We welcome 20 students to the 2021-22 class of MICDE graduate fellows

By | Feature, News

MICDE is proud to announce the recipients of the 2021 MICDE graduate fellowships. The fellows’ research projects involve the use and advancement of scientific computing techniques and practices. “This year, MICDE awarded fellowships in a wide array of disciplines ranging from chemistry to biostatistics and interdisciplinary mathematics to applied physics,” said Krishna Garikipati, MICDE director and professor of mechanical engineering and mathematics. “Engineering is also well represented with fellows focused on disciplines such as aerospace, biomedical, civil and environmental, climate and space, industrial and operations, materials science, mechanical, and naval architecture and marine engineering.”

For the past seven years, MICDE has awarded fellowships to over 135 graduate students from our large community of computational scientists. “I am so excited and honored to be a part of the MICDE Fellowship program. My research interest is in an interdisciplinary field between healthcare and data science. This fellowship symbolizes my core value for career development as a data scientist in healthcare,” said 2021 MICDE Fellowship recipient Hyeon Joo, Ph.D. pre-candidate in health infrastructure and learning systems and scientific computing. The MICDE graduate student top-off fellowship provides students with a stipend to use for supplies, technology, and other materials that will further their graduate education and research. Among other things, awards have helped many to travel to conferences and meetings around the world to share the rich and diverse research in computational science being carried out at U-M.

Yifu An, Climate and Space Sciences Engineering
Andre Antoine, Applied Physics
Shreyas Bhat, Industrial and Operations Engineering
Erin Burrell, Mechanical Engineering and Scientific Computing
Alanah Cardenas-O’Toole, Climate and Space Sciences Engineering
Brian Chen, Applied and Interdisciplinary Mathematics
Xinyu Fei, Industrial and Operations Engineering and Scientific Computing
Nicholas Galioto, Aerospace Engineering
Vishwas Goel, Materials Science and Engineering and Scientific Computing
Min-Chun Han, Civil and Environmental Engineering
Dalia Hassan, Chemistry and Scientific Computing
Alexander Hrabski, Naval Architecture and Marine Engineering and Scientific Computing
Javiera Jilberto Vallejos, Biomedical Engineering and Scientific Computing
Hyeon Joo, Learning Health Sciences and Scientific Computing
Timothy Jugovic, Chemistry and Scientific Computing
Ismael Mendoza, Physics and Scientific Computing
Aagnik (Nick) Pant, Applied Physics and Scientific Computing
Hardik Patil, Civil and Environmental Engineering
Amanda Wang, Materials Science and Engineering
Wenbo Wu, Biostatistics and Scientific Computing

Learn more about the fellows and the MICDE Fellowship program

Postdoc Position in Mechanical/Biomedical Engineering at the University of Michigan

By | News, SC2 jobs

Job Description:

Example of an image-based geometric model of a human aorta, discretized using an unstructured linear tetrahedral mesh.

Prof. Jesse Capecelatro in the Department of Mechanical Engineering and Prof. Alberto Figueroa of Biomedical Engineering are currently seeking a post-doctoral scholar for a one-year position.

The project aims at developing a numerical framework to simulate a large number of particles within the human body, from deformable red blood cells within arteries to better understand stroke, to rigid calcite particles in the ear canal responsible for vertigo. This will be performed within the CRIMSON (CardiovasculaR Integrated Modeling and SimulatiON) software environment, a Fortran-based finite element solver that simulates fluid flow in patient-specific geometries on unstructured grids.

Required Qualifications:

  • PhD in Engineering or a related field (e.g., Physics, Mathematics, or Computer Science)
  • Experience in Scientific Computing (proficiency in MPI and Fortran/C)
  • Interest in biological fluid dynamics and multiphase flow.

How to Apply:

If you are interested in this position, please email your curriculum vitae and at
least two references to Jesse Capecelatro (jcaps@umich.edu).

2021-2022 Catalyst Grant awardees continue to forge new fronts in computational science

By | Feature, News, Research

The Michigan Institute for Computational Discovery and Engineering (MICDE) announced the awardees of the 2021-2022 round of Catalyst Grants. Since 2017 MICDE Catalyst Grants program has funded a wide spectrum of cutting-edge research, this year focusing on AI for physically-based biomedicine, quantum computing, convergence of natural hazards with economic dislocation, and computational integration across scales and disciplines in biology. The five projects awarded in this round represent these new frontiers of computational research spearheaded by the Institute through its initiatives.

