Computational Solid Mechanics and Materials Modeling Postdoc position available at Los Alamos National Laboratory

By | SC2 jobs

Computational Solid Mechanics and Materials Modeling Postdoc position available at Los Alamos National Laboratory

The Fluid Dynamics and Solid Mechanics Group (T-3) is seeking outstanding candidates for multiple post-doctoral research opportunities in the areas of solid mechanics, materials modeling, and numerical methods development. The prospective post-doctoral research associates will take lead roles in the development of (i) models of inelastic deformation and/or failure in solid materials, and (ii) computational techniques for the effective representation of such behaviors.

Strong background and demonstrated research experience in theoretical modeling and numerical simulation of large-deformation problems involving metallic, polymeric, and/or organic crystal systems.  Strong interest and expertise in the mechanics and physics of plasticity and damage processes, and models for the representation of these behaviors.  Demonstrated experience with computational methods for the solution of initial/boundary value problems and/or implementation of new material models. Excellent oral and written communication skills, the ability to work independently and as an integral part of a team conducting theoretical/computational and experimental work, and the ability to interact effectively with other members of such a diverse team of specialists.

Desired Skills: Expertise in one or more of the following areas is highly desirable.

  • Classical and/or single-crystal plasticity models,
  • Poly-crystal plasticity with homogenization or full-field (FEM or spectral) methods,
  • Microstructure evolution processes,
  • Damage and failure models for ductile and/or brittle materials,
  • Phase field models of microstructural evolution or damage/failure processes,
  • Polymer strength/damage models,
  • Nonlocal/generalized continuum mechanics and constitutive modeling,
  • Coupled multi-physics problems,
  • Concurrent multiscale modeling techniques,
  • Data-driven / machine-learning approaches,
  • Algorithm and code development for massively parallel and emerging architectures.

Education: A doctoral degree in engineering, materials science, scientific computing, or a related field, completed within the last five years or soon to be completed.

Additional Details: Position does not require a security clearance.  Selected candidates will be subject to drug testing and other pre-employment background checks.

 

To apply for this position or to learn more about it, please visit the Los Alamos National Laboratory job posting here.

Los Alamos Computational Physics Student Summer Workshop

By | General Interest, Happenings

Los Alamos Computational Physics Student Summer Workshop

The Los Alamos Computational Physics Student Summer Workshop seeks to bring a diverse group of exceptional undergraduate and graduate students for informative, enriching lectures and to work with its staff for 10 weeks on interesting, relevant projects that may culminate in articles or conference presentations. Students are organized into teams of 2 working under the guidance of one or more mentors.

THIS YEAR’S PROJECTS

  • Why explosions look like earthquakes
  • Numerical investigation of explosive particle jetting
  • Materials phase diagrams from density functional theory
  • Uncertainty quantification in high-explosive equations of state
  • Photon transport in warm dense matter
  • Equations of state for modeling high-explosives
  • Deep neural networks for a photon and neutron transport problem
  • Emulating fission observables
  • Code verification for MCNP unstructured mesh geometry
  • Two mesh radiation-hydrodynamics methods
  • Using Richtmeyer-Meshkov instability to study the constitutive behavior of solid media subjected to shock-loading
  • They dynamics of plasma jets moving in the hot medium

Applications are now open for this year’s workshop, which will run from Monday, June 8, until Friday, August 14, 2020. Applications are due by January 20, 2020.

For previous year’s research reports, information about stipends, how to sign-up for the mailing list, and complete application instructions, visit  http://compphysworkshop.lanl.gov.

Applications are accepted from US citizens only.

2020 SIAM Mini-Symposium in Applied Mathematics

By | Events, General Interest, Happenings

2020 SIAM Mini-Symposium in Applied Mathematics

The SIAM student chapter at the University of Michigan is hosting a student mini-symposium in applied mathematics on May 29, 2020. This event will allow students from different disciplines in the area to see what is being done in the field and promote interest in applied mathematics in general. This mini-symposium is open to all graduate students at the University of Michigan whose research is related to applied mathematics and/or scientific computing.

Time: Friday, May 29th, 10:00am – 4:00pm

Location: East Hall 3096, Department of Mathematics

Important Deadlines:

Deadline for submission of abstracts: April 14, 2020

Registration deadline: May 5, 2020

Registration is Open!

Registration to attend the 2020 SIAM Student Mini-Symposium in Applied Mathematics is now open. All are welcome to attend the conference, regardless of registration status, but lunch will be provided only for registered attendees.

To register please fill out the form provided by May 5, 2020.

 

The link for the mini-symposium can be found here: https://sites.google.com/view/siam-minisymposium-2020.

Call for applications: Argonne Training Program on Extreme-Scale Computing

By | SC2 jobs

Argonne Training Program on Extreme-Scale Computing (ATPESC)

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.

