Interdisciplinary Researcher

We are a forward-looking team bringing groundbreaking human interaction into consumer products. We work at the frontier of weak signal sensing and researching their information content, translating fundamental discoveries into transformative technology.

Description
We are looking for a talented researcher with a can-do state of mind, eager to combine psychology, physics, data science, and ML to probe the limits of human interaction. You are passionate about enabling the sensing of weak signals, uncovering their information content, and turning that understanding into real consumer experiences. If you are driven to push the boundaries of what's measurable and translate it into technology the world hasn't seen yet, we want to hear from you.","responsibilities":"Define research topics and strategies aligned with system and product requirements
Design, build, and operate methods and test setups to quantify system performance.
Design new ways to collect, analyze, and interpret data, translating insights into technology capabilities and product specifications.
Apply existing knowledge to novel approaches to enhance weak signals and compensate for lack of information.
Characterize material and system-level physical limits to inform design feasibility and define system requirements
Develop and analyze real world experiments to support systems work
Analyze and report results clearly to enable cross-functional teams to make informed design decisions
Partner with multidisciplinary teams across hardware, software, and systems engineering to drive research from concept to product

Preferred Qualifications
PhD in one of the above fields
Knowledge of human probing methods
Experience in multi-modal human models
Outstanding communicator with the ability to present complex technical findings to diverse audiences
Collaborative team player who thrives in multidisciplinary, cross-functional environments

Minimum Qualifications
MSc in Neuroscience, Computer science, Physics or a closely related field
5+ years of hands-on experience in a data oriented role