Prof. Shravan Veerapaneni (Mathematics) is working on advancing quantum algorithm research. His team will develop a Variational Quantum Monte Carlo algorithm that can potentially be applied to a wide range of linear algebraic tasks, like QR and Singular Value Decomposition (SVD). 

Profs. Salar Fattahi (Industrial and Operations Engineering) and Arvind Rao (Computational Medicine and Bioinformatics, Biostatistics) are revisiting existing theoretically powerful maximum-likelihood estimation mathematical methods to identify areas of weakness and strengthen them for use in biomedical, largely genomic, applications.

Profs. Gary Luker (Microbiology and Immunology), Nikola Banovic (Electrical Engineering and Computer Science), Xun Huan (Mechanical Engineering), Jennifer Linderman (Biomedical Engineering and Chemical Engineering), and Kathryn Luker (Radiology), will develop a physics/chemistry-aware inverse reinforcement learning (IRL) computational framework that will support the understanding single-cell and cooperative decision-making that drive tumor growth, metastasis, and recurrence.

Profs. Seth Guikema (Civil and Environmental Engineering and Industrial and Operations Engineering) and Jeremy Bricker (Civil and Environmental Engineering) will develop an integrated computational modeling approach to studying equity and resilience during natural hazard events, specifically estimating what essential services are the main constraints on individuals returning to a more normal life post-hazard, and assess inequities in resilience to coastal flooding events. 

Prof. Jesse Capecelatro (Mechanical Engineering and Aerospace Engineering) and Alberto Figueroa (Biomedical Engineering and Vascular Surgery), will develop a versatile, physics-driven, computationally efficient, and massively parallel numerical framework to simulate the interaction between fluids and biological particles in patient-specific vasculature geometries. This framework will enable next-generation computer-aided diagnostics.

“This year’s cohort of MICDE Catalyst Grants range from quantum computing for engineering science, AI for the physics of cancer, and computational advances in hazards engineering, through mathematical advances in data science, and bioengineering,” said MICDE Director Krishna Garikpati, a professor of mathematics and mechanical engineering. “These projects represent new frontiers of computational research spearheaded by MICDE through its initiatives.”

Learn more about MICDE’s Catalyst Grant program and funded projects here.

“This year’s cohort of MICDE Catalyst Grants … represent new frontiers of computational research spearheaded by MICDE through its initiatives.”

Krishna Garikipati
Director, MICDE

Postdoc Position at Sandia National Labs on Computational Materials and Data Science

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Sandia National Labs is hiring postdoctoral researchers to support work on computational materials and data science.


What Your Job Will Be Like:

We are seeking hardworking emerging scientists interested in working at the intersection of computational materials science, data science, and materials characterization. The candidate will be part of a team of scientists developing and deploying machine-learning-based and computational materials science capabilities to (i) detect and reveal mechanisms associated with physical and chemical processes occurring during manufacturing of nanostructured materials, (ii) prognose materials behavior, and (iii) adapt manufacturing of these materials. These capabilities that are developed are expected to become enduring toolsets for both in-house and visiting researchers at the Center for Integrated Nanotechnologies (CINT) and supporting various projects across the laboratories’ complex.

 

Required Qualifications:

  • Possess, or are nearing completion of, a PhD in Applied Mathematics, Computational Sciences, Materials Science & Engineering, Physics, or related field.
  • Demonstrated research success, written communication, and presentation skills as evidenced by a record of publication in peer-reviewed journals and external presentations at professional scientific conferences
  • Experience with advanced data analysis techniques and/or computational materials science tools such as molecular dynamics, phase field, etc.

