Research Opportunities

Radiator Labs, Inc. - Data and IoT Postdoctoral Fellowship

SBIR Award Title

SBIR Phase II: Low-cost, Wireless, Energy Harvesting Environmental Sensors

SBIR Award Abstract

This Small Business Innovation Research (SBIR) Phase II project focuses on the development of a low-cost, wireless, and energy harvesting environmental sensor, and a data aggregation / visualization platform to enable effective communication of data to users and control systems. This project addresses major barriers in our main market, the application of IoT to the buildings sector, where complexity is encountered in the placement and powering of sensors in monitoring locations where access is limited. By reducing the upf... more

Research Opportunity

Data and IoT Postdoctoral Fellowship


63 Flushing Ave
Building 292, Suite 409A


Rigers Qeraj

Principal Investigator

Rigers Qeraj


A Postdoctoral Fellowship position is available at Radiator Labs, a technology company located in Brooklyn, New York, developing an advanced technology demonstrated to reduce the energy use in steam-heated buildings by up to 40%. This position, funded by the National Science Foundation, will develop the tools and theory to examine Radiator Labs' unique building information dataset and develop actionable insights relating to building operation and energy efficiency. The candidate will also help develop tools to automate building processes and diagnostics by applying machine learning and data mining techniques.

In addition to examining topics of immediate interest to Radiator Labs, the candidate will have the opportunity to develop their own research topics in smart buildings and IoT. The successful candidate will lead the analysis, presentation, and publication of their research, and contribute to the general day-to-day operations of the company.

Desired Knowledge

Minimum Requirements:

PhD in computer science, electrical engineering, applied mathematics, or a similar discipline.
Strong interest in research and learning new technologies.
Proficient at writing technical papers/reports/presentations.
Experience with Python.
Ability to work with large data sets, cloud-based development and deployment, open source practices is a plus.
Applicants must be U.S. citizens, U.S. nationals or U.S. permanent residents.
Applicant must have received a Ph.D. degree in the past 7 years.

Preferred Qualifications:

Experience in methods, theory, and application of machine learning and data mining.
Experience with data presentation and visualization.
Experience with databases and time series data.
Experience with streaming data analysis.