Who: Doctoral students, postdocs, and computational scientists
What: Intensive two-week training program
When: The annual ATPESC is set to take place July 26–August 7, 2020.

The call for applications is now open through March 2, 2020.
Apply now!

Eligibility

ATPESC provides advanced training to 70 participants.  Qualified applicants must have:

  • Substantial experience in MPI and/or OpenMP programming
  • Experience using at least one HPC system for a reasonably complex application
  • Plans to conduct computational science and engineering (CSE) research on large-scale computers

Anyone who has attended ATPESC in a previous year is not eligible to apply.

Ability to access all supercomputing resources used in this training program is mandatory for participation.  For ATPESC 2020, the following restrictions apply to foreign nationals: 
  1. Foreign nationals from countries that appear on a restricted foreign country listing in section 15 CFR 740.7 License Exceptions for Computers (namely, Cuba, Iran, North Korea, Sudan, and Syria) require a very lengthy approval process for access to DOE supercomputers, which will not complete in time for ATPESC 2020.  Therefore, citizens of these countries are not eligible to apply for participation in ATPESC 2020.  
  2. Foreign nationals from countries other than those listed above will need a valid passport, visa, and supporting documents with an expiration date beyond the end of the training program (August 7, 2020).  Selected applicants will be provided a letter of invitation for visa purposes if needed.
  3. Depending on the country of citizenship, the process for approval of accounts can take anywhere from weeks to months, and we cannot guarantee successful approval.  Selected applicants whose accounts have not been approved by July 2, 2020, will not be able to participate in ATPESC 2020. 

Applicants are expected to be proficient in English in order to take full advantage of this training program.  Results from TOEFL/IELTS/PTE examinations are not required.

Applicants must commit to attend the entire program.  If they fail to do so, they will be responsible for their travel, lodging and meal expenses.

Application Instructions

Applications must include (in this order):

1. Statement of Purpose (SOP)

This document should include your purpose for attending the training program, a description of your computing experience, and your current/future CSE research plans.  This part of the application should be no longer than two pages.  Please include your First and Last Name, Job Title, and Institution at the top of the document.

  • Note: the curriculum of the training program is geared for participants with substantial MPI and/or OpenMP programming experience who have used an HPC system for a reasonably complex application and have conducted or are preparing to conduct CSE research on large-scale computers.  Please be prepared to describe in detail your previous experience with HPC systems (e.g., size of simulations, kind of systems, experience as user and/or developer, software and solvers used, etc.) and your future CSE plans on leadership-class supercomputers.

2. Curriculum Vitae (CV)

CVs must provide all science and technology specialties, all work positions with no gaps in time, and current/accurate names of all academic institutions attended.

3. Letter of recommendation (LOR)

One letter of recommendation from an advisor or supervisor.

  • Note: if your advisor or supervisor wants to make a confidential recommendation, they should send it directly to support@extremecomputingtraining.anl.gov before the submission deadline.  In that case, ATPESC support staff will attach it to your application.  Please note that you are still responsible for ensuring final submission by your advisor or supervisor.  Incomplete applications will not be reviewed.

Please do not include in your application any articles, additional letters, or other documents that are not among the three mentioned above.

When you have compiled all the documents listed above:

  1. Please create one PDF file with all items: SOP, CV, and LOR (if not confidential).
  2. Log in to EasyChair to apply for ATPESC 2020

On the EasyChair application form:

Please use standard capitalization (i.e., “John Smith”; not “JOHN SMITH” nor “john smith”) and use your full legal name as it appears on your government-issued photo ID (e.g., passport).

    • For the Author Information, complete the Author 1 fields with your information and leave the other author fields blank. Please enter legal first and last name as it appears on your government-issued documents.
    • For the Title, use your legal first and last name followed by “Application” EXAMPLE: John Smith Application.
    • For the Abstract, enter a short paragraph summarizing your purpose for attending and the name of the advisor or supervisor that will be submitting your letter of recommendation (if not included in your submission PDF file).
  • For the Keywords, enter your Country of Citizenship, CSE Field (from the list linked here) and Job Title (Ph.D. student, Postdoc, Scientist, Researcher, Engineer, etc).
  • Upload your PDF file.
  • Click on the submit button only once.

Other important dates:

  • March 2, 2020 – Deadline to submit applications
  • April 13, 2020 – Notification of acceptance
  • April 24, 2020 – Registration deadline for accepted applicants
  • May 1, 2020 – Registration deadline for wait-listed applicants

 

If you have any questions, please contact ATPESC staff.

For more information, please visit the website.

New MOOC in Computational Thinking has launched!