Desired Qualifications:

  • Familiarity or direct experience with machine learning/artificial intelligence
  • Proven programming skills in Python, Matlab, Mathematica, C++, or similar
  • Experience with image analysis techniques
  • Experience in direct comparison of experimental and modeling data
  • Experience with mechanical, chemical, thermal and/or irradiation properties of materials
  • Interest in developing new analysis techniques
  • Interest in developing capabilities with commercialization potential
  • Interest in collaborative team-based research

About the Team:

The Nanostructure Physics department (01881) conducts research to establish the scientific principles that govern the design, performance, and integration of nanoscale materials into microscale and macroscale systems and devices. Department members perform discovery and use-inspired basic research in support of the DOE/SC Center for Integrated Nanotechnologies (CINT) and other Sandia programs. CINT is a DOE/Office of Science National User Facility operated jointly by Sandia and Los Alamos National Laboratories with facilities at both Laboratories.

Our team is committed to nurturing environment 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!

 

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.

 

How to Apply:

1. Select the link to access our careers site.
2. Sign In to access your account or if you are not an existing user select the New User link to create one.
3. Review the job description and select the Apply button to begin your application.

 

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.

Summer STEM Institute (SSI) Teaching Opportunties

By | News, SC2 jobs

The Summer STEM Institute (SSI) is a virtual education program that teaches programming, data science, and research.

 

SSI is currently hiring for both part-time and full-time roles for summer 2021. Both roles offer competitive compensation.

Role 1: Part-Time Research Mentor (10-15 hours/week):

Responsibilities: Lead a virtual lab of 2-3 students; mentor students through the ideation and completion of their own computational or theoretical research projects; support students through the creation of weekly research deliverables, including a background research report, a research proposal, and a final paper and presentation

Qualifications: Passion for teaching and mentorship; graduate student, postdoctoral fellow, or (in exceptional circumstances) undergraduate with extensive programming or research experience in a computational or theoretical field; past research experiences and deliverables, including published papers and presentations

Note: Research mentors are able to work for the program alongside full- time job, internship, or research commitments.

Role 2: Full-Time Teaching Fellow (40 hours/week):

Responsibilities: Teach and work closely to support students through the data science and research bootcamp, answer student questions and discussion board posts; host office hours; leave feedback on student homework assignments

Qualifications: Passion for teaching and mentorship; experience with Python programming and data science libraries (numpy, pandas, matplotlib, sklearn); experience with data science and the research process


Interested undergraduate and graduate students are encouraged to apply. Please fill out this 2-minute interest form. If we decide to move forward with your application, we will send more information about the roles and also times to schedule an interview. If you have any questions, please reach out to hiring@summersteminstitute.org.

Seeking Master’s Student Research Engineer to Build GUI for IGA Meshing

By | News, SC2 jobs

YB Numerics Inc. is seeking to hire a research engineer to work on the development of a meshing tool and GUI to support general-purpose volumetric mesh generation for Isogeometric Analysis (IGA).

 

IGA is a novel computational modeling approach that makes use of smooth spline functions commonly employed in Computer-Aided Design and Computer Graphics to carry out Finite Element Analysis in solid and fluid mechanics, coupled fluid-structure interaction (FSI), and other areas.

 

The ideal candidate would be someone pursuing their MS degree in Computational Science and Engineering or Computer Science. The engagement can be from 20 hours/week all the way to full-time employment. The candidate may work remotely, relocation to the Providence area is not required. The candidate may also use some products of this work to contribute to his/her MS thesis if desired.

 

Duties:
The research engineer will mainly work on the implementation of a GUI for generating volume meshes for IGA using the multiblock Non-Uniform Rational B-Spline (NURBS) technology. The research engineer will also help generate NURBS meshes and carry out computational analyses of solid and fluid mechanics applications using the meshes produced by the meshing tool. The research engineer will interact with the YB Numerics and Rice University team members and their collaborators on the GUI development, NURBS meshing, and numerical simulations.

 

Required Qualifications:
– Bachelor’s degree in Computer Science or Mechanical, Civil or Aerospace (or related)
Engineering
– Experience with Qt GUI programming (Qt OpenGL and WebGL)
– Experience with team programming environments (GitHub/GitLab, CMake, Docker)
– Must be a US Citizen or Permanent Resident

 

Desired Qualifications:
– Master’s degree
– Good knowledge of geometric modeling
– Good knowledge of numerical methods
– Knowledge of fluid and solid mechanics
– Experience with Fortran 90 programming
– Experience with high-performance computing (MPI, OpenMP)


Interested candidates should send an e-mail to ybnumerics@gmail.com with the
subject line “Interested in IGA Meshing Tool and GUI Development”.

