Postdoctoral Appointee - Data Driven Optimization

Sandia National Laboratories

Albuquerque, NM

ID: 7078555 (Ref.No. 676397)
Posted: May 15, 2021

Job Description

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time. : Our team is seeking a hardworking postdoctoral appointee to develop randomized and adaptive algorithms for variational problems including (quasi-)variational inequalities and nonsmooth optimization. Project developments will have impact in contact mechanics, ice sheet modeling, and computational design and optimization. On any given day, you may be called on to: + Develop fundamental algorithm research on optimization oriented towards massive scale parallel computing + Publish research in leading technical journals and present work at premier conferences and workshops + Implement research ideas and contribute towards capability development in our department's flagship computing codes + Work well with a team of people focused in this area of research

Required:
+ You have, or are pursuing, a PhD in mathematics, statistics, computational mechanics, or a related field + Shown experience with scientific programming, preferably in C++ on high performance computing systems + Ability to acquire a DOE Q-level security clearance + Proven track record of peer reviewed scientific publications and presentations (Publication list should be included as part of the CV)

Desired:
+ Experience with both smooth and non-smooth optimization techniques, variational inequalities, partial differential equations, stochastic differential equations, dynamic programming, stochastic programming, reinforcement learning, generative modeling, and/or experimental design + Excellent written and verbal interpersonal skills + Experience in machine learning with an emphasis on optimization + Experience implementing algorithms on heterogeneous computing architectures

Department Description:

The Optimization and Uncertainty Quantification Department is housed within Sandia’s Center for Computing Research (ccr.sandia.gov). The department’s mission is to provide leadership in the research, development, and application of scientific optimization and UQ algorithms and software, in support of Sandia’s many mission areas. Staff members work in a collaborative, highly multidisciplinary, team-based environment. The department produces several open-source, scientific software packages including Dakota (https://dakota.sandia.gov) and ROL (Rapid Optimization Library – https://trilinos.org/packages/rol/). Broad partnerships are maintained at many levels, and collaborations are actively carried out with other government institutions, universities and industry. The department frequently hosts students and faculty from world-class universities for extended visits through the Computer Science Research Institute (CSRI; see http://www.cs.sandia.gov/CSRI/). Our team is committed to nurturing a culture compatible with a broad group of people and perspectives in accordance with the changing makeup of the workforce. In support of this vision, our center actively recruits applicants from diverse groups of backgrounds and fosters an inclusive community. Join us and work towards your goals while making a difference!

About Sandia:

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide • Extraordinary co-workers • Some of the best tools, equipment, and research facilities in the world • Career advancement and enrichment opportunities • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) • Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification.

Security Clearance:

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. : This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment. Individuals in postdoctoral positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.



 

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