[Air-L] HCI Researcher openings at Google Research India

[Nithya Sambasivan]

We are excited to announce a new *HCI-AI group* at the Google Research India
<https://www.blog.google/around-the-globe/google-asia/google-research-india-ai-lab-bangalore/>
lab,
Bangalore. We invite applications for full-time HCI researchers working at
the intersection of HCI and AI/ML. Specifically, we are looking for those
working in sub-fields of natural language processing, intelligent user
interfaces, technology and global development, and data visualization.

Being part of the HCI group at Google Research India provides an
opportunity to do cutting-edge research on human-AI systems that aims to
fundamentally amplify human capacity. Google researchers do fundamental,
long-term research that is incorporated into large-scale, real-world
systems that affect the lives of millions of people. Examples of HCI
research from Google Research are the What-if Tool
<https://pair-code.github.io/what-if-tool/>, Teachable Machines
<https://teachablemachine.withgoogle.com/> and PAIR Guidebook
<https://pair.withgoogle.com/> and examples of AI research are the BERT
<https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html>
 model, Tensorflow <https://www.tensorflow.org/> and Federated Learning
<https://ai.googleblog.com/2017/04/federated-learning-collaborative.html>,
incorporated into several products.

In addition to HCI, the India lab is also home to groups doing research on
artificial intelligence (e.g., deep learning, AI applications for societal
issues, natural language understanding, multi-agent systems), systems,
computational social sciences, and more. India is home to a large and
dynamic technology user base and presents unique opportunities for societal
impact. Our India academic relations move forward the discipline of HCI, as
well as other disciplines, through collaborations, fellowships and
mentorship.

Successful candidates for full-time roles will have a PhD. in HCI or
related fields, a strong track record of scholarship in top-tier HCI
venues, evidence of real-world impact, and an ability to successfully
collaborate with multi-disciplinary teams. An understanding of or
experience with AI/ML technology is a prerequisite.

We also invite conversations on visiting faculty, pre-docs (exceptional
Bachelor's or Master's with an intent to pursue PhDs), post-docs, and
student projects. Pre-docs and Post-docs are 1- to 2-year gigs. Visiting
faculty length varies from a few months to a year.

Interested candidates should contact *Nithya Sambasivan
at nithyasamba at google.com <nithyasamba at google.com>* with a CV and bio. We
especially welcome members from under-represented communities.