Postdoc Position at Johns Hopkins University

By | Educational, Funding Opportunities, SC2 jobs

Profs. Michael Shields and Lori Graham-Brady are seeking a postdoctoral scholar for a joint collaborative program on uncertainty quantification of mechanical property predictions based on data-driven and/or machine learning models. In the short term, the focus of this project will be on developing UQ tools for Deep Neural Network models that connect image data to material properties. In the longer term this is expected to expand to a spectrum of ML and other data-driven models. Finally, we hope to explore UQ for interconnected models, e.g., in a hierarchical multi-scale construct.

Successful candidates for the position will have a demonstrated track record of scholarly research, and experience in uncertainty quantification, machine learning, and/or computational mechanics. Due to the broad range of expertise requested, we are open to candidates who have more significant expertise in one of these areas and who are interested in developing further knowledge in the other domains. Initial appointment is for one year with the expectation of renewal for a second year pending satisfactory performance. We are committed to recruiting a diverse community of faculty, students, and staff, and to cultivating an inclusive environment that supports, fosters and celebrates all the ways in which the broad differences among us make us better.

Interested candidates are asked to submit their CV and a brief cover letter to Profs. Graham-Brady and Shields. Please email materials to both and

Professor Karthik Duraisamy named new director of the Ph.D. in Scientific Computing program

By | Educational, Feature
Prof. Karthik Duraisamy infront of screen with turbulence simulation

Professor Karthik Duraisamy (Aerospace Engineering)

Karthik Duraisamy, associate professor of Aerospace Engineering, and an associate director of the Michigan Institute for Computational Discovery & Engineering, has been named director of the joint Ph.D. in Scientific Computing program effective on January 1, 2022. Professor Duraisamy’s research involves the development of theory and algorithms for computational modeling of complex physical systems. He was the principal investigador of ConFlux, an NSF Major Research Instrumentation project that led to the development of a first of its kind computing instrument specifically designed to enable High Performance Computing (HPC) clusters to communicate seamlessly and at interactive speeds with data-intensive operations. Currently he directs the Air Force Center of Excellence on Rocket Combustion modeling. He is invested in educating future researchers with a strong computational background capable of using the power of computing for problem solving. He worked with the group that launched the course Methods and Practice in Scientific Computing, and developed and teaches a course on data-driven analysis and modeling of complex systems. These two courses give students a solid foundation, enabling them to use HPC in their research. 

Portrait of Ken Powell

Professor Ken Powell (Aerospace Engineering)

Professor Duraisamy replaces Ken Powell, Arthur F. Thurnau Professor of Aerospace Engineering, who stepped down from the role after 18 years of service. As a young assistant professor, Professor Powell was an instrumental member of the original team that conceived and launched the program back in 1989. The field of computational fluid dynamics, where his research interests lie, has always included an active community of HPC users and developers, thus he was always actively involved in the program through research, teaching and student advising. In 2004 he succeeded Professor William Martin as director of the program. During his time as director, he met and advised every single one of the over 350 students that enrolled in the program. Through this time he became an expert on scientific computing courses across the university, and witnessed first hand the explosion in computational and data science usage, reflected in the research scope of the students enrolling in the program.

Professor Duraisamy has big shoes to fill, but he is being assisted by the MICDE Management and Education Committee. The program’s mission, to train U-M students in scientific computing and to support the growing computational and data science community at the University of Michigan, will itself continue to expand.

The University of Michigan Ph.D. in Scientific Computing timeline. Read more.


XSEDE HPC Workshop: BIG DATA and Machine Learning

By | Educational, Events, HPC

XSEDE and the Pittsburgh Supercomputing Center are offering a two day Big Data and Machine Learning virtual workshop that will focus on topics including big data analytics and machine learning with Spark, and deep learning using Tensorflow.

When: Wed., April 6 @ 11:00 a.m. – 5:00 p.m. E.S.T. & Fri., April 8 @11:00 a.m. – 5:30 p.m. E.S.T.

Registration closes on April 4, 2022. Space is limited.

Tentative Agenda

Wednesday, April 6
All times given are Eastern
11:00 Welcome
11:25 A Brief History of  Big Data
12:20 Intro to Spark
1:00    Lunch break
2:00    More Spark and Exercises
3:00    Intro to Machine Learning
5:00    Adjourn

Friday, April 8
All times given are Eastern
11:00 Machine Learning: Recommender System with Spark
1:00    Lunch break
2:00    Deep Learning with Tensorflow
5:00    Tying it All Together
5:30    Adjourn

Applications to the 2022 Annual Argonne Training Program on Extreme-Scale Computing are due March 1

By | Educational, HPC

Argonne Training Program on Extreme-Scale ComputingThe annual Argonne Training Program on Extreme-Scale Computing (ATPESC), for doctoral students, postdocs, and computational scientists, is set to take place July 31-August 12, 2022. This year’s program will mark the 10th anniversary of ATPESC.

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.

Call for 2022 Applications extended to March 7

Learn more and apply here

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
  • Approaches for performance portability
  • Numerical algorithms and mathematical software
  • Performance measurement and debugging tools
  • Data analysis, visualization, and methodologies for big data applications
  • Approaches to building community codes for HPC systems
  • Machine learning and data science

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, 2022.

ATPESC is funded by the Exascale Computing Project, a collaborative effort of the DOE Office of Science’s Advanced Scientific Computing Research Program and the National Nuclear Security Administration.

Reminder: seeking nominations for MICDE graduate fellowships 2022-2023 

By | Educational, Funding Opportunities
MICDE is currently accepting nominations of prospective students for an MICDE graduate fellowship. If you are an U-M faculty, and have identified an incoming graduate student interested in research in Computational Discovery and Engineering with your research group, we invite you to nominate them for the award. MICDE seeks to recruit and retain a diverse cohort of students to contribute to building a more diversified, equitable and inclusive STEM community. Please keep this is mind when sending your nomination. Nominations will be reviewed on a rolling basis. We will accept nominations until we reach our funding capacity, but no later than Friday, March 11, 2022.

Scholarships for tobacco simulation modeling course offered by the Center for the Assessment of Tobacco Regulations (CAsToR)

By | Educational, Funding Opportunities

The Center for the Assessment of Tobacco Regulations (CAsToR) is pleased to once again announce the availability of scholarships for a short course on tobacco simulation modeling (EPID 730) to be offered during the University of Michigan Summer Session in Epidemiology (SSE) Program in 2022. Scholarships are also available for Complex Systems Modeling for Public Health Research (EPID 793), in conjunction with EPID 730 scholarships.

EPID 730 will be offered as an on-line course and will provide an introductory overview of computational modeling techniques with examples in Tobacco Regulatory Science, discussions of best practices, and hands-on lab experience in which students will develop their own simulation models. At the completion of the course, students will be able to explain the contributions of simulation modeling in Tobacco Regulatory Science, and describe advantages and disadvantages of common modeling approaches. Students will explore how to incorporate simulation modeling into their own Tobacco Regulatory Science research and participate in interdisciplinary teams that use modeling techniques.

The deadline to apply is April 6th, 2022, and applicants are asked to wait to apply to the SSE program until after receiving notification of the scholarship funding decision in late April. Please see the flyer for more information and a link to the application.

Center for the Assessment of Tobacco Regulations Logo

An Academic and Research Career Workshop for Women in Computational and Data Sciences

By | Educational, Events

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 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.

The workshop will be held on April 20-21, 2022, in Albuquerque, NM.

The organizers are seeking nominations for outstanding candidates in their final year of PhD or within three years of having graduated. Approximately 30 women will be selected to come to Albuquerque for two days of research presentations, poster sessions, and interactive discussions about academic and research careers, with financial support for travel provided.

The nomination form requires (1) a letter of nomination and (2) a copy of the nominee’s resume.

Full details, including the nomination form and highlights from previous events can be found here.

Please consider nominating one of your outstanding current/recent PhD students or postdocs.

Nominations are due February 18, 2022.

Helmholtz Information and Data Science Academy Visiting Researcher Grant

By | Educational, SC2 jobs

Are you a doctoral researcher or Postdoc and your research has a strong link to the (applied) data and information sciences? The Helmholtz Visiting Researcher Grant offers doctoral students and Postdocs the opportunity to do a fully-funded short-term research stay (1 – 3 months) at one of the 18 Helmholtz centers. With more than 43,000 employees and an annual budget of 5 billion euros, Helmholtz is Germany’s largest scientific organization. Its research fields include: Energy; Earth and Environment; Health; Aeronautics, Space and Transport; Matter, and Information.

The Helmholtz Visiting Researcher Grant is promoted by HiDA, the Helmholtz Information and Data Science Academy. Its aim is to enable new research collaborations, to foster knowledge exchange, and to explore new or emerging research topics in the field of information and data sciences. The program addresses researchers in both academia and in industry. It offers researchers the opportunity to get to know the Helmholtz Association of German Research Centers.

Next Application Deadline: 15 March, 2022

For more information:

Info Session on the Program (via Zoom) on Tuesday, 18 January, 2022, 14.00 – 15.00pm  CET

Sign up here:

Postdoctoral position in neuroscience in the Renart Lab, Champalimaud Foundation, Portugal

By | Educational, SC2 jobs

The Renart Lab, in the Champalimaud Centre for the Unknown (Lisbon, Portugal), is looking for candidates for a postdoc position in within a project whose goal is to understand the neural basis of simple sensory judgements using modern methods in system’s neuroscience together with theory.

Successful applicants are expected to have experience studying controlled behavior in rodents using recordings and perturbations. The project has a strong quantitative component, so experience on computational neuroscience and statistics/machine-learning methods for behavioral and neural data analysis will be highly valued.
Some recent publications and methodologies relevant for the project are:
The Champalimaud Neuroscience Programme is a vibrant research community focussed on understanding the links between neural activity and behavior. The Renart lab promotes a horizontal and collaborative environment. The position offers a competitive salary and is available immediately for a duration of 3 years (with flexibility).

Interested applicants should send their CV, a brief motivation statement and the names of at least 2 references by email to: and

Flagship Pioneering Summer Fellowship Opportunity Information Session

By | Educational, SC2 jobs

Flagship Pioneering is a life science venture creation firm based out of Cambridge, MA. Flagship’s unique venture creation process is behind companies such as Moderna, Rubius Therapeutics, Indigo Agriculture, and several dozen others.

The Flagship Pioneering Summer Fellowship Program is a one-of-a-kind opportunity to work alongside scientist-entrepreneurs at the earliest stage of ideation and develop the next breakthrough life science companies. Over the course of an immersive 12-week paid program, you will be exposed to our proprietary innovation process, connect with scientific and business leaders within our vast ecosystem, and assess employment opportunities.

Ideal candidates are creative Ph.D., M.D., M.S., or science-oriented M.B.A. students that are within 1 year of graduating upon starting the fellowship or have recently graduated. Applications are rolling, but interested candidates are strongly encouraged to apply before January 31, 2022. 

During the 1-hour information session, you will learn about Flagship Pioneering from Associates Ayse Muñiz, PhD (University of Michigan Class of 2021), and Rahi Punjabi who will discuss a new AI Fellows track launching this summer. Those with a strong background in computer science, statistics, applied mathematics, physics, and computational biology are encouraged to attend to learn more about this new track.
DateThursday, January 13, 2022
Time: 11AM-12PM

Zoom info:

Password: 756102