views, listening to and learning from each other, and providing opportunities for professional enrichment we are better able to serve those around us. We thank you for considering this employment opportunity. Additional Details:
Duties & Responsibilities
Qualifications, Required & Requested SkillsCivil Engineering Specialist 2 Minimum Qualifications (Under-fill Option): A bachelor's degree in civil engineering, geomatics, surveying or transportation-related engineering and two years of civil or transportation-related engineering or surveying experience; OR Five years of civil or transportation-related engineering or surveying experience. One year of this experience must have been independently planning and completing assignments; OR An equivalent combination of education and experience. Professional Land Surveyor 1 Minimum Qualifications: A valid professional land surveyor (PLS) license. Note: If registered in another state, successful applicants will be required to obtain comity within six months of hire. https://www.esri.com/en-us/industries/government/departments/isi-student-contest/overview
Call for Competition We are pleased to announce the ISI (International Statistics Institute) Esri Student Poster Competition 2018/19. Final judging will take place during the ISI World Statistics Congress in Kuala Lumpur, Malaysia, August 18–23, 2019. This competition is sponsored by Esri and ISI. The competition aims to: Promote research - With the integration of statistical and geospatial data, it is important to promote research in topics related to this integration and use of GIS in statistics, including spatial statistics, regression modeling, spatial data management, mapping, visualization and analysis. Encourage spatial thinking - Spatial thinking involves identifying, analyzing, and understanding the location, scale, patterns, and trends of the geographic and temporal relationships among data. We aim to foster the development of geospatial methods and analysis in university statistics programs. Inspire curiosity - Inspire your curiosity about statistical spatial analysis, geographic patterns, and geocomputing. GIS is about uncovering meaning and insights from within data. It provides a way to understand through data exploration, analytics, visualization, and sharing and dissemination. Quantum Spatial (QSI) is interested in bringing on temporary contract workers through our staffing agency for assistance completing projects we have lined up for Fall and Winter 2018. QSI anticipates filling 10-12 full time temporary positions. This is an entry level position with comparable pay for the area. QSI hires a large number of people from this pool to work at QSI as full time Technicians as those positions become available, anyone interested in a career at QSI is encouraged to apply to this position.
Contractors will likely be working on utility line mapping projects classifying LiDAR point clouds. While a basic understanding of LiDAR is required for the position, experience working with LiDAR data and the software program Microstation is not - QSI will train all contractors in our workflows. Candidates with backgrounds in GIS, Engineering, Remote Sensing, or a related field are encouraged to apply. Please submit resumes for this position by email to Alison Percifield at [email protected]. (If the asked who referred you to this opening mention Camille Westlake) Thirsty Third Thursday - August 2018CRR ASPRS
Thursday, August 16, 2018 6:00 PM to 8:00 PM Lucky Lab 915 SE Hawthorne Portland, OR Come join us if you are you interested in… · LiDAR · GIS · UAV · Photogrammetry · Aerial Imagery We welcome all active and inactive members, those who are curious about the society or anyone who simply wants to nerd out on geospatial science. Meet professionals, network and enjoy some Lucky Lab food and drink! https://careersearch.stanford.edu/jobs/remote-sensing-specialist-3371
The Natural Capital Project is a partnership among Stanford University’s Woods Institute for the Environment, University of Minnesota’s Institute on the Environment, The Nature Conservancy, and World Wildlife Fund. We develop tools to model and map the distribution of biodiversity and the flow of multiple ecosystem services (ES) across land- and seascapes. We seek a creative and talented remote-sensing expert for a Geographic Information Systems Specialist position to advance the use of remote-sensing in our ES models. With remotely-sensed indicators of ecosystem condition, phenology or biomass, and other ecosystem characteristics such as soil moisture becoming available at increasingly fine resolutions and broad extents, ES tools should be adapted to make better use of this information. Cutting-edge approaches to derive ecosystem structure and function from continuous variables could be mainstreamed into ES tools, to replace or augment inputs currently represented by categorical land-use information. This position will identify useful data sources derived from remote-sensing, perform routine spatial data analyses and derive new products where necessary, test these products against observed data, create and maintain spatial databases of remote-sensing inputs to ES models, and prepare maps and graphics using a variety of geospatial software and graphic applications. Please note this position is fixed-term for 18 months with a possibility of reappointment based on programmatic and funding needs. JOB PURPOSE: Under general supervision, perform routine spatial data analyses, create and maintain databases and prepare maps and graphics using a variety of Geographic Information Systems (GIS) and graphic applications. CORE DUTIES*:
MINIMUM REQUIREMENTS: Education & Experience: Bachelor’s degree and three years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities:
Certifications and Licenses: None PHYSICAL REQUIREMENTS*:
WORKING CONDITIONS:
WORK STANDARDS:
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu. The Natural Capital Project is operationally housed in the Stanford Woods Institute for the Environment and is based at Stanford University. We offer a competitive salary and benefits package, depending on experience and qualifications. To be considered, applicants will provide a cover letter and resume. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. All final candidates are subject to a background check. Flood Risk Research: GIS and/or Applied Statistics/Economics
We are seeking expressions of interest in a potential research position at the Center for Watershed Sciences at University of California at Davis (UCD). An active researcher/analyst is sought to join a team working with large geospatial databases and GIS in order to assess flood risk and other natural hazards. The position is at the post-graduate level (complete MS or PhD in hand). At present we are open to several position options, including: either (1) a staff researcher position or (2) a full-time post-doctoral research position ("Researcher" type job title), or potentially (3) a doctoral student assistantship (50% GSR) while the student pursues a PhD at UCD. Our research group is working primarily with large flood- and hazard-related datasets with a geographical component. The successful candidate will have demonstrated research experience and research-level technical skills in one of the two following areas: (1) Geographic Information System GIS) analysis, or (2) Multivariate Statistical analysis of large real-world datasets, preferably applied to economic questions. Expertise with both of these areas would be a plus. The project will involve manipulating and analyzing large, complex, and spatially explicit datasets. These data sets and our research are related to flood risk, floodplain management, natural hazards analysis, and science-driven policy. The successful applicant should have the following: • A Masters or PhD degree in GIS, Statistics, or Economics, preferably in geography, hydrology, engineering, geology, applied statistics, or applied economics • In the area of GIS – Strong working knowledge of desktop GIS , experience with geo/GIS standards and tools required; experience with a programming or scripting language, such as Python, R, C#, or C++ is preferred. • In applied statistics or economics – Strong working knowledge and demonstrated experience with statistical packages, such as R, SAS, and/or SPSS required. Experience with SQL, scripting or coding (e.g., Python, R, etc.) is preferred. Experience with data visualization and development of models based on data is desired. • Ability to manage and integrate large and complex spatially explicit datasets is required; experience with flood, water, or hazards data would be a plus. • Potential for academic growth demonstrated by: journal publications, scientific meeting presentations, funding proposals, and/or technical reports completed or in progress. • The successful candidate should be a citizen or permanent resident of the USA Expressions of Interest: Interested persons should send an expression of interest to [email protected] no later than June 15, 2018. Relevant background information such as a current CV would be appreciated. https://ucdavis.box.com/shared/static/x90iezbfqegrlq9wtpd9niq3wqwmsnuw.pdf |
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