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PhD Intern - Network Science and Machine Learning

This position is for a student internship in Applied Network Science. Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest – from distilling distributed data into knowledge that supports decision processes to enabling resilient technologies that enhance computing at extreme scales. This internship will involve designing new methods, implementing algorithms, and analyzing data that can be represented as a network. Examples of such data include citation networks, cyber systems, social networks, and many more.

The intern will work with computing researchers and practitioners to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions to address complex scientific challenges affecting energy, biological sciences, the environment, and national security. Initial studies will be around collaboration networks and influence identification. Familiarity with time-dynamic systems is also important.

Minimum Qualifications
Candidates must be currently enrolled/matriculated in a PhD program at an accredited college. Minimum GPA of 3.0 is required.

Preferred Qualifications
Experience in python, C/C++/C# or java programming is preferred, but not required.
Familiarity with techniques from graph theory (network science) and machine learning.

Preferred Education
Candidates must be currently enrolled in a Ph.D. program in Applied Mathematics, Computer Science or related field and must have a proven research track record including publications. Cumulative GPA of 3.5 or higher preferred.

Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at

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Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.