Argonne Training Program on Extreme-Scale Computing

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The annual Argonne Training Program on Extreme-Scale Computing (ATPESC) is set to take place August 1–13, 2021. The call for applications is now open through March 1, 2021.

 

Apply now for an opportunity to learn the tools and techniques needed to carry out scientific computing research on the world’s most powerful supercomputers. ATPESC participants will be granted access to DOE’s leadership-class systems at the ALCF, OLCF, and NERSC.

The Argonne Training Program on Extreme-Scale Computing (ATPESC) provides intensive, two-week training on the key skills, approaches, and tools to design, implement, and execute computational science and engineering applications on current high-end computing systems and the leadership-class computing systems of the future.

The core of the program will focus on programming methodologies that are effective across a variety of supercomputers and that are expected to be applicable to exascale systems. Additional topics to be covered include computer architectures, mathematical models and numerical algorithms, approaches to building community codes for HPC systems, and methodologies and tools relevant for Big Data applications.

PROGRAM CURRICULUM

Renowned scientists and leading HPC experts will serve as lecturers and guide the hands-on sessions. The core curriculum will cover:

  • Hardware architectures
  • Programming models and languages
  • Data-intensive computing and I/O
  • Visualization and data analysis
  • Numerical algorithms and software for extreme-scale science Performance tools and debuggers
  • Software productivity
  • Machine learning and deep learning tools and methods for science

ELIGIBILITY AND APPLICATION

Doctoral students, postdocs, and computational scientists interested in attending ATPESC can review eligibility and application details on the website.

There are no fees to participate in ATPESC. Domestic airfare, meals, and lodging are also provided. Application deadline: March 1, 2021.

Doctoral students, postdocs, and computational scientists interested in attending ATPESC can review eligibility and application details on the application instructions web page.

The event will be held in the Chicago area. If an in-person meeting is not possible, it will be held as a virtual event.

Note: There are no fees to participate. Domestic airfare, meals, and lodging are provided.

IMPORTANT DATES – ATPESC 2021

  • March 1, 2021 – Deadline to submit applications
  • April 26, 2021 – Notification of acceptance
  • May 3, 2021 – Account application deadline

For more information, contact support@extremecomputingtraining.anl.gov

Los Alamos National Laboratory, Multiple HPC Intern Summer Opportunities

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For questions about internships and instructions on how to apply, please email HPCRecruits@lanl.gov


HPC Data Movement and Storage Team: Upcoming Student Project Opportunities

PROJECT: EMERGING STORAGE SYSTEM(S) EVALUATION

(Lead Mentor: Dominic Manno)

Storage systems are evolving as technology, such as flash, becomes economically viable. Vendors implementing cutting edge hardware solutions often approach LANL to help gain insight into how these systems could move into the real world (HPC applications). Work in this area includes potential modifications to filesystems, filesystem configuration/tuning, testing hardware, fixing bugs, finding bottlenecks anywhere in the stack in order to increase efficiency and make the storage system faster.

Preferred skills:

● Interest in HPC and storage systems
● Comfortable with computer hardware
● Strong analytical skills
● Benchmarking experience
● Experience with linux and scripting (bash, csh, Python, etc.)
● Comfortable with C programming

PROJECT: FILE SYSTEM(S) FEATURE AND TOOLSET EVALUATIONS

(Lead Mentor: Dominic Manno)

File systems evolve along with user requirements. New features are implemented to accommodate changing workloads and technology. LANL’s storage team must evaluate new features and their impact on HPC applications. This work will explore file system features, modifications to current build procedures/processes, and impact to LANL’s storage team metric collection tooling. Work in this area includes building source code (kernel included), configuring linux servers, configuring a basic distributed file system, benchmarking, experiment design, analysis of data, and scripting.

