Pacific Northwest National Laboratory Masters Intern - Computing, Math and Data Sciences Intern (NSIP) in RICHLAND, Washington
Organization and Job ID
Job ID: 305907
Directorate: National Security
Division: Computational & Statistical Analytics
The Pacific Northwest National Laboratory (PNNL) is seeking ambitious, high caliber graduate students for assignments within the National Security Internship Program (NSIP).
Do you want to be challenged with hard problems in national security, energy, and science and apply cutting-edge research to make our nation safer and stronger? Does developing complex computer code, competing in cyber warfare games, designing new visualizations, optimizing solutions for energy, or working with big data sound compelling to you? Do you want to work side by side with world class scientists?
If you answered yes, please join us as an intern in the Computational & Statistical Analytics Division. We’re looking for smart, creative, and motivated students who have a passion for solving critical national challenges using advanced computational, statistical, and mathematical techniques. Positions are available in Richland, WA and Seattle, WA, based on business need.
Diverse Focus Areas: Your internship will land you in one of six technical groups.
1.Applied Statistics & Computational Modeling: We employ powerful tools and techniques, such as mathematical modeling and computational statistics to solve complex problems in a variety of domains.
Disciplines of interest: statistics, applied mathematics, and operations research.
2.Cyber Security: We deliver "first of a kind" solutions ranging from network and software development to embedded systems to protect our nation's critical strategic assets.
Disciplines of interest: cyber security and computer science.
3.Data Sciences & Analytics: We operate on the data-to-knowledge continuum distilling large, fast, distributed, and messy data into knowledge to support decision processes.
Disciplines of interest: applied statistics, data science, and psychology.
4.Software Engineering & Architectures: We develop and deliver well-architected software-centric systems and deploy sustainable software and hardware systems used in high-impact production environments.
Disciplines of interest: software engineering, mobile application development, and software testing.
5.Visual Analytics: We make big, complex data useful through skillful visual design, compelling human- computer interaction, sound analytic methods, and solid engineering.
Disciplines of interest: information visualization, user centered design, and human-computer Interaction.
6.Analysis & Operations: We use a multitude of information sources to identify threats to critical networks and systems, creating tools that help us become more efficient at identifying those threats.
Disciplines of interest: cyber security, computer science, and information management.
More detailed information on each of these groups can be found at http://www.pnnl.gov/nationalsecurity/technical/capabilities/computing/.
****BEFORE YOU APPLY****
When asked to upload your resume to your application, you need to upload one (1) PDF file that includes the following:
1. Current resume or CV.
2. Unofficial transcripts for all current and past degrees.
3. A 300-word essay describing how your specific interests and talents pertain to one of the technical group focus areas listed above.
APPLICATIONS THAT DO NOT INCLUDE THE ITEMS ABOVE IN THEIR SINGLE PDF UPLOAD WILL BE DISQUALIFIED AS INCOMPLETE.
Candidates must be matriculated/enrolled in a Master's program focused in disciplines described above at an accredited college or university. Minimum GPA of 3.30 is required.
Some projects may require U.S. citizenship.
Equal Employment Opportunity
PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.
Directorate: National Security Dir
Job Category: Master's and PhD Level Internships
Group: Stat Modlng & Expr Design
Opening Date: 2016-10-14
Closing Date: 2017-03-04