Los Alamos National Laboratory Neural/Neuromorphic Machine Learning Postdoc in Los Alamos, New Mexico
What You Will Do
Los Alamos National Laboratory (LANL) is seeking an outstanding postdoctoral researcher to work both independently and in a team environment on the development and implementation of advanced novel computing algorithms for machine learning based on neuroscience principles. Our group is working to identify and develop neural or neuromorphic mechanisms to use for implementing machine learning algorithms and protocols. We are working to develop algorithms for implementation in neuromorphic simulation environments and on-processor to benefit both LANL's scientific and national-security missions.
The successful candidate will be expected to identify areas of promise in neuroscience-based or neuromorphic computing, as well as developing spiking neuromorphic algorithms for exploiting neuromorphic computing technologies. You will additionally be expected communicate research results through reports, presentations, and peer-reviewed publications.
LANL has a history of ground-breaking achievements in neuromorphic computing. You will have the opportunity to work with internationally recognized experts in the field.
What You Need
Minimum Job Requirements:
PhD or equivalent in Neuroscience, Computer Science, Engineering, Physics or a related field from an accredited college or university.
Research experience in one or more of the fields of neural computing, neuromorphic computing, and computational neuroscience.
Demonstrated research ability, as evidenced by publications, reports, presentations, awards, etc.
Excellent communication skills, as evidenced by publications and a cogent cover letter
Evidence of strong interpersonal skills and ability to collaborate effectively in a team environment
Programming experience with Python, or other programming language and able to rapidly come up to speed with Python, and demonstrated software engineering skills
Experience with Brian 2, Nengo, N2S3, BrainScaleS 2, Lava or similar computational environments and/or neuromorphic hardware such as SpiNNaker, Intel Loihi, IBM TrueNorth
Experience in machine learning algorithms, such as backpropagation, reinforcement learning, or other similar methodologies.
Education: PhD in related field (see Minimum Job Requirements, above) completed within the past five years or soon to be completed .
Note to Applicants:
To apply, please use the “apply now” button below. Please include a curriculum vitæ with a publication list—preferably with citation counts—and a detailed cover letter (guideline: 1–2 pages) that describes your research interests and qualifications and addresses how your qualifications meet the job requirements. You should provide the names of three people who can serve as references for your abilities.
The position has a flexible starting date.
Strong candidates may be eligible for a Laboratory fellowship. Seehttps://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-program/postdoc-appointment-types.php for details.
For further questions, please contact A. Sornborger at email@example.com
Salary - Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. On the anniversary of these dates, salaries are automatically adjusted to the next higher level, e.g., PhD + 0: $74,000; PhD + 1: $75,900, etc. For more information see our Postdoc Salary Guidelines,http://int.lanl.gov/employees/postdoc-program/becoming-postdoc/appointments/salary-guidelines.shtml
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: IRC89755
Organization Name CCS-3/Information Sciences
Req ID: IRC89755