Preferred skills:

● Knowledge of and interest in filesystems
● Experience with Linux and Command Line Interface
● Experience with code build systems and software
● Interest in HPC and storage systems at scale
● Benchmarking experience

ABOUT THE HPC DATA MOVEMENT AND STORAGE TEAM:
The High Performance Computing (HPC) Data Storage Team provides vanguard production support, research, and development for existing and future systems that feed and unleash the power of the supercomputer. The Data Storage Team designs, builds and maintains some of the largest, fastest and most complex data movement and storage systems in the world, including systems supporting 100 Petabytes of capacity. We provide storage systems spanning the full range of tiers from the most resilient archival systems to the pinnacle of high-speed storage, including all-flash file systems and systems supplying bandwidth that exceeds a terabyte per second to some of the largest and fastest supercomputers in the world. Innovators and builders at heart, the Data Storage team seeks highly motivated, productive, inquisitive, and multi-talented candidates who are equally comfortable working independently as well as part of a team. Team member duties include: designing, building, and maintaining world-class data movement and storage systems; evaluating and testing new technology and solutions; system administration of HPC storage infrastructure in support of compute clusters; diagnosing, solving, and implementing solutions for various system operational problems; tuning file systems to increase performance and reliability of services; process automation.


HPC Platforms Team: Upcoming Student Project Opportunities

PROJECT: HPC CLUSTER REGRESSION
(Lead Mentor: Alden Stradling)

Building on work done by our interns this summer, we are continuing the process of adapting existing regression testing software to do system-level regression testing. Using the LANL- developed Pavilion2 framework in combination with Node Health Check (NHC) for more detailed information, our interns are moving the system from proof-of-concept in a virtualized test cluster to production-style systems to measure effectiveness and system performance impact, and to flesh it out as a running system. Also on the agenda is to make test creation and propagation simple, allowing regression detection to be added at the same time as fixes are made to the system.

Preferred skills

• Interest in HPC and modern infrastructure management at scale
• Problem solving and creativity
• Configuration Management
• Version Control
• Programming experience in bash, python or perl
• Strong background in UNIX and familiarity using CLI

About the HPC Platforms Team
The High Performance Computing (HPC) Platforms Team provides vanguard system and runtime support for some of the largest and fastest supercomputers in the world, including multi-petaop systems (e.g., the recently deployed 40 Peta operations per second Trinity Supercomputer). Troubleshooters and problem- solvers at heart, the HPC Platforms Team seeks highly motivated, productive, inquisitive, and multi-talented candidates who are equally comfortable working independently as well as part of a team. Team member duties include: system deployment, configuration, and full system administration of LANL’s world-class compute clusters; evaluating and testing new technology and solutions; diagnosing, solving, and implementing solutions for various system operational problems; system administration of HPC network infrastructure in support of compute clusters; diagnosing, solving, and implementing solutions for various system operational problems; system software management and maintenance, including security posture maintenance; tuning operating systems to increase performance and reliability of services; developing tools to support automation, optimization and monitoring efforts; interacting with vendors; and communicating and collaborating with other groups, teams, projects and sites.


HPC Design Group: Upcoming Student Project Opportunities

PROJECT: OPTIMIZING “SPACK CONTANERIZE” FOR USE WITH CHARLIECLOUD

(Lead Mentor: Tim Randles)

The Spack software package manager has the ability to output software build recipes as dockerfiles. These dockerfiles often require hand-editing to work well with Charliecloud. In this project you will work with the Charliecloud team at Los Alamos to identify common problems with Spack dockerfiles. You will then determine if these problems are best addressed by making changes to Charliecloud’s dockerfile support or if there are improvements that should be proposed to Spack’s containerize functionality. The intern will be expected to implement suggested changes. At the end of the summer the intern will present their work.

PROJECT: BUILDING A GITLAB TEST INFRASTRUCTURE USING THE ANSIBLE REPOSITORY

(Lead Mentor: Cory Lueninghoener)

Use Gitlab’s CI/CD pipeline and runner functionality to build an automated test infrastructure for checkins to our Git-backed Ansible repository. This would start out with getting familiar with Gitlab’s automated pipeline capabilities and running tasks on code checkin, and move on to simple linting tests that run each time a change is checked in. From there, it could move on to running larger test suites on VMs or in containers, all the way up to building and testing virtual clusters and tagging good cluster image releases.

