Student Worker Research Assistant, AI Modeling
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Job Location:
Las Vegas, NV - USA
Monthly Salary:
Not Disclosed
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Thank you for your interest in employment with the Desert Research Institute. We want your application process to go smoothly and quickly. We ask that you keep in mind the following when completing your application:
- Once you start the application process you cannot save your work. Please ensure you have all required attachment(s) available to complete your application before you begin the process.
- Required attachments are listed below on the posting. Your application will not be considered without the required attachments.
- Please see the application instructions under each posting for information on submittal deadlines.
If you need assistance or have questions regarding the application process contact Human Resources Hotline at or .
Job Description
Key responsibilities
Support development and testing of retrieval-augmented simulation (RAS) methods for hydrological time series.
Prepare clean and organize hydroclimatic streamflow wildfire vegetation and watershed datasets for model training and evaluation.
Help build workflows to identify historical analog periods and use them to improve prediction under changing post-fire conditions.
Assist with coding debugging and running model experiments in Python.
Contribute to model evaluation using metrics visualizations and summary tables.
Help document methods code and results for internal reports figures and future publications.
Participate in regular project meetings and provide updates on progress.
Required Qualifications
Current NSHE undergraduate student in hydrology data science computer science or a related field and enrolled in at least 6 credits
Basic programming experience in Python.
Familiarity with data analysis and handling time-series data.
Interest in hydrologic modeling machine learning or environmental data science.
Preferred Qualifications (optional)
Coursework or project experience in hydrology machine learning or time-series analysis.
Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
Experience with data visualization and model evaluation.
Experience using Git HPC or cloud/GPU computing resources.
HOURS / PAY
Up to 25 hours/week during the semester and 40 hours during breaks; rate: 18/hour
NoFull-Time Equivalent
47.5%Required Attachment(s)
Please submit a resume
Posting Close Date
Note to Applicant
Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications. The search committee will use this information during the initial review of application materials.
References will be contacted at the appropriate phase of the recruitment process based on applicant notification and permission.
Newly hired faculty and postdoctoral fellows must assure that their official transcript is submitted to the Human Resources Office within 30 calendar days from the effective date of employment. Academic degrees must have been awarded by regionally accredited institutions.
This position may require a criminal background check to be conducted on the candidate(s) selected for hire.
As part of the hiring process applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.
DRI employs only U.S. citizens and aliens authorized to work in the U.S. DRI only sponsors aliens applying for research faculty or postdoctoral fellow positions (J-1 or H-1B Visas).
All applicants hired by the Desert Research Institute are subject to E-Verify.
Required Experience:
Junior IC
About Company
Working to solve our most challenging environmental problems. Since 1959, the faculty, students, and staff at the Desert Research Institute (DRI) have advanced scientific knowledge to help solve pressing environmental challenges and improve human health.
