Los Alamos National Laboratory Advanced Imaging and Radiography Postdoc in Los Alamos, New Mexico
What You Will Do
Los Alamos National Laboratory (LANL) is seeking one or more outstanding and self-motivated Postdoctoral Research Associates to grow the cutting-edge efforts in the Advanced Imaging and Radiography (AIR) frontiers. AIR is driven by the existing and near-future capabilities at synchrotrons such as Argonne APS, Brookhaven NSLS-II, X-ray free electron lasers (XFEL) such as LCLS at SLAC, proton accelerators such as LANSCE at Los Alamos, or pulsed power facilities such as the National Ignition Facility (NIF) at Livermore and the OMEGA facility at LLE/Rochester. In addition to AIR instrument development and experiments, data-driven methods including ML and AI present unprecedented new opportunities for AIR with interdisciplinary impact and unparalleled possibilities. LANL is a world-leading multi-disciplinary institute that houses state-of-the-art experimental and computational facilities and collaborates with other national and international organizations such as Argonne, Oak Ridge National Laboratory (ORNL), SLAC, and DESY in Germany.
The project will adhere to a milestone-driven schedule. The successful candidate will be a key member of a multi-disciplinary team striving to develop and use AIR instruments to implement data methods for experiments using X-rays and other messenger particles. The AIR postdoc has excellent promotion and leadership potential. The candidate will also have the opportunity to lead high-impact research papers, to present the results at national and international conferences, and to pave the way towards a successful career.
What You Need
Minimum Job Requirements:
Demonstrated ability to carry out independent and/or collaborative research experiments in AIR, data analysis methods, or a closely related discipline, as evidenced by papers submitted to or published in a peer-reviewed journal or equivalent.
Sound academic training in fundamental physics, material science, chemistry, biology, or any other related discipline.
Fluent use of at least one of the major computer languages such as C/C++ or Python.
Demonstrated written and oral ability when communicating technically and interpersonally.
Excellence in experimental design and instrumentation, in particular, imaging instrumentation.
Experience with radiography, PCI, and Fourier imaging calculations and code development.
Experience with high-performance computing platforms. GPU/TPU accelerated algorithm development such as deep learning.
Experience with commercial and open source data analysis using software tools such as MATLAB or others.
Education: A Ph.D. in experimental or computational science or a very closely related discipline, earned within the last five years.
Note to Applicants:
In addition to applying online, it is recommended that interested candidates also send their inquiries, and CV including a list of peer-reviewed publications, invited talks, and the names and contact information of at least three references to Dr. Zhehui Wang (email@example.com )
To receive full consideration, please ensure that your application package provides all of the information requested above
We encourage applications from under-represented groups in the field of AIR.
This position does not require a DOE Q clearance.
Evaluation of applications will commence immediately and continue until the position is filled.
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.
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
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.
Candidates may be considered for a Director's Postdoc Fellowship and outstanding candidates may be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
For more information about the Postdoc Program, go to https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php.
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 firstname.lastname@example.org or call 1-505-665-4444 option 1. Appointment Type
Vacancy Name: IRC84875
Organization Name P-4/Thermonuclear Plasma Physics
Req ID: IRC84875