By | Educational, Feature, Happenings

The Michigan Institute for Computational Discovery & Engineering and the University of Michigan Center for Academic Innovation have partnered to launch a Massive Open Online Course (MOOC) titled Problem Solving using Computational Thinking. The idea for this MOOC arose from the team’s recognition of the ubiquity of computation. However, the developers were equally keen to distinguish this offering from MOOCs on programming, and to instead highlight how broader computational thinking also makes its presence felt in somewhat unexpected domains. The MOOC is organized in a series of real-world examples that includes how, using computational thinking, it is possible to help plan and prepare for a flu season, track human rights violations or monitor the safety of crowds. The process of computational thinking that this MOOC focuses on ranges from problem identification, through abstraction to evaluating solutions. Problem Solving using Computational Thinking seeks to introduce students and teachers to the systematic thinking needed to conceptualize a problem with the intent of eventually using some computational tools to solve it.

The developers of this MOOC are drawn from the School of Public Health, the College of Engineering, the School of Education and MICDE. Problem Solving using Computational Thinking is available in Coursera through Michigan Online. To learn more please visit online.umich.edu/courses/problem-solving-using-computational-thinking/.

Graduate Fellowships at Idaho National Laboratory

By | SC2

Graduate Fellowships at Idaho National Laboratory

Idaho National Laboratory (INL) is excited to announce that the INL Graduate Fellowship postings are now open. There are two open call INL Graduate Fellowship postings.

  1. Fellowship for students interested in advancing nuclear energy and clean energy deployment
    – open to current Ph.D students
  2. Fellowship specific to National and Homeland Security research
    – open to current Ph.D. students or students pursuing a master’s degree in cyber                       security.

The INL Graduate Fellowship program is designed to identify exceptional talent in research areas aligned with INL’s strategic agenda to enable the current and future mission of the INL. The program, a collaboration between INL and universities, provides mentoring and financial support for outstanding students who plan to enroll in graduate degree programs.

Applicants are invited to apply online through inl.gov/careers job posting numbers 13894 and 13895. The postings will close February 16, 2020. Selections will be announced in May 2020. Letters of recommendation can be emailed directly to me at emilee.kottcamp-allen@inl.gov.

For more information about INL fellowships, check out their flyer here.

Software/Data Engineer position available at The University of Chicago

By | SC2 jobs

Software/Data Engineer position available at The University of Chicago

Location: Hyde Park Campus

Responsibilities

Performs and oversees a variety of activities relating to software support and/or development. Oversees technical development projects and the implementation of applications and/or websites. Provides analysis, design, development, debugging, and modification of computer code for applications, beta general releases, and production support. Develops and builds web pages, applications and user interfaces using a variety of software applications, techniques, and tools. New development, break fixes, maintenance, operational support of code and application ecosystem currently in production. Includes overall application administration and integration management.

P2: Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills. Builds knowledge of the organization, processes and customers. Solves a range of straightforward problems. Analyzes possible solutions using standard procedures. Receives a moderate level of guidance and direction.

The job performs a variety of activities relating to software support and/or development. Provides analysis, design, development, debugging, and modification of computer code for end user applications, beta general releases, web pages, and production support. Troubleshoots problems using existing procedures to find a possible solution.1) Investigates, analyzes and resolves day-to-day technical problems using standard procedures., 2) Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements., 3) Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods., 4) Supports and maintains existing applications. Works with web developers and responds to requests from users., 5) Performs other related work as needed.

Unit-specific Responsibilities

The following responsibilities represent Maintain and Develop Software and Data Infrastructure of the work performed

1) Plugins for community codes and scientific workflows
2) Database storage, query efficiency, and scalability
3) REST APIs and GUI front-ends
4) Communicate with users for support, feedback, and strategic development
5) Software testing units
6) Software deployment

Unit-preferred Competencies

1) Excellent problem-solving skills
2) Ability to take initiative, organize and complete projects with minimal supervision
3) Ability to work independently in an organized manner prioritizing the work of multiple projects
4) Ability to work collegially and as part of a team
5) Ability to manage a large volume of work often restricted by deadlines
6) Ability to use appropriate resources to resolve an issue

Education
Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Preferred Qualifications

Education
1) Master’s degree or PhD in Science or Engineering or related field

Experience
1) Research/scientific experience
2) Strong technical skills
3) Previous programming with Python3
4) Knowledge of C++ and/or FORTRAN a plus
5)  Experience with containers (Docker, Singularity etc.)
6) Experience in managing large codes/projects in a team (version control systems, issue trackers, unit test, continuous integration)
7) Knowledge of software design (design patterns, agile development, etc.)
8) Web (HTML5, JavaScript, AJAX, jQuery) and app design
9) Scientific background (e.g. physical or engineering sciences)

Technical Knowledge/Skills

1) Experience with molecular dynamics simulations and/or electronic structure calculations a plus

Required Documents
1) Cover Letter

2) Resume/CV

3) Reference Contact Information (3)

NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application

To apply, click here.

