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HAI Engineering Fellowship

HAI Engineering Fellowship

December 5, 2018

 

A big part of what makes AI so exciting is its broad applicability, with new examples appearing all the time. But despite the remarkable speed with which this technology has transformed industries and daily life alike, we’ve only realized a fraction of what’s possible. Many of AI’s most creative and empowering applications, like assisting the work of historians or predicting the migration of infectious disease vectors, lack the clear business cases necessary to attract commercial development. In fact, even fields like education and healthcare, where AI promises a genuine increase in quality of life for people all over the world, have taken only preliminary steps towards real-world use.

With so much potential at stake, how can we ensure this astonishing space of possibilities is explored more fully?

The Human-Centered AI Institute

Answering this question is one of the primary goals of Stanford’s recently-announced Human-Centered AI Institute (HAI), which organizes thought leadership across the academic spectrum to guide the future of intelligent machines in the direction of human flourishing. As home to both leading AI research and many of the fields it stands to influence or be influenced by—law, medicine, natural sciences, the humanities and more—our campus is ideally suited to foster such cross-disciplinary dialogue.

Moreover, it provides a natural environment for sharing the capabilities of our AI talent with an ever-growing community of domain experts who recognize the role this technology can play in powering the next generation of breakthroughs in their work. From archeologists to oncologists, these are visionaries in need a qualified partner to take the next step.

It’s with this in mind that we’re announcing the 2019 HAI Engineering Fellowship.

The HAI Engineering Fellowship

As an HAI Engineering Fellow, you’ll have the opportunity to work hand-in-hand with Stanford researchers, contributing to cutting-edge research that spreads the power of AI across academic boundaries. You’ll also participate in intellectual life across campus, including workshops, events, professional training, and interaction with students. And along the way, you’ll develop a uniquely rich blend of experience and achievements. Terms will begin throughout 2019 and will range from six to 18 months.

The fellowship will serve as an entry point to a wide range of research opportunities, and we’re looking for suitably diverse candidates to match. Perhaps you’re an industry veteran looking to solve an entirely new class of problems, a postdoc eager to explore the full range of your academic potential, or even a junior engineer ready to take the next step towards mastery. No matter your background, we’re looking for candidates that stand out in a selective screening process, motivated to make the most of a high-prestige position, and driven to explore AI as a force for good.

Applicants are expected to have a strong foundation in AI, including an advanced degree in computer science or equivalent combination, experience in machine learning, deep learning, algorithms, and linear algebra, strong software engineering skills with provable track record, as well as expertise in Python, TensorFlow, C++ and Matlab. Full details can be found on the HAI careers page.

A step towards the future of AI

Industry has shown a remarkable capacity for advancing consumer-facing applications of AI, like self-driving cars and personal assistants. But history has taught us that the greatest innovations often come from unexpected places, which is why we all stand to gain by empowering as many fields as possible with this technology—whether it’s the acceleration of rare disease treatment, a breakthrough in astrophysics, or something we can’t even imagine yet.

The HAI engineering fellowship is a powerful first step towards exploring the full space of these possibilities—and demonstrating the immense value of AI as a cross-disciplinary pursuit in the process. It aims to prove that a little cooperation can go a long way, and that even individual researchers can make a difference.

We face a future that’s every bit as challenging as it is exciting. Let’s work together to make it a good one.