Job Description

Research Scientist I, Geospatial and Remote Sensing

Posting Number: SP004736P
Division/College: College of Natural Resources
Department: Forest, Rangeland, & Fire Sciences
Location: Moscow

Posting Context Statement:

The College of Natural Resources ( CNR ) seeks a Research Scientist I to help expand our interdisciplinary research efforts focused on the development of quantitative remote sensing techniques for environmental monitoring, both from passive (optical) and active (LiDAR) sensors, and on the development of quality assessment and validation standards for remotely sensed thematic products.

Position Overview:

Serves as an independent researcher, or a collaborator on a multi-scholar research initiative. May have lead responsibility for discrete components of a larger project under the general direction of a senior or principal researcher.

Duties may include:

• Perform complex scientific analyses
• Adjust experimental designs as necessary based on experimental data analysis
• Direct the development of recommendations for project solutions
• Perform peer review of scientific projects, studies, or applications and making recommendations
• Prepare peer reviewed publications or presentations
• Resolve complex project specific technical and regulatory issues
• Establish work priorities and performance standards, hiring, training, evaluating staff, assigning, and reviewing work
• May be responsible for technical project management to include developing the scope of work, budgeting, scheduling, reporting, implementing field projects, and approving scientific documents
• Participate in the development of grant proposals as named project contributor
• Other duties as assigned

Required Experience:

• Three years of research experience related to the domain of this position

Required Education:

• Doctoral Degree in Natural Resources, Geography, Environmental Science, or related field with a strong remote sensing or geospatial analytical focus; A Master’s Degree plus an additional two years of research experience (five years total) may be substituted for a Ph.D.

Required Other:

• None

Additional Preferred:

• Experience working as part of an interdisciplinary research team
• Experience with supercomputing environments
• Strong understanding of artificial intelligence and deep learning frameworks
• Experience mentoring graduate students
• Experience of the principles of statistics, sampling theory, probability theory, and spatially explicit statistical methods
• Experience with R, Python, SQL family
• Experience in geometric data analysis with a focus on forestry related objects
• Experience publishing research in high-impact, refereed journals
• Written and oral communication skills

Physical Requirements & Working Conditions:

• None

Degree Requirement:
Listed degree qualification is required at time of hire
FLSA Status: Exempt
Employee Category: Exempt
Pay Range: Commensurate with experience
Type of Appointment: _of_Appointment
FTE:

1.0

Full Time/Part Time: Full Time
Funding: This position is contingent upon the continuation of work and/or funding.
A visa sponsorship is available for the position listed in this vacancy: Uncertain
Posting Date: 01/29/2025
Closing Date:
Open Until Filled: Yes
Special Instructions to Applicants:

This position is open until filled. Priority will be given to applicants who have submitted their materials by February 12th, 2025.

Applicant Resources:
Background Check Statement:

Applicants who are selected as final possible candidates must be able to pass a criminal background check.

To apply, visit

The University of Idaho is an equal opportunity/affirmative action employer. The University is committed to the policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, age, gender identity, national origin, disability, protected veteran status, sexual orientation, genetic information, or any other status as protected under applicable federal, state or local law in employment or educational programs.

Job Tags

Full time, Part time, Local area, Visa sponsorship,

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