Research Engineer / Scientist I - Environmental Remote Sensing SAR Specialist

Energy Vault; Ann Arbor (MI); Remote; USD 70,000 - 90,000; Full time

Job summary

Energy Vault is looking for a Research Scientist I specializing in Remote Sensing and SAR applications at the Michigan Tech Research Institute. The successful candidate will contribute to innovative research projects addressing environmental challenges using advanced remote sensing techniques. Candidates should possess a master's degree and demonstrate expertise in data processing and SAR theory.

Qualifications

• Experience with SAR for environmental applications.
• Knowledge of remote sensing data analysis tools.
• Demonstrated ability in fieldwork navigation in remote areas.

Responsibilities

• Conduct fieldwork in remote environments and apply SAR analysis.
• Collaborate on multi-disciplinary research projects.
• Lead the preparation and contribution to technical reports and proposals.

Skills

Synthetic Aperture Radar (SAR)

Geospatial analysis

Remote sensing theory

Data processing

Technical writing

Education

Master’s degree in remote sensing, geospatial technology, geography, earth science, or related field

Tools

Python

ERDAS Imagine

ENVI+IDL

Google Earth Engine

Job description

Department: Michigan Tech Research Institute

Summary	The Research Scientist I – Remote Sensing SAR Specialist position provides support for MTRI programs focused on the development and application of remote sensing and geospatial analysis to solve governmental and societal needs through sponsored research. Knowledge of remote sensing theory and an understanding of remote sensing applications for environmental and/or Earth science research is required. The applicant should be experienced with the theory and application of Synthetic Aperture Radar (SAR) for environmental research. The applicant will be expected to help develop proposals for remote sensing research projects that apply their knowledge of sensing and image processing to research questions. The applicant will also be expected to conduct fieldwork in remote environments. Examples of current research areas the Remote Sensing Scientist may support include wildland and prescribed fire mapping and effects assessment, Great Lakes aquatic sensing, invasive species mapping, wetlands assessment, wildland fire danger and emissions mapping, processing and analysis of remote sensing data through custom coding and analysis, and improved geotemporal visualization of complex data and patterns. This in an in-person position based at MTRI in Ann Arbor, MI (https://mtu.edu/mtri).
Responsibilities	• Participate in research projects applying SAR remote sensing, geospatial analysis, earth science knowledge, and analysis skills to solve project tasks for ongoing and new MTRI research projects. • Participate as an integral team member on multi-disciplinary research relating to applying technological skills to solving governmental and societal needs for a diverse set of current research areas, including improved remote sensing data analysis and visualization of complex data for environmental and interdisciplinary projects. • Be able to troubleshoot issues encountered in data processing and analysis to ensure scientifically valid data collection. • Evaluate, select, and apply the results of data collected and research projects undertaken. Describe and share any concerns about the results or methodology and recommend or implement countermeasures. • Contribute technical expertise in sensing at a primary and co-author level to specific aspects of conference presentations, journal articles, and technical reports, and be able to take the lead on preparing technical reports. • Participate in fieldwork in remote environments, including navigation in remote areas and following data collection protocols. • Contribute to competitive proposals including development of specific tasks that use and exploit remote sensing data and products. • Assess effectiveness of safety measures and training and implement necessary changes. Anticipate and recognize problems and potential problems at the individual and system levels. Recognize and respond appropriately to potential and actual unsafe situations. • Apply safety-related knowledge, skills, and practices to everyday work. • Commit to learning about continuous improvement strategies and applying them to everyday work. Encourage continuous improvement practices among employees.
Required Education, Certifications, Licensures	Master’s degree or higher in remote sensing, geospatial technology, geography, earth science, ecology, or closely related field
Required Experience	• Algorithm development and data processing with Synthetic Aperture Radar (SAR) for environmental applications. • Experience with analysis and processing of remote sensing data using desktop software tools (e.g. ERDAS Imagine, ENVI+IDL, OSGeo Opticks) or cloud-based platforms (e.g. Google Earth Engine). • Practical, demonstrated knowledge of Python or comparable programming language (ex. R, Matlab, C++, Julia, Javascript). • Coursework in higher-level math, statistics, or remote sensing. • Coursework in at least one of the following remote sensing application areas: earth science, ecology, geography, environmental engineering. • Experience in preparing and contributing to competitive research grant proposals.
Desirable Education and/or Experience	• Experience with statistical analysis software (such as SAS, R, or MATLAB). • Experience in a remote sensing and/or geospatial research environment. • Background in the mathematics and physics underlying Synthetic Aperture Radar (SAR). • Experience with development, management, and documentation of large geospatial and remote sensing datasets. • Familiarity with machine learning techniques. • Experience working with large datasets using advanced computational systems (e.g., cloud computing, multi-processor supercomputing). • Experience with performing fieldwork (e.g. navigating via handheld GPS, following data collection protocols)
Required Knowledge, Skills, and/or Abilities	• Ability to obtain a U.S. Department of Defense security clearance, which requires United States citizenship. Obtaining a national security clearance while holding a dual citizenship will not be possible when the foreign country poses a risk to the national security of the United States. • Knowledge of SAR remote sensing theory for science and/or application. • Ability to clearly communicate complex ideas through symposia presentations, methods documentation, reports, and publications. • Excellent written/oral communication skills. • Demonstrated organizational ability and attention to detail. • Demonstrated ability to participate in team projects. • Ability to exercise discretion and independent judgment with respect to significant matters related to job duties.
Desirable Knowledge, Skills, and/or Abilities	• Experience in processing hyperspectral imagery such as mixture modeling methods and similar advanced spectral analysis methods. • Knowledge of geospatial data structures, visualization, and analysis and experience with GIS software (ESRI, QGIS, GDAL). •Demonstrated success in, or potential future contributions to, working with persons from diverse backgrounds, creating a sense of belonging, and fostering a fair, objective, welcoming place to work for persons with a wide variety of personal characteristics and viewpoints.
Work Environment and/or Physical Demands	The noise level in the work environment is usually low to moderate. Gender neutral bathrooms are available. Employees work in a typical office environment with few physical demands.
Required Training and Other Conditions of Employment	Every employee at Michigan Technological University will receive the following 4 required trainings; additional training may be required by the department. Required University Training: Employee Safety Overview Anti-Harassment, Discrimination, Retaliation Training Annual Data Security Training Annual Title IX Training Background Check: Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed. Other Conditions of Employment: Please note that successful applicants are responsible for ensuring their eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of your appointment, and maintain eligibility without sponsorship throughout your appointment. Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities
Full-Time Equivalent (FTE) % (1=100%)	1.00
FLSA Status	Exempt
Pay Rate/Salary	Negotiable, Based on Experience
Title of Position Supervisor	Research Engineer/ Scientist I
Posting Type	Internal and External Posting
Dependent on Funding	Yes

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Michigan Technological University is an Equal Opportunity Educational Institution/Equal Opportunity Employer that provides equal opportunity for all, including protected veterans and individuals with disabilities.

If you require any auxiliary aids, services, or accommodations during Michigan Tech’s hiring process please notify the Human Resources office at 906-487-2280 or [e-mail].

Required Education, Certifications, Licensures* (minimum requirements)