Summer High School Research Intern - AI enabled imaging workflows

Overview

At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Physical and Computational Sciences Directorate's (PCSD's) strengths in experimental, computational, and theoretical chemistry and materials science, together with our advanced computing, applied mathematics and data science capabilities, are central to the discovery mission we embrace  our most important resource is our people-experts across the range of scientific disciplines who team together to take on the biggest scientific challenges of our time. 

The

Physical Sciences Division stewards discovery science research portfolios including catalysis, materials science, separations, analytical chemistry, geosciences, and chemical physics. Our research strives to refine our molecular-level understanding of multiphase systems and phenomena including complex interfaces. We discover and apply new knowledge to address major national priorities and needs in energy sustainability through the development of new energy storage technologies and the creation of high-value fuels and materials from abundant wastes

Responsibilities

Pacific Northwest National Laboratory (PNNL) is seeking a high school student for the Summer High School Research Internship (HSRI). This internship provides an opportunity for students interested in preparing for careers in science, technology, engineering or mathematics (STEM) to work during the summer with a scientist/mentor in a specified research area. HSRI is a 10-week program, estimated based on start date;

the anticipated start date for summer cohort will be June 16, 2026.

* Work with senior researchers on transforming existing data to AI ready data for analysis

* Work in a collaborative team environment

* Learn and interpret optical and electron microscopy images for labeling

* Prepare report and share with the group

Due to the nature of this program, applicants must be currently enrolled in a local Tri-Cities, WA area high school. This internship is designed to be onsite and requires interns to work in person at our Richland, WA location to support hands-on learning and collaboration.

HOW TO APPLY

To have a complete application package, the (2) listed items below are required and must be uploaded correctly per the steps below for consideration:

Step 1:
Upload Resume or CV in "Resume" section only (note:
If applying to multiple positions, the most recent resume uploaded will be used for all positions an applicant applies to).

Step 2:
Upload a Cover Letter separately in "Additional Documents" section of the application. Please name the file of the Cover Letter _Summer_HSRI AI enabled imaging workflows

If any of the components (resume and cover letter) are not uploaded per the instructions above, applications will be rejected and will no longer be considered. Electronic applications will be accepted until 3:59 p.m. (PST) on the posting close date.

Qualifications

Minimum Qualifications:

* Applicants must be currently enrolled as a sophomore, junior or senior in a public or private high school at time of application

* Applicants must be 16 years of age by start date

* Applicants must have a cumulative GPA of 3.0 or higher (from beginning of 9th grade to current standing)

Preferred Qualifications:

* High school courses in Chemistry, Physics, and Mathematics (AP/Honors preferred).

* Knowledge of Python Coding. Basic awareness of AI tools.

* Able to work in a collaborative team environment.

* Able to interpret and work with optical and electron microscopy images for labeling the data.

* Good written and verbal communication skills and familiarity with PowerPoint presentations.

Hazardous Working Conditions/Environment

Not Applicable

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