Assistant Research Professor - Data Analysis and Remote Sensing

Scholarshipdb; Moscow (ID); Remote; USD 60,000 - 100,000; Full time

Job summary

An established industry player is seeking an Assistant Research Professor specializing in data analysis and remote sensing. This role involves advancing interdisciplinary research and teaching efforts focused on innovative quantitative techniques for environmental monitoring. The successful candidate will develop and validate standards for remote sensing products, requiring a Ph.D. and expertise in computational analysis. This unique opportunity allows for significant contributions to environmental science while fostering collaboration in a dynamic academic environment. If you are passionate about research and have the skills to drive impactful projects, this position is perfect for you.

Qualifications

• Ph.D. in Mathematics or related field required at time of hire.
• Experience in computational data analysis and remote sensing techniques.

Responsibilities

• Expand interdisciplinary research on quantitative remote sensing techniques.
• Develop quality assessment standards for remotely sensed products.

Skills

Computational Data Analysis

Statistics

Programming (C, Python)

Machine Learning

Geometric Data Analysis

Written and Oral Communication

Education

Ph.D. in Mathematics or related field

Tools

Linux Environment

Supercomputing Environments

Job description

Assistant Research Professor - Data Analysis and Remote Sensing

Recruitment Title: Assistant Research Professor - Data Analysis and Remote Sensing

Advertising Pay Range: Commensurate with experience

Location: Moscow

Primary Division/College: College of Natural Resources

Primary Unit: Forest, Rangeland, & Fire Sciences

Employee Category: Faculty

Classification Group Title: Research Faculty

Position Control Number: 7158

FTE: 1.0

Contract Basis: Fiscal Year

Anticipated Contract Start Date: 08/01/2024

FLSA Status: Exempt

Tenure Tracking: Non-Tenure Track

Rank: Assistant Professor

Position Responsibilities:

The Department of Forest, Rangeland and Fire Sciences (FRFS) seeks a non-tenure track Assistant Research Professor with expertise in computational data analysis to help expand our interdisciplinary research and teaching 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. This is a soft-funded position; the successful candidate is required to fully fund their own salary and fringe benefits.

Qualifications

Minimum Education/Degree Required: Listed degree qualification is required at time of hire.

• Completed Ph.D. in Mathematics (or related field such as Engineering or Physics with a strong mathematical focus)
• Experience with natural resource and environmental science issues
• Experience of the principles of statistics, sampling theory and probability theory
• Experience with compiled and interpreted programming languages (at minimum C and Python in Linux environment)
• Experience publishing research in high-impact, refereed journals
• Experience competing for external funding
• Familiarity with the CEOS guidelines for the validation and calibration of thematic map products
• Experience with the state of the art in machine learning
• Experience in geometric data analysis with a focus on 3-D structures
• Written and oral communication skills
• Candidate must be self-funded; at least 7 months of salary support must be in-hand at time of application

Preferred Qualifications:

• Experience working as part of an interdisciplinary research team
• Experience with supercomputing environments
• Strong understanding of artificial intelligence and deep learning frameworks
• Experience in teaching undergraduate courses
• Experience mentoring graduate students at the PhD level

Physical Requirements & Working Conditions:

Posting Information:

Posting Date: 07/11/2024

Closing Date: Open Until Filled

Special Instructions to Applicants: This position is open until filled. Priority will be given to applicants who have their materials submitted by 7/25/24.

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

EEO Statement: The University of Idaho (U of I) is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained faculty and staff. Women, minorities, people with disabilities and veterans are strongly encouraged to apply.

A visa sponsorship is available for the position listed in this vacancy.