Pnnl
Job ID: 310507
Directorate: National Security Directorate
Division: Computing and Analytics
Group: Data Sciences and Analytics
Do you want to create a legacy of meaningful research for the greater good? Do you want to lead and contribute to work in support of an organization that addresses some of todays most challenging problems that face our Nation? Then join us in the Data Sciences and Analytics Group at the Pacific Northwest National Laboratory (PNNL)!
For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment and national security. PNNL is committed to advancing the state-of-the-art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors missions. Help us advance this frontier and protect our nation!
Data science at the Pacific Northwest National Laboratory (PNNL) addresses critical national and global issues by applying scientific and mathematical techniques to multiple data sources and communicating the finding to our sponsors and the academic community. This position requires thought leadership and technical depth to support the sponsors of PNNLs National Security Directorate in the development and advancement of data science and deep learning research. Research of interest includes the development, implementation, and resulting analyses related to quantitative social science, human language technologies, computer vision, real-time streaming algorithms, national security, disaster response and recovery, health security, image/video understanding and other related fields.
The data scientist in applied machine learning should have the following attributes:
+ Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn)
+ Experience applying machine learning to domain specific applications, such as geospatial intelligence, natural language processing, behavioral modeling, social computing, time series prediction, computer vision, etc.
+ Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.
+ Publication record in scientific conferences such as NIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred
This position will require interactions with Government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.
+ Bachelor’s degree in computer science or closely related field with strong software design and development skills with 2-3 years’ experience or a masters degree with 0-2 years’ experience or a Ph.D. with 0 years’ experience is required.
+ Active Federal Q Clearance and ability to maintain such clearance.
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.
This position requires the ability to obtain and maintain a federal security clearance.
Requirements:
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
_Directorate:_ _National Security_
_Job Category:_ _Computation and Information Sciences_
_Group:_ _Data Sciences & Analytics_
_Opening Date:_ _2020-02-13_
_Closing Date:_ _2020-06-22_