Responsibilities
PNNL's Earth Systems Science Division (ESSD) enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics.
We solve complex problems in the dynamic Earth system. Our research focuses on understanding and mitigating operational risks at the interface of human and natural environments.
The Sensing, Measurement & Forecasting team within the Earth System Predictability & Resiliency Group of ESSD is seeking candidates to lead key tasks and support interdisciplinary projects including : 1) developing advanced sensing systems for earth system science and renewable energy.
These next-generation sensors are not only fast, accurate, and versatile in terms of system performance but also lightweight, small, and soft.
- They can also be adapted for challenging environments such as deep subsurface and the Arctic environments. 2) studying the environmental impact of conventional hydropower and marine and hydrokinetic renewable energy systems by detecting and tracking fish or other animals in the river or ocean using underwater acoustic telemetry;
- 3) studying and mitigating the environmental impact of wind energy by detecting and tracking bats and birds using radio telemetry;
4) developing advanced energy-harvesting systems for small sensors / transimtters as well as remote sensing platforms.
The primary scope of this position includes advanced sensor design and testing, digital signal acquisition in laboratory settings, data processing and analysis, generation of intellectual properties, and writing of high-impact papers.
Qualifications
Minimum Qualifications :
Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
Preferred Qualifications :
- Candidates must have received a PhD in applied physics, electrical engineering, or mechanical engineering (with focus on acoustics).
- Minimum overall GPA of 3.5.
- Familiar with sound propagation theory and modeling.
- Proficient with acoustic signal processing.
- Hands-on experience with acoustic telemetry system design and testing.
- Experience using oscilloscopes, spectrum analyzers, and other general electrical test equipment.
- Experience with machine learning and high-performance computing.
- Experience with C / C++, Fortran, Python, MATLAB, and assembly programming languages.
- Experience with programming microcontrollers using microcontroller manufacturers’ dedicated development environments.
Hazardous Working Conditions / Environment
Must be comfortable working in the field, including on a research vessel.
Additional Information
Not Applicable.
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