Acoustic Signal Processing Machine Learning Postdoc

What You Will Do
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. The Applied Acoustics Team (MPA-11) is looking for a Graduate student with strong computational skills and solid background in signal processing and machine learning. We are seeking a highly motivated individual to join a multidisciplinary research team and contribute to the development of a new noninvasive acoustic/ultrasonic characterization and monitoring in complex, noisy systems.

This work involves automating the recording, conditioning, and processing of real-world measurements in the time- and frequency-domain; and then developing machine learning algorithms to extract useful information from the signals. The work will also involve some experimental acoustic measurement technique development.

Our current work focuses on applied research for material characterization (solids, liquids, gases), acoustical imaging, nonlinear acoustics, acoustic separation of two-phase systems, detection of corrosion and other defects in structures and monitoring the change in structures over time. The work involves development of new techniques, customized instrumentation, and analysis algorithms. The successful candidate will be expected to contribute to the development of new sensing technologies, patents and publications.

There will be opportunities to work in a wide range of areas, to innovate, and present work to sponsors and conferences.

What You Need

Minimum

Job Requirements:

• Graduate Student 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

Desired

Qualifications:

• 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)

Work Environment:

Work Location:

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Note to Applicants:

Contact:
Dr. John Greenhall, jgreenhall

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

• PPO or High Deductible medical insurance with the same large nationwide network
• Dental and vision insurance
• Free basic life and disability insurance
• Paid maternity 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

Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements
* for access to classified matter. This position requires a Q clearance. and obtaining such…