Machine Learning Postdoc for National Security and Defense

What You Will Do

Los Alamos National Laboratory (LANL) is a world expert in scientific solutions for national security; come and be part of the next wave of machine learning applications and science! The Computer, Computational, and Statistical Sciences Division is seeking outstanding candidates for a postdoctoral research associate position in applied machine learning for national security and defense applications. The position is available immediately.

As the postdoc, you will work in conjunction with a small team of staff scientists and graduate students. This position includes significant freedom in terms of specific research direction. In general, you will perform research to develop robust, physically-realizable, and operationally valuable Machine Learning methods and algorithms. The work will involve non-traditional sensing domains for ML (radio frequency data, non-vocal acoustics, sensing data) and will range from fundamental basic research to prototype development.

You should have a strong publication record, an interdisciplinary research philosophy, and the ability to effectively communicate with researchers with varied backgrounds. As a postdoctoral research associate, you will be given the opportunity to publish results in high-impact peer-reviewed journals and to present at well-known conferences. The position is for two years, with a third year possible based on performance and funding.

What You Need

Minimum Job Requirements:

Technical Experience:

Strong programming skills required, along with either (A) experience with machine learning frameworks and data analysis; or (B) expertise in signal processing (digital signal processing, image processing, acoustics, etc.). Development will be done using Python, so knowledge of (or a desire to learn) python for machine learning is necessary.

Communication:

Excellent presentation, oral and written communication skills.

Publications

Track record of peer-reviewed publications and presentations in your home discipline.

Education/Experience: Ph.D. in computer science, applied mathematics, statistics, physics, or related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted.

Desired Qualifications:

• Experience with machine learning systems and methods (Keras, Tensorflow, PyTorch, etc.).
• Experience in signal processing and signals analysis.
• Demonstrated experience in interdisciplinary science, especially in the areas mentioned above.
• Operational experience with national defense applications, technology development, and acquisition.
• Active DOE Q or SCI security clearance.

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: No applicant is expected to have all of the desired skills. Anyone who meets the education and minimum job requirements is encouraged to apply.

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 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)
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.

Q Clearance: 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 clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.

*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call 1-505-665-4444 option 1.
Employment StatusFull TimeAppointment TypePostdocPostdoc
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