Research Scientist - Channel Simulation and Data...

NYU, with its world-class industrial affiliates program and extensive research expertise in wireless communications, is partnering with one of the world’s largest professional engineering organizations to create unique research and development offerings for the wireless communications industry. In fulfillment of this mission, NYU is seeking a talented, motivated and energetic Channel Simulation and Data Analytics Researcher to lead efforts in creating state of the art RF channel simulators, software, and data analytics tools for statistical and site-specific radio frequency (RF) propagation prediction products in collaboration with our partner., The collaboration will serve the wireless communications industry with much needed propagation data and analytics from new environments and frequency bands never explored. NYU is a vibrant, dynamic and fast paced creative leader in this field. This collaboration will operate much like a start-up within NYU for an initial period but rapidly become self-sustaining with anticipated growth and will provide vast research publication and teaching opportunities while building a global user base. The Channel Simulation and Data Analytics Researcher has an opportunity to play a key role in this success and play a vital role in NYU’s wireless communications research community, as well as provide fundamental knowledge on the world stage., A Research Scientist who wishes to continue research in wireless communications with advanced AI/ML approaches. Initial three-year appointment with potential extension based on program success., The Channel Simulation and Data Analytics Research Scientist will plan, manage, oversee and carry out extensive data processing and coding to implement existing data sets and channel modeling simulators in Python, and to build AI-based software tools to create new propagation prediction software, working with Professors Theodore S. Rappaport and Daniel Abraham in the NYU WIRELESS center, and NYU’s Technology and Opportunity Ventures office. Implement statistical and site specific and channel models based on past and future empirical databases. Implement AI and ML techniques to enhance and improve the creation of statistical and site-specific propagation simulators. Coordinate and lead data science activities related to channel measurements and channel modeling, while leading a team of graduate and undergraduate students.

Master and improve the code base for all measurement systems, data processing approaches, and resulting models and simulators. Implement all logistics and software development tools and systems for best practices for the on-going coding for measurement campaigns, and for raw database sets and statistical and site-specific channel models based on empirical data. Provide data analytics that explore new methods for characterizing wireless channels:

• Statistical and site-specific models based on empirical data

• Use AI/ML techniques to enhance propagation simulators

Lead graduate students in all the above activities, publish results in peer reviewed literature, present data and papers in IEEE and industry/3GPP standard bodies, and provide data in specified data formats to our partner.

Desired Requirements: Previous experience in RF Channel modeling and coding for wireless propagation analytics, channel analysis and simulators. Strong experience building and implementing AI/ML models, creating algorithms, running simulations. Experience with Python and data science libraries. Experience in AI/ML applications for RF channel modeling a plus.

• In-depth knowledge of state-of-the-art machine-learning algorithms, tools, and technologies for large-scale data. Strong research background or publication record in solving complex computational problems using data analytics methods.

• Hand-on experience using complex machine-learning models to resolve large-scale data

• analytics challenges, deploy, fine-tune and execute machine learning models in production.

• Strong coding skills in Python, Spark, SQL, TensorFlow, Pytorch, or similar machine-learning and data engineering frameworks.

• Preferred: experience with wireless data.

• Excellent communication skills.

• Demonstrated program coordination experience, ideally in an academic setting.

• Candidates must present proof of eligibility to work in the United States.

In compliance with NYC’s Pay Transparency Act, the annual base salary for this position will range from $100K to $120 depending on the candidate’s experience and qualification.

NYU employee benefits: Medical/Dental Insurance, PTO

Minimum Requirements: Ph.D. in electrical engineering, more specifically, RF engineering.

The Electrical and Computer Engineering Department at NYU Tandon School of Engineering is seeking to hire two (2) Postdoctoral Associates to join an exciting project to commercialize next generation wireless data and analytics.

New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, has a distinct history of having been known previously as Brooklyn Poly and the NYU Polytechnic School of Engineering. It is

deeply committed to excellence in teaching and learning. Tandon fosters innovation and entrepreneurship among students and faculty who make a difference in the world.