Artificial Intelligence

We’re seeking exceptional faculty to move Mizzou Forward in Artificial Intelligence. To further interdisciplinary collaboration, the university will consider faculty candidates in several areas of research.

Research Areas

  • Artificial intelligence (AI) has the potential to solve some of the world’s most complex problems. At Mizzou, we leverage interdisciplinary resources to ensure AI technologies have real-world applications in health care, sustainability, infrastructure and material product development, while also factoring in privacy, bias and other ethical considerations.
  • Researchers are developing new AI applications—from improving human rights, to assembling fossils, to optimizing athletic performance—while simultaneously sharpening AI and making it even more intelligent. 
  • We are using simulated data to train machines to better understand not only how but also why AI makes specific decisions and are working to improve security of “smart” devices. 

Candidates with compelling research success outside these categories will also be considered.

Hellbender High-Power Computing environment

Apply or Nominate a Researcher

A successful MizzouForward candidate is an accomplished researcher with a passion for collaboration and the desire to address our world’s most pressing needs. The colleagues we’re looking to recruit possess:

  • A proven track record of external research funding, particularly from federal agencies
  • A research agenda that complements the goals of MizzouForward
  • A strong publication record
  • Evidence of external recognition of one’s work, such as national awards and honors, membership with national academies, etc.
  • Interdisciplinary research that has the potential to impact multiple disciplines

If you’re interested in learning more or you know an exceptional investigator who can help us reach our research goals, we want to hear from you. Faculty ready to move Mizzou forward should apply now.

Apply Now Nominate a Researcher

Why Artificial Intelligence at Mizzou?

Some of the resources available to support researchers include: 

 

  • The Scalable Data Science (SDS) Lab focuses on scalable algorithms, techniques, and systems for gaining insights from massive, diverse datasets using data/knowledge management, cluster computing, and machine learning/deep learning for domains such as the Web, ecommerce, healthcare, and defense applications.
  • Researchers across the University of Missouri System will have access to next-generation storage and computing technology. Hellbender, the new High-Power Computing (HPC) environment, essentially completes the foundational elements of the university’s Research Data Ecosystem.
  • The Center for Geospatial Intelligence (CGI) – Mizzou includes a variety of specialized research laboratories and high-performance computing infrastructure dedicated to working on geospatial intelligence problems in support of national security objectives. 
  • The Mizzou Center for Cyber Education, Research and Infrastructure supports interdisciplinary researchers who are tackling scientific and engineering challenges around cyber innovations including artificial intelligence and machine learning, as well as cyber infrastructure and cybersecurity.  
  • The Mizzou INformation and Data FUsion Laboratory (MINDFUL) focuses on information fusion around computational intelligence, machine learning and artificial intelligence.  
  • Mizzou is part of the Center to Stream Healthcare In Place, a National Science Foundation I/UCRC. At Mizzou, the focus is to leverage technology, including artificial intelligence, to support older adults and to help them lead healthier and more independent lives. 
  • The Missouri Center for Transportation Innovation is a powerful network of partners including the four University of Missouri campuses, the Missouri Department of Transportation (MoDOT), the Federal Highway Administration (FHWA) and more, providing access to cutting-edge resources including simulators, machine learning and virtual reality. 
  • The Bioinformatics and Machine Learning Lab focuses on applying bioinformatics, machine learning and artificial intelligence to protein structure, interaction and function prediction; 3D genome structure modeling; and biological network modeling on omics data.  
  • The Institute for Data Science & Informatics supports faculty from 24 departments to support interdisciplinary research around bioinformatics, health informatics and geoinformatics.  
  • The Dependable Cyber-Physical Systems (DCPS) lab develops theory, methods and tools for supporting modeling, design, and (formal) verification of highly dependable embedded and cyber-physical systems, including secure artificial intelligence and machine learning.
  • EPSCoR: Cyberinfrastructure Team  collaborates with the research and education teams and leverage existing resources to increase high performance computing, storage, and visualization capabilities through EPSCoR dedicated servers.
  • Smart Farms/Precision Farming and AI 
  • Genetics Area Program is an interdisciplinary PhD program that will prepare students for a research or teaching career in genetics. 

Artificial Intelligence Advisory Committee

MizzouForward is comprised of multiple advisory committees. Each committee is interdisciplinary in its composition and they review the applicant materials, conduct Zoom interviews with candidates and make recommendations to the hiring authorities.

Artificial Intelligence Advisory Committee