Software Scientist position available at Argonne National Laboratory

By | SC2 jobs

Software Scientist position available at Argonne National Laboratory

Location: Lemont, IL

The Midwest Integrated Center for Computational Materials (MICCoM), a DOE-BES Computational Materials Science program located at Argonne National Laboratory,  is looking for two software scientists to join the development team.

This position is sponsored by the U.S. Department of Energy within the context of a broad project aimed at enabling exascale calculations of materials properties. The software scientists will primarily work with a team of 10+ PhDs/postdocs contributing to the development of codes currently supported by MICCoM (http://miccom-center.org/software.html).

Excellent candidates are sought with experience in the development of complex scientific software architectures to support the development and deployment of MICCoM codes and of analysis codes for advanced sampling, molecular dynamics and electronic structure calculations.

The appointment will initially be a term appointment as junior staff scientist that may be renewed for up to three years. The salary is competitive and commensurate with experience. The position may lead to subsequent employment in a software scientist role at Argonne National Laboratory, depending on performance and mutual interest.

Major duties and responsibilities:

  • Develop, test, deploy and maintain core functionalities
  • Code optimization for high performance architectures
  • Communicate with users for support, feedback, and strategic development
  • Develop plugins for code interoperability
  • Facilitate the creation of scientific workflows
  • Remote resources management (supercomputers, servers, and storage)
  • Debug/profile/optimize software
  • Development of concise material for workshops and summer schools
  • Improvements to the internal test suite

Skills and experience:

  • Proficient in C++ , Fortran, Python, Cuda
  • Experience in algorithm optimization and parallel programming (MPI, OpenMP)
  • Managing large codes/projects in a team (including version control systems, issue trackers, unit test, continuous integration)
  • Knowledge of software design, debugging/profiling tools
  • Excellent communication skills
  • Ability to work in a team

A scientific background in physical, chemical-physical or engineering sciences, and an expertise in extensive application of advanced sampling, molecular dynamics and/or in electronic structure codes are required; basic knowledge of the internal functioning of MICCoM codes would be an advantage but is not required.

Typical candidates will be independent and motivated individuals with MSc or PhD in Materials Science, Computer Science, Physics, Chemistry or Chemical Engineering or comparable skills and experience.

As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department.

For more information, please feel free to contact Dr. Marco Govoni (mgovoni@anl.gov)

To apply, click here.

Lawrence Livermore National Laboratory High-Energy-Density-Physics Summer Internship Program

By | SC2 jobs

Lawrence Livermore National Laboratory HEDP Summer Internship Program

This is an opportunity for student interns to conduct research in fields such as nuclear physics, radiation transport, hydrodynamics, astrophysics, plasma dynamics, numerical methods, and computer science supporting national security for the Weapons and Complex Integration Directorate. Research projects combine theory with computation and are geared to further the students’ educational goals. During the summer, students work directly with laboratory mentors in their fields of research. Internship opportunities are available for highly qualified candidates at all levels of undergraduate or graduate education. Internships are for 3 months during the summer academic break. Students must arrive in May or June, work for three months and depart in August or September.

Application deadline: January 20, 2020
https://wci.llnl.gov/careers/students
Apply to job #106049

This program is a good opportunity for students to work on interesting summer projects across the breadth of high energy density physics (including computational transport) and to experience LLNL and California.

Lawrence Livermore National Laboratory LLNL (www.llnl.gov) applies science and technology to important problems related to national security including nuclear weapons stockpile stewardship, nonproliferation, and homeland security. In support of this mission, the laboratory has a history of and continues to pioneer technical innovations in many areas including high-energy-density physics, high-performance scientific computing, and inertial confinement fusion. LLNL is one of this country’s largest and finest research and engineering laboratories, and is located in beautiful Northern California.

The NSF Computational Mechanics Vision Workshop

By | Events, Research

Over October 31 and November 1, 2019 MICDE hosted the 2019 Computational Mechanics Vision workshop that aimed to gather and synthesize future directions for computational mechanics research in the United States. Attended by more than 50 experts in various sub-disciplines of computational mechanics from across the country, including five National Science Foundation Program Directors, the group spent a day and a half brainstorming about the future of computational mechanics and defining new paradigms, methodologies and trends in this exciting and vast field. The workshop focused on four emerging areas in Computational Mechanics: Machine Learning, Additive Manufacturing, Computational Medicine, and Risk and Uncertainty Quantification. Operating through open discussions on talks by experts from within and beyond Computational Mechanics, and breakout sessions on the above four topics, the workshop participants arrived at a series of recommendations that could drive NSF’s investments in this field for the next decade and beyond.

To learn more about the event please visit micde.umich.edu/nsf-compmech-workshop-2019/.