MICDE helps to train creative,
independent students with an
interdisciplinary background
and extensive modeling,
computation, and data
expertise.

Personalized computer model of a patient vasculature and blood flow (C.A. Figueroa, Biomedical Engineering & Surgery)

CREATING IMPACT

The Michigan Institute for Computational Discovery & Engineering (MICDE) is the focal point for the wide spectrum of research in computational science and engineering across the University of Michigan.
The University of Michigan established MICDE to leverage its extensive faculty expertise and robust computing infrastructure to support in-depth computational research at scale. U-M is the largest public academic research institution in the U.S., with more than $1.3 billion in annual research spending.
Focusing on the development and innovative use of mathematics and computational modeling, MICDE’s research also continues U-M’s long tradition of partnering with industry. We have over 120 affiliated faculty members with expertise in the following diverse areas:
  • Cloud technology and high performance computing
  • Healthcare engineering and patient safety
  • Data-driven computational science and machine learning
  • Personalized medicine
  • Autonomous and smart transportation
  • Additive manufacturing, 3D
    printing, and sensing
  • Defense and homeland security
  • Computational materials science
  • Biotechnology, biomaterials, and biophysics
  • Shared economy and crowdsourcing

MICDE RESEARCHERS ARE…

  • Optimizing energy generation, distribution, and renewable energy utilization
  • Designing and building neural interfaces that enable patients to move bionic limbs
  • Developing computer simulations that predict and improve battery performance
  • Using personalized, data-driven pre-surgery simulations to assure surgical outcomes

CREATING PARTNERSHIPS

If you would like to partner with us, these are a few ways you can do so:

 
MICDE FELLOWSHIP FOR PROSPECTIVE AND CURRENT PHD STUDENTS
($4,000 per fellowship per year; up to 20 new recipients every year)
Open to current and prospective students whose research project involves the use and advancement of scientific computing techniques and practices. Fellows may use the funds to attend a conference, buy a computer, or any other activity that will enhance their graduate experience.
GRADUATE SUMMER FELLOWSHIPS
($15,000 per 4-month fellowship)
Named after the sponsor company, these fellowships support current U-M graduate students to conduct research during the summer. The fellowships allow students to advance their scholarship while not taking courses over the summer. Awardees will make an annual research presentation and attend a reception with sponsoring companies.
GRADUATE STUDENT FELLOWSHIP
($65,000 per fellowship per year, up to 4 years)
Named after the sponsor company, the goal of these fellowships is to recruit top undergraduate and Master’s students from around the world to pursue Ph.D. degrees at the University of Michigan in areas of engineering, healthcare, and physical sciences. Awaredees will make an annual research presentation and attend a reception with sponsoring companies.

POSTDOCTORAL RESEARCH FELLOWSHIPS

($90,000 per fellowship per year, for 1-2 years)
Named after the sponsor company, these fellowships aim to attract the best junior scientific and engineering talent worldwide to 1-2 year appointments at U-M. Awardees will carry out computational research on the most compelling open questions in medicine, engineering, and physical sciences. They will deliver a research presentation and attend a reception with sponsoring companies.

$20M

U-M investment

in scientific computing

research

778,000

Jobs in computers

and mathematical

occupations by 2020

MICDE also welcomes queries or requests for comments on issues dealing with computing, computational science and engineering and, more broadly, on information technology.

Please contact Dr. Mariana Carrasco-Teja, MICDE Assistant Director, or Prof. Siqian Shen, MICDE Associate Director, for more information or to explore specific opportunities.