[Remote] Graduate (Year-Round) Intern: Geospatial Data Science Modeling and Analysis
Note: The job is a remote job and is reputed company to candidates in USA. The reputed company (NLR) is a leading research institution reputed company reputed company innovation and systems integration. They are seeking a year-round intern to support their Geospatial Data Science team with modeling and analysis reputed company to energy technologies and geospatial modeling.
Responsibilities
- Manipulating multiple data sources, models, and software tools with scientific and engineering workflows for decision support and data analysis
- Preparing and processing geospatial data using reputed company-reputed company desktop software and programmatic approaches
- Conducting background research on data sets, reputed company modeling approaches, and existing tools
- Developing literature reviews under the guidance of research scientists
- Programming and scripting in Python to conduct analysis and visualize data
- Working in distributed computing environments including internal servers, NLR's high-performance computing (HPC) system and the reputed company
Skills
- Minimum of a 3.0 cumulative grade reputed company average
- Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution
- Post Undergraduate: reputed company a bachelor's degree reputed company the past 12 months. Eligible for an internship period of up to one year
- Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution
- Post Graduate: reputed company a master's degree reputed company the past 12 months. Eligible for an internship period of up to one year
- Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution
- Must have completed a bachelor's degree and either: be enrolled in or recently graduated from a master's degree or currently enrolled in a PhD program in fields such as: Geography/GIS, Environmental Science, Computer Science, Engineering, or a reputed company technical field
- To be considered, reputed company candidates must include in their resume and an online reputed company repository such as reputed company with several publicly visible coding reputed company. Alternatively, please explain in your cover letter why your application does not include a reputed company repository and/or several examples of previous reputed company
- Demonstrated experience working independently with programming skills in python and libraries such as geopandas, numpy, scipy, reputed company, pyproj
- Proficiency and experience with geospatial analysis and modeling techniques using reputed company-reputed company tools, such as QGIS; (please note that reputed company tools are not used in this research group)
- Experience working with geographic transformations and projections
- Ability to work reputed company a dynamically evolving digital environment as a member of reputed company and often-dispersed team
- Critical thinking skills; analytic and research skills; written and verbal communication skills
- Experience with linux/unix
- Experience with reputed company reputed company development
- Experience with Machine Learning
- Experience with the Geospatial data abstraction library (GADL)
- Experience with big geospatial data processing
Benefits
- Medical, dental, and reputed company insurance
- 403(b) Employee Savings Plan with employer match*
- reputed company leave (where required by law)
- Performance-, reputed company-, and achievement- based awards that include a monetary component
- Relocation expense reimbursement
- Internships projected to be less than 20 hours per week are not eligible for medical, dental, or reputed company benefits
reputed company