Research Associate, Internet of Things (IoT)
Lux Research is looking for candidates with strong technical interest in machine learning/artificial intelligence, embedded systems, connected devices, sensors and/or augmented and virtual reality.
The Internet of Things (IoT) is disrupting nearly every facet of life, from transportation to retail to industrial processes. However, choosing the right technologies that enable IoT ecosystems, whether it be the Smart Home, Connected Car, or Smart Factory is challenging, not to mention understanding how to actually turn them into successful businesses.
Research Associates will research the future of the IoT to help clients grow their businesses and understand their technology decisions. Clients include multi-national electronics, materials, and consumer goods companies in addition to investor, academic, and government groups.
The Research Associate role is an entry-level position on the Lux Research team. Research Associates map the landscape of innovation in emerging technologies to help clients make better decisions about investments, partnerships, and strategy. They spend most of their time identifying and analyzing patents, scientific publications, and financial transactions, drawing on this work to develop and maintain a structured database. Research Associates also manage the process of inviting companies and research labs to brief the Lux Research team, and help to produce the weekly Lux Research Journal intelligence service.
Lux Research provides a unique environment to bolster technical knowledge with business skills, by serving clients interested in monetizing emerging technologies. Clients include multi-national electronics, software, diversified industrials, materials, and consumer goods companies in addition to investor and government groups.
The strongest candidates will be those who are looking to use their technical knowledge to assess the commercial viability and roadmap for emerging technologies. This position does not involve lab-work or technology development; rather it involves building on technical expertise through additional primary and secondary research to identify the best business opportunities and biggest risks for clients.
Other qualifying information: