SiTime,the market leader in silicon MEMS timing, will host an internship open house on Thursday, March 16 at 4-6 pm in 1100 Victors Way suite 1150, Ann Arbor for students interested in MEMS, sensor and/or system design, modeling and testing. Please RSVP by March 15 to Jay Mitchell at jmitchell@sitime.com
Submit your application for an opportunity to learn the tools and techniques needed to carry out computational science on the world’s most powerful supercomputers. ATPESC participants will have access to DOE’s leadership-class systems at the ALCF, OLCF, and NERSC.
Program curriculum:
Renowned scientists and leading HPC experts will serve as lecturers and guide the hands-on training sessions. The core curriculum will cover:
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.
Summer fellowship for researchers, primarily for PhD students and postdocs with experience studying complex and intelligent behavior in biological and social systems. Fellows will work on selected projects at the intersection between the fellow’s field of expertise and AI alignment and/or governance in close collaboration with a mentor.
Date: June – August, 2023
Place: Europe (most likely one in near Oxford and one in near Prague)
Stipend: 3,000 USD/month
Deadline to apply: February 15, 2023
Application materials:
Applications for LANL’s X-Computational Physics (XCP) division’s summer 2023 workshop / internship programs are open now. Participants will receive a fellowship stipend, the amount to be determined based on your current academic rank. There are two programs, the computational physics workshop and the parallel computing workshop. Both programs are 10 weeks in duration and require US citizenship. Admissions are rolling, with a closing date of 1/16/2023 for the Computational physics workshop and 1/20/2023 for the parallel computing workshop.
The workshops are geared toward undergraduates and early graduate students, and either would be a great introduction to LANL, and aspects of XCP’s mission (there is significant lecture time built into the schedule of both). Please note that these are effectively XCP Divisions summer internship program if students don’t already have a direct hire mechanism worked out.
Computational Physics Summer Workshop 2023
Date: June 12 – August 18, 2023
Application deadline: January 16, 2023
Parallel Computing Summer Research Internship 2023
Date: June 12 – August 18, 2023
Application deadline: January 20, 2023
The Oden Institute for Computational Engineering and Sciences at UT Austin, Sandia National Laboratories (SNL), and Lawrence Livermore National Laboratory (LLNL) are partnering to host the 4th Rising Stars in Computational and Data Sciences, an intensive workshop for women graduate students and postdocs who are interested in pursuing academic and research careers.
Date: April 12-13, 2023
Place: Austin, TX University of Texas Oden Institute for Computational Engineering and Sciences
The Oden Institute is seeking nominations for outstanding candidates in their final year of PhD or within three years of having graduated. We will select approximately 30 women to come for two days of research presentations, poster sessions, and interactive discussions about academic and research careers, with financial support for travel provided.
The nomination consists of sending (1) a letter of nomination and (2) a copy of the nominee’s 2-page resume to Karissa Vail at karissa.vail@austin.utexas.edu. More information can be found at https://risingstars.oden.utexas.edu/
Please consider nominating one of your outstanding current/recent PhD students or postdocs.
Nominations are due: January 23, 2023.
The Institute of Mechanical Engineering at EPFL invites applications for two faculty positions at the level of tenure track Assistant Professors in the fields of Sustainable Manufacturing and Biomechanics.
For the position in Sustainable Manufacturing, we seek applicants who will broadly address the engineering challenges related to developing intelligent manufacturing systems, while attending to the multiple facets of sustainability. Research areas of interest include, but are not limited to: (i) intelligent advanced manufacturing systems; (ii) data-driven manufacturing; and (iii) additive manufacturing. Given that high value-added manufacturing is an essential pillar of the Swiss economy, applicants are expected to demonstrate a potential for direct interactions
with industrial partners.
For the position in Biomechanics, we seek applicants with a mechanics background who will address research challenges related to the development of theoretical and computational models to investigate, and potentially control or design, biological materials and systems. Research areas of interest include, but are not limited to: (i) cell and tissue mechanics; (ii) architected biomaterials; (iii) prosthetic and assistive mechanical devices; and (iv) pre-operative modeling for surgical interventions.
As a faculty member of the School of Engineering, the successful candidate is expected to initiate an independent and creative research program, and commit to excellence in both undergraduate and graduate teaching. EPFL offers internationally competitive salaries, generous research support, significant start-up resources, and outstanding research infrastructure.
