The future of AI

Harnessing the power of human-AI collaboration

The true promise of AI lies at the intersection of humans and intelligent machines, helping each achieve what neither could alone and to transform society for the better. Northeastern’s Institute for Experiential AI advances this human-centered approach, enabling us to design, implement, and scale AI to help people reach greater productivity and creativity at work, lead healthier lives, and build stronger communities.

Research across a sweeping range of disciplines

  • Applied analytics
  • Bioinformatics
  • Biomaterials
  • Biotechnology
  • Computer science
  • Cybersecurity
  • Data and network science
  • Data visualization
  • Environment and sustainability
  • Genomics
  • Health data analytics
  • Law and ethics
  • Machine learning
  • Neuroscience
  • Precision medicine
  • Therapeutics discovery

We’re building tomorrow’s autonomous systems

To create AI-driven technologies that will work with and for people, not simply replace them, we’re expanding our expertise. Supported by a $50 million investment, the Institute for Experiential AI is recruiting 30 new tenure-track and research and teaching faculty, research scientists, and postdoctoral fellows.

Apply for a postdoctoral fellowship

To help meet the demand for AI researchers, the institute seeks postdoctoral research fellows who will work with faculty mentors to complete two years of coursework and a leading-edge research project—with the ultimate goal of advancing into a tenure-track research or teaching faculty position at Northeastern. Applicants from any scientific or technological field with an affinity for mathematics are urged to apply. Deadline for submissions is March 15, 2021.

News & Updates

Northeastern University launches Institute for Experiential AI: At this critical moment, Northeastern is launching a pioneering research hub that will place human skills and intelligence at the forefront of artificial intelligence development, from the earliest design steps to the final implementation.