CSE students who are graduating May 2017, please complete and submit the undergraduate or graduate certificate Approval Form and attach a copy of your DARS Report to receive your CSE certificate. The certificates will be ready the second week of May, depending on your submission.
Submit certificate form by: April 30, 2017
Attached your DARS report
Pick up Certificates starting May 10, 2017 in room at 2102A NCSA, 1205 W. Clark Street, Urbana.
If you cannot pick up your certificate, please email your forwarding address to CSE.
The CSE Seminar Series aims to bring together researchers from across campus who share a common interest in the use of computational techniques in all disciplines, and to engage students in both the development and application of numerical methods, data analysis, computer modeling, and related techniques.
Upcoming Spring 2017 CSE Seminar Series: April 13 - Dr. Minh Do - Electrical and Computer Engineering April 20 - Dr. Roy Dar - Bioengineering
The Hacker Within Student Group
The Hacker Within (THW) is an officially registered student organization with CSE affiliation. THW's goal is to encourage students to learn and share tenets of the scientific computing endeavor by arranging a venue for peer-driven teaching, discussions, and forums for sharing skills and best practices for scientific computation, events, and professional resources for putting them into practice. The group meets bi-weekly with each meeting consisting of at least a discussion/tutorial on a scientific computing problem and a lightning research talk aimed to provide students an overview on a specific area of research.
Computational Science and Engineering is offering the following workshops to interested students and postdocs. Registration is encouraged, but not required. These workshops will be offered until May 3, 2017.
Computational Science and Engineering, National Center for Supercomputing Applications, and the Office of the Chief Information Officer
University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign seek applicants for the position of Research Software and Computing Training Lead, which will serve as a member of the Computational Science and Engineering (CSE) program, the National Center for Supercomputing Applications (NCSA), and the campus Research IT Services (part of the Office of the Chief Information Officer). The Research Software and Computing Training Lead will enable cutting-edge research involving the use and/or development of advanced digital software and hardware across all disciplines by coordinating, delivering, and administrating training programs for students and researchers at the University of Illinois and area institutions, including industry. The person in this position will play a key role in the research life of the campus, identifying important computational and data science skills and technologies, demonstrating how they can be used to solve problems in computational science and engineering and other disciplines, and designing activities to increase them. Please visit http://jobs.illinois.edu to view the complete position announcement and application instructions. The closing date for this position is May 1, 2017.
The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer. Illinois is an EEO Employer/Vet/Disabled - www.inclusiveillinois.illinois.edu
Postdoc Position at ALCF in Computational Materials
Postdoc at Argonne National Laboratory - Metascalable Layered Materials Genome
The mission of the Argonne Leadership Computing Facility (ALCF) is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and expertise. We invite you to apply for a postdoctoral appointee position with the ALCF.
We invite you to apply for a postdoctoral appointee position with the ALCF. You will research and develop massively parallel nonadiabatic quantum molecular dynamics (NAQMD) and reactive molecular dynamics (RMD) simulation programs. The specific project you will be working on is in the area of functional materials, which, as the name implies, have behaviors useful in science and industry. There is great interest today in engineering materials to have desired behaviors. One approach involves stacking atomically thin layers of different materials to achieve a complex molecular interplay throughout the stack. The resulting behavior of the stack cannot be explained by traditional theories and can only be predicted by directly simulating the layers as collections of molecules interacting with each other. Massive NAQMD and RMD simulations of functional layered materials will be validated by experiments on the same materials using a free-electron X-ray laser.
You will join the Computational Science group in ALCF; this is a highly collaborative environment involving science application teams, academia, industry as well as other national labs and agencies. The chosen applicant will have a rare chance to learn and exploit some of the world’s largest supercomputers, and use state-of-the-art techniques on current and upcoming supercomputing systems to help solve significant real-world problems.
We expect you to have: PhD + 0-3 years in computational sciences including physics, chemistry, material science and amp; engineering, or in a related field. Comprehensive knowledge of numerical methods, parallel programming with pthreads, OpenMP, MPI. Comprehensive experience in programming in one or more programming languages such as Fortran, C, C++, and Python. Considerable knowledge of parallel algorithms, distributed memory architectures, and parallel performance evaluation/optimization of domain specific implementations. Candidate should have the ability to create, maintain, and support high-quality software. An ideal candidate would have published their scientific software in a public repository (e.g. GitHub). Good communication skills both verbal and written. Considerable independent judgment and critical thinking.
Desirable Knowledge and Skills: Considerable knowledge of quantum chemistry and first principles molecular dynamics. Coding experience in massively parallel NAQMD, RMD, molecular dynamics, or other particle methods. Good experience and skills in interdisciplinary teams involving mathematicians, computer scientists, and discipline scientists. Collaborative skills including the ability to work well with other laboratories and universities, supercomputer centers, and industry. Good publication record, preferably including first-author publication(s). Experience with scientific applications that scale to several thousand MPI processes on massively parallel platforms.
