Pacific Northwest National Laboratory PhD Intern - Graph generative models in RICHLAND, Washington

Organization and Job ID

Job ID: 308776

Directorate: Physical & Computational Sciences

Division: Advanced Comput, Math & Data

Group: Data Analytics

Job Description

The internship will focus on learning generative models for knowledge graphs.

Potential topics of interest:

  • scaling up graph generative models

  • evaluating generative models for complex datasets such as electronic health records or network traffic data

  • model graph evolution under adversarial scenarios using generative models/deep reinforcement learning

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

  • Strong background in generative models/deep reinforcement learning.

  • Strong background in graph theory/graph algorithms is a plus.

  • Proficiency in Python and Tensorflow.

  • GPA => 3.9.

Enrolled in a Computer Science PHD program with a minimum GPA of 3.9 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 jobs.pnnl.gov.

Directorate: Physical & Computational Sci's

Job Category: Master's and PhD Level Internships

Group: Data Analytics

Opening Date: 2019-01-18

Closing Date: 2019-01-30