About the HPC DES Group:
The High Performance Computing Design Group focuses on future technologies and systems related to HPC while providing technical resources when needed to the more production focused HPC Groups. Areas of focus include I/O and storage, future HPC architectures, system management, hardware accelerators, and reliability and resiliency. Production timescales of projects vary from weeks in the future for production deployments to 10 years or more for some of the reliability and future architecture work.


Where You Will Work:
Our diverse workforce enjoys a collegial work environment focused on creative problem solving, where everyone’s opinions and ideas are valued. We are committed to work-life balance, as well as both personal and professional growth. We consider our creative and dedicated scientific professionals to be our greatest assets, and we take pride in cultivating their talents, supporting their efforts, and enabling their successes. We provide mentoring to help new staff build a solid technical and professional foundation, and to smoothly integrate into the culture of LANL.

Los Alamos, New Mexico enjoys excellent weather, clean air, and outstanding public schools. This is a safe, low-crime, family-oriented community with frequent concerts and events as well as quick travel to many top ski resorts, scenic hiking & biking trails, and mountain climbing. The short drive to work includes stunning views of rugged canyons and mesas as well as the Sangre de Cristo mountains. Many employees choose to live in the nearby state capital, Santa Fe, which is known for world-class restaurants, art galleries, and opera.

About LANL:
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.

The High Performance Computing (HPC) Division provides production high performance computing systems services to the Laboratory. HPC Division serves all Laboratory programs requiring a world-class high-performance computing capability to enable solutions to complex problems of strategic national interest. Our work starts with the early phases of acquisition, development, and production readiness of HPC platforms, and continues through the maintenance and operation of these systems and the facilities in which they are housed. HPC Division also manages the network, parallel file systems, storage, and visualization infrastructure associated with the HPC platforms. The Division directly supports the Laboratory’s HPC user base and aids, at multiple levels, in the effective use of HPC resources to generate science. Additionally, we engage in research activities that we deem important to our mission.

Los Alamos National Laboratory, Supercomputer Institute Summer Internship Opportunity

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PROGRAM OVERVIEW
The Supercomputer Institute is an intense, paid, 11-week, hands-on technical internship for people of all majors interested in the growing field of high-performance computing. You will obtain a thorough introduction to the techniques and practices of HPC; no HPS experience is required.

The program begins with two weeks of “boot camp”. Small teams of interns build, configure, test, and operate an HPC compute cluster starting from scratch, turning a head of equipment, cables, and electricity into a working mini-supercomputer that can run real HPC applications.

Next, the project phase begins. Teams of interns work under the guidance of HPC Division staff mentors on applied research and development projects that address real challenges currently faced by the division. Some projects use the mini-supercomputers built during boot camp, and others use existing LANL resources. These projects regularly influence the division as well as the field of high-performance computing.

Finally, teams present their accomplishments as a poster and technical talk to Laboratory management, staff, and fellow interns in an end-of-summer celebration of intern work.

The program runs June 1, 2021 – August 13, 2021.

View full job post here.

PROFESSIONAL DEVELOPMENT:
In addition to the technical portion of the program, interns also participate in fast-paced, focused professional development work, including:

  • Intense mentoring
  • Teamwork and professional collaboration
  • Resume writing and evaluation
  • Technical poster/presentation design and public speaking
  • Technical seminars on current HPC topics. Past seminars include high-speed networking, Linux containers,
  • parallel filesystems, facilities, and more.
  • Science lectures given by staff from across the Laboratory, from how the Mars Rover works to machine learning/ AI to black hole collisions.
  • Opportunities to sign up for tours of our world-class facilities, including the magnet lab, particle accelerator, million-core supercomputer, and ultra-cold quantum computer.

WHO IS ELIGIBLE TO APPLY:
The program is targeted to rising juniors or seniors, master’s students, and recent graduates with a bachelor’s or associate’s degree. Very highly qualified rising sophomores have been successful in the past, as well as occasional master’s graduates and Ph.D. students who can make a good case that they need hands-on practical training, rather than a research internship.

REQUIRED QUALIFICATIONS:
Interns must meet the following minimum requirements. If you are unsure whether you meet them, please ask us! We don’t want miss someone because they meet requirements in a way we did not anticipate.