How to apply
Applications should include a cover letter with a statement of motivation, curriculum vitae, list of publications and patents, research plan and teaching interests. Applicants should provide the names and addresses of at least 3 referees who are ready to supply a reference letter upon request.
Applications must be uploaded in PDF format to the recruitment web site.
Formal evaluation of candidates will begin on December 1st, 2022.
Enquires may be addressed to:
Prof. Herbert Shea
Search Committee Chair
e-mail: igm-search@epfl.ch
For additional information on EPFL, please consult the websites: www.epfl.ch, sti.epfl.ch,
www.igm.epfl.ch.
EPFL is an equal opportunity employer and family friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply.
Workshop theme
This week-long workshop will provide an introduction to the core theoretical and applied engineering topics of the DDE programe. Three sessions will be devoted to foundational techniques and methodologies including (i) reinforcement learning and control, (ii) uncertainty quantification and data assimilation, and (iii) model reduction. Another three sessions will be devoted to introductions to current and future challenges for data-driven engineering arising from (i) aeronautics, (ii) chemical and (iii) structural engineering. The tutorials will lay the foundation for the follow-up activities of the DDE programe and the deep-dive study periods in particular. The tutorial workshop is suited in particular for PhD students, postdocs and earlier career scientists from mathematics, statistics, computer science, and computational engineering.
Speakers
Date
January 16 – 20, 2023
Location
Cambridge, UK or Online (more information in the application section)
Application Deadline: 30 Sep 2022
The Amazon Basin cycles more water through streamflow and evaporation than any other contiguous forest in the world, and transpiration by trees is a critical part of this cycle. Understanding how plant roots, stems, and leaves interact with soil water to regulate forest transpiration across landscapes is a critical knowledge gap, especially as climate changes. Professor Valeriy Ivanov, from the Department of Civil and Environmental Engineering at U-M, is the lead investigator in a newly NSF funded project that links diverse disciplines – plant ecophysiology, ecology, and hydrology – and will build a unique modeling framework to characterize landscape variation in physiological and hydrological processes in the Amazon Basin. The framework will integrate a wide array of field observations with detailed watershed modeling for hypothesis testing. The team includes Tyeen Taylor, research fellow also from the Civil and Environmental Engineering Department at U-M, and many collaborators in the U.S. at the University of Arizona, University of West Virginia, University of Nebraska, as well as Brazilian researchers at the Federal University of Eastern Para, and Federal University of Amazonas, National Institute for Amazonian Research, and Eastern Amazon Agricultural Agency. Detailed, physical models of ecophysiology and above- and below-ground hydrology will be informed by observations of leaf physiology, tree morphological traits, soil moisture, groundwater, and streamflow. Data and models will be integrated employing novel tools in probabilistic learning and uncertainty quantification. The computational framework tools to be used in this project were developed in part with the support from MICDE Catalyst grant program for the 2018 project “Urban Flood Modeling at “Human Action” Scale: Harnessing the Power of Reduced-Order Approaches and Uncertainty Quantification” led by Prof. Ivanov.
Given (a) a mechanistic model M (e.g., a stomatal conductance model), (b) one can treat its inputs ? (e.g., parameters) as random variables. These inputs are sampled and model simulations are carried out. Using (c) PCEs, we construct a surrogate model that best approximates the model output – left-hand-side of (c). The surrogate is then evaluated with Monte Carlo simulations and used for (d) parameter inference. (d.1) is the flow of outputs from the surrogate model into a likelihood function L (D | ?) to compare the surrogate model output and observed data D. This inference produces the posterior distribution for ?. This pdf can then be sent back to the surrogate in (d.2) to reduce the uncertainty in the inputs and to obtain pdf for a quantity of interest (e).
“The reduced-ordered modeling approach developed during the MICDE Catalyst grant project is a key element of the new project,” said Prof. Ivanov, “the MICDE seed funding has allowed us to build a general framework that is applicable to a wide range of computational applications in earth-system science, and thus made our project proposal more competitive”.
The MICDE Catalyst Grants program funds projects that have the potential to catalyze and reorient the directions of their research fields by developing and harnessing powerful paradigms of computational science. This new NSF project is an example of the reach of the program.
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
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:
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).
