Visiting Faculty Researcher, Human Centered AI
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Minimum qualifications:
- PhD degree in Human Factors, Psychology, Human Computer Interaction, Cognitive Science, Computer Science, Information Science, a related field or equivalent practical experience.
- 5 years of experience conducting qualitative research with strengths and shortcomings of different methods, including their application during each product phases like interviews, usability testing, diary studies, contextual inquiries, surveys, benchmarking.
- Experience in contributing to research communities or efforts, including publishing papers at academic conferences (e.g., CHI, UIST, NIPS, ICML, ACL, CVPR, etc).
Preferred qualifications:
- Experience in addressing misinformation in technology or in academics.
- Experience in Human Computer Interaction.
- Experience in using Generative AI products.
About the job
At Google, research-focused Software Engineers are embedded throughout the company, allowing them to setup large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. But you stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers.
In this role, you will have the opportunity to explore projects at industrial scale, work with technology, and experience Google culture. You will return to the universities with new research directions and educational ideas. You will collaborate on a project proposal that includes expected outcomes and results.Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Responsibilities
- Conduct qualitative research (e.g., interviews, workshops) on topics related to responsible Artificial Intelligence (AI).
- Develop design and evaluation guidance for responsible AI systems.
- Work with vulnerable populations and community-based organizations, and design study protocols to comply with related human subjects and data ethics standards.
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