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Student Worker - Research Assistant, AI Modeling

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Number of Applicants

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Job Description - Student Worker - Research Assistant, AI Modeling

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 (775) 673-7431 or [email protected].

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

No

Full-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.

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