美国洛斯阿拉莫斯国家实验室算法性能预测方向博士后职位

　　美国洛斯阿拉莫斯国家实验室算法性能预测方向博士后职位

　　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 various aspects of hardware-software performance prediction of algorithms. A primary goal is to develop accurate, scalable simulation models for performance prediction of various science algorithms running on next generation computing hardware. The simulation models and simulation based analysis of science algorithms will directly benefit LANL's scientific and national-security missions.

　　The successful candidate will be expected to conduct research to develop scalable Parallel Discrete Event Simulation (PDES) based models for both hardware and software components of modern high performance computing environments, develop theoretical, algorithmic, and simulation tools for use within the framework of LANL’s open source Simian engine, and Performance Prediction Toolkit (PPT) communicate research results through reports, presentations, and peer- reviewed publications.

　　LANL has a history of ground-breaking achievements in scientific computing, discrete event simulations, and hardware-software co-design. You will have the opportunity to work with internationally recognized experts in the field.

　　What You Need

　　Minimum Job Requirements:

　　PhD or equivalent in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field from an accredited college or university

　　Substantial research experience in algorithm performance prediction, discrete event simulation and/or hardware-software co-simulation

　　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

　　Desired Skills:

　　Experience with computational hardware performance analysis

　　Programming experience with C, C++, Python or Lua, and demonstrated software engineering skills; or/and relevant industry experience

　　Familiarity with a discrete event parallel simulation engines and related tools: ROSS, LANL Simian engine, LANL-PPT framework etc

　　In depth knowledge of scalable parallel algorithms, including MPI, threads, OpenMP, etc

　　Working knowledge of scientific computing and numerical methods, graphical modeling, machine learning/deep learning, and hardware-software codesign process

　　Education: PhD in related field completed within the past five years or soon to be completed.

　　Notes 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. See https: // www. lanl.gov/careers/career-options/postdoctoral-research/postdoc- program/postdoc-appointment-types.php for details.

　　For further questions, please contact Nandakishore Santhi at nsanthi@lanl.gov

　　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, https:// int.lanl.gov/employees/postdoc- program/becoming-postdoc/appointments/salary-guidelines.shtml

　　Additional Details:

　　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 regards 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.

　　Where You Will Work

　　Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

　　Appointment Type

　　Postdoc

　　Contact DetailsContact NameEmailWork TelephoneVacancy Name: IRC77475 Organization Name CCS-3/Information Sciences Minimum SalaryMaximum SalaryReq ID: IRC77475