Company

SandiaSee more

addressAddressAlbuquerque, NM
type Form of workPart-Time
CategoryInformation Technology

Job description

What Your Job Will Be Like
We are seeking a Intern Summer - R&D Grad
The Machine Intelligence and Visualization department at Sandia National Laboratories invites applications for a graduate student intern to participate in collaborative research in low-rank tensor methods. This internship is for a motivated and enthusiastic individual with excellent communication skills and who desires to gain research experience in a highly collaborative research environment. The successful applicant will be exposed to a wide range of computational research at Sandia and will have a strong project-based research experience working directly with Sandia staff scientists.
This opportunity is for our Albuquerque, NM location.
What You Can Gain
  • Resume-building direct research experience with a Sandia staff member.
  • Exposure to a wide array of Sandia R&D activities through a specialized summer seminar series for CSRI Interns.
  • Networking with world-class researchers
  • Authorship and publication of an article on your summer research in the annual Summer Proceedings.
  • Poster presentation experience

Qualifications We Require
You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:
  • Earned bachelor's degree
  • Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 40 hours per week during the summer
  • Ability to independently obtain authorization to work lawfully in the US for Sandia National Laboratories. Sandia will not sponsor work authorization for this position

Note: If you have not yet started your graduate program, please apply to an undergraduate intern position.
Qualifications We Desire
  • Ability to perform in highly collaborative and interdisciplinary, team-focused environments.
  • A demonstrated ability to develop technical ideas and results and present them in oral and written form to audiences with diverse technical backgrounds.
  • Prior research peer-reviewed publications are highly desirable
  • Dedication to encouraging an inclusive culture.
  • Research experience the following areas:
    • mathematical statistics
    • probability theory
    • concentration inequalities
    • low-rank tensor decompositions
    • randomized tensor algorithms
    • manifold learning
    • exploiting symmetries in dimension reduction techniques
    • graph theory
    • exploiting symmetries in graph algorithms
  • Programming experience in a language such as Python

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.
About Our Team
The Machine Intelligence and Visualization department conducts cutting-edge research in machine learning and artificial intelligence for national security applications, including the advanced visualization of data and results. Our mission is to research, develop, and deploy methods that are credible, robust, and help decision makers in a variety of domains. Specific focus areas include geospatial analytics, tensor methods, intelligent agents, knowledge representation, open-source data analytics, and computational social science, though we incorporate a wide variety of skill sets in our work. We interact and collaborate with a broad range of Sandia staff and government customers while also maintaining a research presence in the external professional community by collaborating with both universities and industry. Members of the department publish peer-reviewed literature, participate in professional societies, and referee for conferences and journals
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
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.
NNSA Requirements for MedPEDs
If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.
If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.
Refer code: 6936509. Sandia - The previous day - 2023-12-13 12:22

Sandia

Albuquerque, NM
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