In late spring each academic year, CSE hosts an Annual Fellows Symposium featuring keynote addresses by two distinguished invited speakers. In addition, each CSE Fellow gives a presentation on their research during the CSE Fellowship year.
Keynote Speakers: GREG VOTH Haig P. Papazian Distinguished Service Professor - Department of Chemistry The University of Chicago
SUSAN SINNOTT Department Head and Professor of Materials Science and Engineering Penn State University
CSE Fellows: Antoine Blanchard (Aerospace Engineering), Dimitrios Fytanidis (Civil and Environmental Engineering), Rachel Mansbach (Physics), Shriyaa Mittal (Biophysics), Advitya Patyal (Theoretical and Applied Mathematics), Amirhossein Taghvaei (Mechanical Science and Engineering), Sixian You (Bioengineering), Xiao Zhang (Mechanical Science and Engineering).
Undergraduate Summer Research Opportunity
Accelerated Molecular Dynamics Simulation Using Deep Neural Networks - Prof. Andrew Ferguson, Materials Science and Engineering
Molecular dynamics (MD) simulations are used to computationally model the conformational structure and motions of molecules including proteins, nucleic acids, and nanoscale materials. Simulations of proteins have been instrumental in improving our understanding of how these molecules fold and assemble, and in guiding the design and development of new drugs and therapeutics. Despite advances in simulation software and high-performance hardware, it remains a challenge to simulate large proteins for biologically relevant time scales. We have developed an approach to accelerate MD simulations by training deep neural networks with autoencoding topologies to discover the important collective dynamical motions governing protein folding dynamics, and to then use these artificial neural networks to accelerate MD simulations along these important directions. We have developed a prototype CPU implementation of this methodology that demonstrates its success. In this undergraduate research project, the student will work with the faculty member and graduate researcher to port the methodology into CUDA and integrate it into the state-of-the-art MD simulation package OpenMM to fully realize the power and acceleration of this approach by enabling it to run on high-performance GPU accelerators.
Qualified applicants for this undergraduate research position will possess a strong background in C++, parallel CPU (MPI, OpenMP) and GPU (CUDA, OpenACC) programming. Some experience in software engineering and data analysis for machine learning models is also desirable. This is an ~8-week paid research position for Summer 2017. Interested applicants should contact Prof Andrew Ferguson.
CSE Certificate Option and Transcriptable Enrollment
CSE offers interdisciplinary undergraduate and graduate specializations which are designed to provide students with a solid foundation in problem-solving using computation as a major tool for modeling complicated problems in science and engineering.
New Students: Madeleine Biagioli – Chemical & Biomolecular Engineering Haohang Huang – Civil Engineering Linjian Ma – Mechanical Engineering Yao Xiao – MechSE
CSE works hand-in-hand with our affiliates to assist you in staying up-to-date with the latest funding opportunities. All the funding opportunities are listed on the CSE website, please view our comprehensive list: http://cse.illinois.edu/research/funding-opportunity-announcements. Our staff is available to support team formation and proposal development. CSE is in the process of creating teams around the solicitations. If you are interested in joining or would like more information about funding opportunities, please send us an email at firstname.lastname@example.org.
May 22-26, 2017 University of Wyoming (in collaboration with University Corporation for Atmospheric Research) Laramie, WY If you are a Linux system administrator new to HPC, this is the workshop for you!Learn more!Register today!
August 14-18, 2017 Georgia Institute of Technology Atlanta, GA If you have some experience as an HPC system administrator and want to expand your skills, this is the workshop for you!Learn more! Register today!
Sandia National Laboratories Technical Intern Program
Center for Cyber Defenders (CCD) The Center for Cyber Defenders (CCD) program is focused on developing the next generation of experts in the field of computer security from the software stack down to embedded hardware. Our program fosters students’ abilities to address the serious and unique challenges existing in the realm of cyber security research, and encourages the exploration of original ideas necessary to keep pace with the rapid changes in information technology and the increasing sophistication of cyber threats. Students will gain experience in some of the following: operating systems analysis, virtualization technologies including software defined networking, distributed systems, storage, and algorithm analysis and development, advanced modeling and emulation, machine learning, reverse engineering, network programming, cryptography research and analysis, and much more. Projects range from working on small research and development (R&D) efforts to large, multidisciplinary team collaborations.
Summer, Year-‐round and Co-‐op Internships High school, undergraduate and graduate students: • Computer Science • Computer Engineering • Cybersecurity