  • Computer science, computer engineering, IT, or related experience/training.
  • Intermediate understanding of the Linux OS. For example, this might mean you have basic understanding of how an operating system works, some experience using Linux, and some knowledge of how Linux differs from desktop (e.g., Mac, Window) or phone OSes (Android, iOS).
  • Intermediate command line skills. You should have basic knowledge of the terminal using a shell such as tcsh or Bash. This doesn’t necessarily have to be on Linux (Macs also have a nice command line).
  • Scripting or programming experience of some kind.
  • Collegial, personable, plays well with others; the program is a team sport. Please note this does not mean you have to be “normal”; neurodiversity is encouraged.
  • Well-rounded and curious.
  • Can deal with reasonable deadlines. It’s a fast-paced program, but not high pressure.
  • Meets LANL undergraduate or graduate student program requirements, as applicable.

DESIRED QUALIFICATIONS:
In addition to the above, we’re looking for interns that also have some of the following skills. Note that few interns have all of them.

  • Strong communication skills (written and/or oral).
  • Interesting experience with Linux, hardware, networking, security, filesystems, etc.
  • HPC experience, whether sysadmin or user.
  • C or systems programming experience.
  • Interesting novel perspectives. Can you expand our horizons?

APPLICATION DEADLINE:
Deadline to apply is December 1, 2020.

HOW TO APPLY:
Apply via the instructions on this page. You’ll need to submit the following materials:

  • Current resume
  • Unofficial transcript, including GPA
  • Cover letter describing:
    • Your professional interests, experience, and goals
    • Why you are interested in the Supercomputer Institute
    • How you meet the minimum and desired skills above
    • What you hope to contribute to our team environment

ABOUT LOS ALAMOS:
Los Alamos is a small town in the mountains of northern New Mexico, located an elevation of 7,500 feet.

The town has an active intern community with various events such as free concerts. Outdoor activities are abundant, including hiking, camping, mountain biking, and rock climbing. Summers tend to be warm, and either dry or with afternoon monsoonal thunderstorms.

Stephen Timoshenko Distinguished Postdoctoral Fellowship at Stanford University

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Stanford’s Mechanics and Computation Group (Department of Mechanical Engineering) is seeking applicants for a two-year term distinguished postdoctoral fellowship.

 

ABOUT THE FELLOWSHIP:

The Stephen Timoshenko Distinguished Postdoctoral Fellow will be given the opportunity to pursue independent research in the general area of solid mechanics, as well as to contribute to ongoing research in the Mechanics and Computation Group. 

QUALIFICATIONS:

  • Research activities should be in the field of solid mechanics interpreted broadly. 
  • The candidate should be aligned with interests in the group, which include additive manufacturing, micro- and nano-mechanics, and bio-mechanics, with an interest in machine learning as it applies to the field of computational mechanics. 
  • Candidates will be given opportunities to develop their teaching experience by designing and teaching a class in the mechanics curriculum. 
  • This position is primarily targeting candidates who are seeking an academic career in a leading research university.
  • Candidates are expected to show outstanding promise in research, as well as strong interest and ability in teaching. 
  • They must have received a Ph.D. prior to the start of the appointment, but not more than 2 years before. 

APPLICATION DEADLINE: 

Fellowship applications are accepted year-round, with deadlines on October 1, December 1, April 1, and July 1. 

  • Applications received before these dates will be reviewed together. 
  • This position will close as soon as an offer is made and has been accepted by a candidate.

HOW TO APPLY:

Send your application by email to Kelly Chu, kchu22@stanford.edu

  • Email subject: Stephen Timoshenko Distinguished Postdoctoral Fellow search
  • All documents attached to the email should be PDF (Portable Document Format).

Application documents:

  • Cover letter (one page)
  • Curriculum vitae
  • List of publications
  • Brief statements of proposed research (up to three pages) and teaching (one page) 
  • Names and contact information of three recommendation letter writers

EEO STATEMENT:

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Stanford welcomes applications from candidates who bring additional dimensions to the University’s research and teaching missions.

Some resources on diversity and inclusion at Stanford: