Los Alamos National Laboratory Nuclear Forensic and Machine Learning Modeler Postdoc in Los Alamos, New Mexico
What You Will Do
The Intelligence and Systems Analysis Group (A-2) at Los Alamos National Laboratory (LANL) combines a diverse range of expertise to provide analytic products to a broad range of customers in support of national security. Group members perform research supporting nuclear non-proliferation, counterproliferation, counterterrorism, probabilistic risk assessment and consequence estimation of threats to vital national assets, technical assessments of nuclear devices or weapons, nuclear materials infrastructure analysis, and consequence evaluation of natural/man-made disasters and terrorist attacks.
The successful candidate will work with A-2 on using pre-detonation technical nuclear forensics (TNF) methods against nuclear materials and nuclear facilities. This requires a solid understanding of the nuclear fuel cycle and in particular nuclear reactor modeling. The focus will be on applying machine learning tools embedded in MATLAB to nuclear forensics challenges associated with spent fuel and separated plutonium. The candidate will collaborate with scientists and engineers across LANL for data collection, sample analysis, computational methods and material science.
What You Need
Minimum Job Requirements:
Working knowledge of nuclear reactor modeling codes such as MCNP or SCALE;
Experience with data computation using scripting languages such MATLAB, python or other similar languages;
Ability to and interest in learning a broad range of technical disciplines applied to technical nuclear forensics;
Good written and oral communication skills;
Applicants must have the ability to obtain a Q-clearance which typically requires U.S. citizenship;
Ability to work effectively individually and in small teams.
Education/Experience : Ph.D. in nuclear or mechanical engineering or a related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted.
Experience using machine learning methods such as neural networks (NN) and support vector machines (SVM).
Demonstrated experience scripting with MATLAB’s app designer.
Note to Applicants:
Q Clearance: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements
for access to classified matter.
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.
For more information about the postdoc Program at Los Alamos National Lab., please go tohttps://www.lanl.gov/careers/career-options/postdoctoral-research/index.php.
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 (paid sick, vacation, and holidays)
§ Onsite gyms and wellness programs
§ Extensive relocation packages (outside a 50 mile radius)
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.
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.
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 email@example.com or call 1-505-665-4444 option 1.
Vacancy Name: IRC84937
Organization Name A-2/Intelligence & Systems Analysis
Req ID: IRC84937