Los Alamos National Laboratory · 3 weeks ago
Acoustic Signal Processing Machine Learning Postdoc
Los Alamos, NM
Full-time
Onsite
New Grad, Entry LevelLos Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Applied Acoustics Team is seeking a postdoctoral researcher with strong computational skills and a solid background in signal processing and machine learning to contribute to the development of noninvasive acoustic characterization and monitoring in complex systems. The role involves automating measurements, developing machine learning algorithms, and contributing to new sensing technologies and publications.
Security
No H1B
U.S. Citizen Only
Responsibilities
Contribute to the development of a new noninvasive acoustic/ultrasonic characterization and monitoring in complex, noisy systems
Automate the recording, conditioning, and processing of real-world measurements in the time- and frequency-domain
Develop machine learning algorithms to extract useful information from the signals
Involve in experimental acoustic measurement technique development
Contribute to the development of new sensing technologies, patents, and publications
Work in a wide range of areas, innovate, and present work to sponsors and conferences
Qualification
Required
Ph.D. in Applied Physics, Engineering, Computer Science, or a closely related field, earned within the last five years or soon to be completed
Strong technical background in one or more of the following areas: signal processing, advanced data analysis, statistics, ultrasonic techniques, nondestructive testing, and machine learning
Fluency in one or more computer programming languages like Matlab, Python, or C++
Experience with standard machine learning software packages like Pytorch, Scikit-learn
Experience with common deep learning model architectures like MLPs, CNNs, and transformers
Experience developing, implementing, and testing machine learning methods for signal-processing applications using complex, noisy real-world data
Demonstrated experience in conducting original scientific research through peer-reviewed publication or conference record
Preferred
Knowledge of electronics and typical laboratory test instruments, such as function generators, oscilloscopes and piezoelectric transducers
Experience with generative learning models like GAN, CVAE, etc
Experience working with edge learning on, e.g. FPGA
Ability to adapt to new requirements for projects and be flexible to learn new areas of research as needed
Ability to obtain DOE Q clearance (usually requires US citizenship)
Benefits
PPO or High Deductible medical insurance with the same large nationwide network
Dental and vision insurance
Free basic life and disability insurance
Paid childbirth and parental leave
Award-winning 401(k) (6% matching plus 3.5% annually)
Learning opportunities and tuition assistance
Flexible schedules and time off (PTO and holidays)
Onsite gyms and wellness programs
Extensive relocation packages (outside a 50 mile radius)
Company
Los Alamos National Laboratory
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is
Founded in 1943
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of EnergyU.S. Department of Homeland Security
2023-08-16Grant
2023-05-19Grant
2023-01-17Grant
Leadership Team
Alex Delaney
R&D Engineer, Detonation Science and Technology
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