Job Summary
The primary focus of this role is to develop, train, and assess deep learning models tailored for undersea acoustic detection, classification, and localization. The position involves working alongside interdisciplinary teams to convert research methodologies into practical analytical tools that support national security initiatives.
Responsibilities
- Develop deep learning algorithms for underwater acoustic data analysis.
- Train and evaluate models to enhance detection and classification capabilities.
- Collaborate with multidisciplinary teams to ensure research methods are effectively transitioned into application.
- Contribute to national security operations through the innovative application of acoustic modeling techniques.
Qualifications
- BS/BA degree with a minimum of 2 years of relevant experience, or an MS/MA, or a PhD in a pertinent discipline.
- Proven expertise in deep learning applied to acoustic or sensor datasets.
- Must be eligible for a federal security clearance.
Pacific Northwest National Laboratory provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
