AN INVESTMENT TO

Redefine What’s Possible.

Johns Hopkins has made a historic commitment to build the nation’s foremost destination for emerging applications, opportunities, and challenges presented by data science, machine learning, and AI.

The new Data Science and AI Institute will include a state-of-the-art facility on the Homewood campus and an expansion of our computing resource capacity to the scale required for an initiative of this dimension.

We’re also making an unprecedented investment in people:

80 new tenure-track faculty, the largest cluster hire in the history of the Whiting School of Engineering, in the departments of Computer Science, Electrical and Computer Engineering, and Applied Mathematics and Statistics.

30 NEW ENDOWED CHAIRS as part of the Bloomberg Distinguished Professorships program with joint appointments across JHU divisions.

30 AI-FOCUSED RESEARCH SCIENTISTS AND ENGINEERS to support new engineering faculty projects.

40 NEW TENURE-TRACK FACULTY outside of AI to strengthen all engineering departments.

A PROJECTED 750 NEW PHD STUDENTS across all areas of engineering.

THE OPPORTUNITY

We’re seeking bold, interdisciplinary leaders who are redefining applied mathematics and statistics.

Our goals are ambitious. So are the experts we’re searching for: Great minds in applied mathematics and statistics who are as committed to redefining AI’s horizons as they are to making an exponential impact on humanity.

At Hopkins, you’ll shape curricula, inspire students, and spearhead innovative programs that will expand the vision and potential of the institute.

Our aplied mathematics and statistics faculty benefit from having the support for visionary cross-divisional research projects. They have access to the institution’s full resources, including those available through our top-ranked Schools of Medicine, Public Health, Arts and Sciences and the Applied Physics Laboratory.

If you’re looking to advance your professional trajectory and leave an outsized imprint on the field, we’d like to talk to you.

apply now

Johns Hopkins University

The nation’s first research university never stops evolving.

Johns Hopkins University’s history is rooted in multidisciplinary collaboration and discovery.
‍It's a legacy of academic excellence and societal impact that spans nearly 150 years. In that time, we’ve defined and redefined the limits of innovation, developed the research that’s advanced our civilization, and discovered new worlds beyond and within our own.

We've helped change humankind for the better.

And that's just the beginning.

A student works on a computer, controlling a large robotic arm

The daVinci surgial robot performs a demonstration surgery

A community member writes code on a laptop. Adjascent screen displays pie graphs.

Johns Hopkins leads all U.S. universities in R&D spending—with a record-breaking $3.4 billion in the last fiscal year.

APPLIED MATHEMATICS AND STATISTICS AT THE WHITING SCHOOL OF ENGINEERING

A computing powerhouse driving innovation in AI.

The Department of Applied Mathematics and Statistics is accelerating knowledge and fueling innovations that push the limits of imagination. Our work continues to redefine technology’s role in society while serving humanity on a global scale.
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We are a collaborative and diverse community, dedicated to solving critical societal problems. Our research in data science, machine learning, and AI addresses today’s most critical challenges—disease diagnosis, national security, sustainable energy, social policy and equitable access to technology.
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We partner across university divisions with colleagues at Johns Hopkins’ schools of Medicine and Public Health and scientists at the Applied Physics Laboratory. We also work closely with industry through innovative collaborations and funding opportunities.
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We’re pursuing the potential and promise of data science and AI in an environment where the values of humanity, ethics, and accessibility are integral—and where innovation is informed by the diverse voices and perspectives that reflect the world we serve.

BUILDING ON A DECADE OF GROWTH
IN ELECTRICAL AND COMPUTER ENGINEERING

2012-2023

548%

INCREASE IN RESEARCH FUNDING

206%

INCREASE IN
UNDERGRAD APPLICATIONS

317%

INCREASE IN
MASTER'S APPLICATIONS

79%

INCREASE IN
PhD APPLICATIONS

32%

FACULTY GROWTH

AREAS OF FOCUS:

Stylizing representation wires in a computer network

NETWORK SCIENCE

Applying connectomics, community detection, graphon models, and statistical analysis of networks. Untangling the intricate connections in complex networks tp enable more reliable data decisions.

Two people work with a robotic arm in a laboratory

MACHINE LEARNING

Utilizing federated learning, fair and trust-worthy AI, generative models, equivariant ML, neural networks, large-scale optimization, and stochastic optimization.

A stylzied representation of a neural network

IMAGING SCIENCES

Applying the science to astronomy, medical imaging, computational anatomy, shape spaces, and electrical impedance tomography. Recent research includes a data science-driven approach matching data from telescope surveys to provide insights into the universe and its celestial bodies.

Boxes in a warehouse. Graphics and metrics overlayed on the image as in in AR.

OPERATIONS RESEARCH

Conducting research with nonlinear optimization, graph theory, combinatorial optimization, convex analysis, and robust optimization.

Stylized graphic of a fingerprint on a circuit board

HEALTH SCIENCES

Using the science to address digital twins, precision medicine, bio-informatics, systems biology, cancer, AIDS. Recent research includes revealing physiological links between HIV and neuropsychiatric disorders using a machine learning method.

COMPUTATIONAL AND APPLIED MATHEMATICS

Revealing valuable insights using fluid dynamics, control theory, photonics, and inverse problems. For example, using a mathematical solution to help improve quality of life in blighted communities.

FINANCIAL MATHEMATICS

Applying discoveries to green energy, commodity options and futures, trading bots, crypto-currency, optimal information acquisition, ML in finance, mean-field games, and stochastic analysis.

THE REGION

Live. Work.
‍Transform.

BALTIMORE is a vibrant and diverse urban location with much to offer:

A rich history and cultural life
An abundance of nearby outdoor activities
Affordable and diverse housing, both in the city and surrounding areas
Excellent school options — both public and private
Consistently ranked among the nation’s top “foodie” cities
Professional sports — Ravens (NFL), Orioles (MLB)
Proximity to federal government agencies and government contractors, policy makers and advocates

A map of the Mid-Atlantic. Concentric circles focus on the DMV, then the Hopkins shield over Baltimore.

Located at the crossroads of the East Coast’s most influential cities and close to leading government, tech, health, and industry players, Hopkins provides unmatched proximity to power—an ideal environment to spark and showcase your work.

4 images: A bridge over the Chesapeake Bay, crabs dusted with Old Bay, storefronts in the Hampden neighborhood, manicured lawns in front of houses in a residential neighborhood

ETA BY TRAIN:

Baltimore to Washington D.C.: 35 min

Baltimore to Northern Virginia: 1.25 hours

Baltimore to Philadelphia: 1.25 hours

Baltimore to NYC: 2.5 hours

Interested?

Learn more about Johns Hopkins Engineering and our transformational investment in Data Science and AI.

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BUILDING ON A DECADE OF GROWTHIN ELECTRICAL AND COMPUTER ENGINEERING

AREAS OF FOCUS:

A FOUNDATION FOR DISCOVERY

Live. Work.‍Transform.

BUILDING ON A DECADE OF GROWTH
IN ELECTRICAL AND COMPUTER ENGINEERING

Live. Work.
‍Transform.