Los Alamos National Laboratory Deep Learning for Computational Imaging Postdoc in Los Alamos, New Mexico
What You Will Do
Become part of a team that thrives on challenge, innovation, and mission-driven science. The Geophysics Group (https://www.lanl.gov/org/ddste/aldcels/earth-environmental-sciences/geophysics/index.php) in the Earth and Environmental Sciences (https://ees.lanl.gov) Division at Los Alamos National Laboratory (https://www.lanl.gov/)
We have an immediate opening for a creative and resourceful postdoctoral researcher with strong computational skills and experience in imaging inverse problems and deep learning methods. We are seeking a highly-motivated individual to join a multidisciplinary research team consisting of machine learning scientists, computational scientists and domain experts to conduct cutting-edge machine learning research for computational imaging, with application to subsurface, material and other scientific domains.
The Geophysics Group focuses on a broad array of energy, environmental and national security challenges with research into seismology, infrasound, ground-shock modeling, and acoustics to address critical needs in energy, seismic hazards, threat detection and reduction, earthquake prediction, and subsurface imaging.
What You Need
Minimum Job Requirements:
Strong computational science and numerical optimization skills in particular, computational imaging and inverse problems
Strong deep learning skills and practical experience in various neural network architectures (DNN, CNN, RNN/LSTM, GAN or other auto encoder)
Practical experience with machine learning packages such as PyTorch, TensorFlow, Keras, etc.
Code development and computational experience in using high-performance parallel computing resources
Solid publication record in high-impact journals, top-tier machine learning and related conferences
Excellent communication, writing and oral presentation skills, and
Strong programming skills, in Python in particular.
Education/Experience : A Ph.D. in Computer Sciences, Applied Math, Computational Sciences, Electrical Engineering or closely related field is required. The candidate must have completed all Ph.D. requirements by commencement of the appointment and be within 5 years of completion of the Ph.D.
- Demonstrated ability to work creatively and independently and in a team environment.
Note to Applicants:
In addition to submitting a CV, please submit a cover letter briefly addressing how you meet the job requirements and the desired skills. CV should include educational background with degree dates and GPAs with scale, experience and expertise, a list of peer-reviewed publications and conference presentations, competitive honors/awards, and contact information of four references.
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.
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.
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)
Vacancy Name: IRC81985
Organization Name EES-17/Geophysics
Req ID: IRC81985