Level 3 Human Computer Interaction and Visualization Scientist
Full/Part Time: Full-Time
We're a team of visual analytics and human-computer interaction researchers who love making big, complex data useful through new computational methods, great visual design, compelling interaction, support for sound analytic techniques, innovative cognitive modeling, novel human-machine teaming, and solid engineering. We develop new ways for people to benefit from data and care deeply about the intersection between human and computer to solve problems in new ways. We work with partners across PNNL - people like statisticians, machine vision experts, modelers, and domain scientists – to create solutions for our customers' hardest analysis challenges. We're looking for researchers with a passion for visualization, human-computer interaction, cognitive modeling, human-machine teaming, and data analysis to join us.
This position involves contributing to, developing, and leading human-computer interaction, human-machine teaming, or visualization research activities. The incumbent will create new visual analysis technologies or interaction techniques to help users draw insight from complex data and leveraging human cognition. They will lead teams of researchers and software engineers responsible for implementing those techniques. The position carries the expectation of creating new business in visualization or human-computer interaction research (for instance, through proposal writing) and publishing scientific results in peer-reviewed literature.
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, to equipping cyber defenders with tools that prevent damaging cyber-attacks.
Our research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development.
Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions address complex scientific challenges affecting energy, biological sciences, the environment, and national security.
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.
Bachelor's degree with at least 5 years’ experience or a Master's degree with 3 years’ experience or a PhD with 1-2 years’ experience. Preferred academic coursework the disciplines of computer science, human computer interaction, visual analytics, cognitive modeling, cognitive psychology, human factors engineering, or related disciplines.
Must be a skilled professional who applies a broad basis of existing theories, principles, and concepts to a specialty field.
Must be a technical expert who selects and widely applies principles, theories and concepts in a major field of specialization.
Organization and Job ID
Job ID: 307438
Directorate: National Security
Division: Computing and Analytics
Group: Visual Analytics
This position requires the ability to obtain and maintain a federal security clearance.
* U.S. Citizenship
* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
* Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
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.