Post-Doctoral Fellow, Satellite Remote Sensing – Lake and Coastal Ice

Mines | Mining Engineering

. Lead work on a NOAA funded project .

Posted 11/4/2026full-timeGolden • Colorado • United StatesMid-LevelSenior💰 $65,000 - $70,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in remote sensing, machine learning, and statistical analysis to lead research on ice retrieval algorithms and validate ice predictions for NOAA models. Capable of mentoring students and generating proposals while contributing to academic publications and presentations.

Highest-signal resume keywords

PhD In Civil EngineeringRemote Sensing ExpertiseMachine Learning ProficiencyStatistical Analysis SkillsProposal Writing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Ice Retrieval AlgorithmsStatistical AnalysisHydrodynamic Processes KnowledgeLake Ice ExpertiseMachine Learning

Soft Skills

Mentoring AbilityResearch Guidance

Tools & Technologies

Satellite Applications

Industry Keywords

NOAAGreat LakesCoastal AlaskaResearch PapersGrant Reporting

Tech Stack

Tools & technologies

Remote Sensing

About the role

Key responsibilities & impact

Lead work on a NOAA funded project
Apply novel ice retrieval algorithms to derive ice freeboard and thickness for the Great Lakes and coastal Alaska
Validate ice prediction for NOAA operational models of the Great Lakes and Alaska coast
Lead independent research activities in collaboration with faculty advisor
Participate in a weekly 1-hour research meeting
Meet weekly with lab members to provide research guidance
Submit a minimum of 2 research papers each year
Conduct preliminary reviews of student research products, including abstracts, posters, proposals, defense presentations, theses, and technical papers
Assist in grant reporting and presentations, as appropriate
Present findings at regional and national conferences

Requirements

What you’ll need

PhD in civil or environmental engineering, hydrology, watershed science or related field
Expertise in remote sensing, machine learning, and lake ice
Programming, machine learning and statistical analysis
Knowledge of hydrodynamic processes
Knowledge of remote sensing and satellite applications
Ability to mentor undergraduate and graduate students
Proposal idea generation and proposal writing
Successful completion of a background investigation may be required
Mentoring of graduate or undergraduates preferred

Benefits

Comp & perks

Flexible health and dental care options
Generous sick/vacation time
Fully vested retirement plan on first day of employment, with generous employer contribution
11% employee contribution through Mines Defined Contribution Plan
12% employer contribution with immediate 100% vesting for research positions
Tuition benefits (6 credits per year for employees, 50 percent discount for dependents)
Free RTD Ecopass
Discount programs through the State of Colorado
Free tickets for Mines Athletics home games
Access to the Recreation Center, including fitness classes and training and swimming pool
Equipment rentals through the Outdoor Rec Center
On campus daycare center
Reasonable accommodations during the employment selection process and within the working environment