Job Description:
Posting Duration:
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.
What Your Job Will Be Like:
Are you passionate about integrating computational methods and modeling with experimental results using novel machine learning techniques to extract useful knowledge that can help determine how the material microstructure impacts the corrosion performance of a material? If so you'll want to consider applying for this opportunity to join our dynamic multidisciplinary team.
We are seeking a hard working Postdoctoral Appointee to conduct research on developing accelerated and data-driven predictions of the corrosion of materials.On any given day you may be called on to:
- Plan conduct and analyze high-fidelity computer simulations of corrosion behavior at different length scales in order to understand the effect that materials structure has on the performance of the material
- Synthesize materials knowledge using data-driven and machine learning techniques in order to link material properties and corrosion response to the underlying microstructure and environmental parameters
- Work in collaborative environments on multidisciplinary technically challenging projects as part of a dynamic research organization
- Collaborate with specialists in other fields to integrate groundbreaking electrochemical experimental results into computational models
- Communicate accomplishments in presentations at international conferences; write and publish work in peer-reviewed journals; and propose and advocate for novel research
Qualifications We Require:
- Possess or are pursuing a PhD in materials science physics chemistry applied mathematics mechanical engineering or related field plus possess a bachelor's in a science technology engineering or mathematics (STEM) field
- Experience in computational mesoscale materials modeling techniques for microstructural study such as kinetic Monte Carlo phase-field methods finite element methods cellular automata
- Demonstrated expertise using modern programming languages
- A proven track record of publishing original research in peer-reviewed journals and presentations at professional conferences
Qualifications We Desire:
- Technical expertise and background in electrochemical modeling.
- Expertise in model-building and model-analysis techniques using common data-science tools (e.g. PyTorch Sci-Kit Learn etc.)
- Proven ability to establish strong collaborations with both computational scientists and experimentalists
- Effective interpersonal skills and proven ability to establish positive collaborations
- Strong technical writing and interpersonal skills
About Our Team:
The Computational Materials and Data Science Department provides advanced computational analysis that enables materials-based insight and solutions. Capabilities include model development for nanoscalar and mesoscalar materials evolution interfacial dynamics defect initiation and propagation multivariate analysis and signal processing. We conduct experiments in micromechanics and volumetric flaw distribution to validate our computational work. Our multidisciplinary background and materials science expertise enable mechanistic and physical understanding related to aging and wear of materials such as metals semiconductors biomaterials and polymers in support of DOE nuclear and non-nuclear missions.
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.
Join us and work towards your goals while making a difference!
About Sandia:
Sandia National Laboratories is the nations 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:
This position does not currently require a Department of Energy (DOE) security clearance.
Sandia will conduct a pre-employment drug test and background review that includes checks of personal references credit law enforcement records and employment/education verifications. Furthermore employees in New Mexico need to pass a U.S. Air Force background screen for access to Kirtland Air Force Base. Substance abuse or illegal drug use falsification of information criminal activity serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated resulting in the inability to perform the duties assigned and subsequent termination of employment.
If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position or you bid on positions that require a clearance a pre-processing background review may be conducted prior to a required federal background investigation. Applicants for a DOE security clearance need to be U.S. citizens. 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.
Members of the workforce (MOWs) hired at Sandia who require uncleared access for greater than 179 days during their employment are required to go through the Uncleared Personal Identity Verification (UPIV) process. Access includes physical and/or cyber (logical) access as well as remote access to any NNSA information technology (IT) systems. UPIV requirements are not applicable to individuals who require a DOE personnel security clearance for the performance of their SNL employment or to foreign nationals. The UPIV process will include the completion of a USAccess Enrollment SF-85 (Questionnaire for Non-Sensitive Positions) and OF-306 (Declaration of for Federal Employment). An unfavorable UPIV determination will result in immediate retrieval of the SNL issued badge removal of cyber (logical) access and/or removal from SNL subcontract. All MOWs may appeal the unfavorable UPIV determination to DOE/NNSA immediately. If the appeal is unsuccessful the MOW may try to go through the UPIV process one year after the decision date.
EEO:
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.
Position Information:
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.
Job ID: 687404
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