Speculative Design Researcher, Brain-Computer Interfaces

Job Summary

About the role
This is a research-driven design role focused on the next generation of human interaction with brain-computer interfaces. The person in this role will imagine how people will interact with technology as BCIs move toward becoming as common as the smartphone, and, just as importantly, prove that vision through hands-on prototyping. This is speculative design, but not vision for its own sake. The work is to picture a next-generation system, backtrack to what we can build now to move toward it, and think through what that future would mean for society if it arrives.

The role sits at the intersection of speculative vision and hands-on execution. It requires a designer who can define a new interaction paradigm and then build the working prototypes that bring it to life and test whether it holds up. The emphasis is on making, not only thinking: concepts become prototypes, and prototypes become the evidence for the vision.
Because the systems imagined in this role are intelligent, personal, and context-aware, the work spans interaction design, information architecture, and the design of how people communicate with an intelligent agent. The ideal candidate is as comfortable organizing complex information and memory into a coherent system as they are crafting the moment-to-moment experience of using it, and can weigh the broader implications of these technologies for people and society.

Artificial Intelligence (AI) / Machine Learning (ML) Engineers


Research, design, develop, test, and support artificial intelligence (AI) and machine learning (ML) frameworks and models. Leverage AI/ML techniques to answer business questions, support business strategies, and deliver valuable quantitative insights to improve products. Develop sophisticated algorithms to automate processes and tasks. Collaborate with internal stakeholders to understand business and technical needs. Code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Remain up to speed on cutting edge research for AI technology and concepts.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

Responsibilities
Responsibilities

• Envision next-generation interaction paradigms for a future in which brain-computer interfaces are mainstream, and backtrack to what can be built today to move toward it.

Speculative Design Researcher, Brain-Computer Interfaces

Job Summary

About the role
This is a research-driven design role focused on the next generation of human interaction with brain-computer interfaces. The person in this role will imagine how people will interact with technology as BCIs move toward becoming as common as the smartphone, and, just as importantly, prove that vision through hands-on prototyping. This is speculative design, but not vision for its own sake. The work is to picture a next-generation system, backtrack to what we can build now to move toward it, and think through what that future would mean for society if it arrives.

The role sits at the intersection of speculative vision and hands-on execution. It requires a designer who can define a new interaction paradigm and then build the working prototypes that bring it to life and test whether it holds up. The emphasis is on making, not only thinking: concepts become prototypes, and prototypes become the evidence for the vision.
Because the systems imagined in this role are intelligent, personal, and context-aware, the work spans interaction design, information architecture, and the design of how people communicate with an intelligent agent. The ideal candidate is as comfortable organizing complex information and memory into a coherent system as they are crafting the moment-to-moment experience of using it, and can weigh the broader implications of these technologies for people and society.

Artificial Intelligence (AI) / Machine Learning (ML) Engineers


Research, design, develop, test, and support artificial intelligence (AI) and machine learning (ML) frameworks and models. Leverage AI/ML techniques to answer business questions, support business strategies, and deliver valuable quantitative insights to improve products. Develop sophisticated algorithms to automate processes and tasks. Collaborate with internal stakeholders to understand business and technical needs. Code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR). Remain up to speed on cutting edge research for AI technology and concepts.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

Responsibilities
Responsibilities

• Envision next-generation interaction paradigms for a future in which brain-computer interfaces are mainstream, and backtrack to what can be built today to move toward it.