Work for Eric: Job Listings

The FCC has implemented many regulations requiring the deployment of cryptographically secure caller identification signaling in the all-IP network. 

This enables the carrier to put a notation on the call saying the number was verified. 

This notation is the “Caller Verified” or green check mark on mobile phones and “[v]” in some networks for landline Caller-ID. 

However, subscribers still might not answer a verified call from a number they do not recognize. 

The issue is the subscriber might want to answer the call. 

It could be a store trying to schedule a delivery, a school calling about a school closure, or a bank calling about a suspicious charge. 

One proposal to address this is to have the carrier display the caller’s logo, or brand, to the subscriber when the call arrives. 

The presumption is that while the subscriber might not recognize the caller’s number, they will recognize their logo.

This project will look at the economic impact of branded calling on answer rates, and how the answer rates impact the caller’s business. 

We hypothesize that branded calling will have different impact for different industry verticals. 

For example, while branded calling is likely to increase call answer rates for retail delivery scheduling and health care calls for scheduling, wellness checks, and tracing, we expect it to have little or perhaps even negative impact on debt collectors.

We are seeking undergraduate and graduate research assistants, starting in Summer 2022, to model call answer rates and what the economic impact of higher answer rates has on callers. 

Examples are more sales, fewer missed deliveries, higher customer / constituent satisfaction, etc. 

This modeling will be for a select number of industry verticals. We expect GRA’s to model scenarios, run scenarios, and write up results.

Skills sought

All candidates must have excellent research, writing, and analytical skills. CS students with an interest in economics, finance, quantitative marketing, or business are preferred, but those majors with a CS minor will also be considered. 

We expect to hire more than one GRA for this project, so apply if you match at least half the requirements.

We seek several individuals to research the literature on the status quo of liquify pools, existing market makers across decentralized exchanges, and the characteristics of arbitrage across tokens or coins with different exchange algorithms. 

GRAs will collect and analyze structural characteristics of various arbitrage schemes between different implementations.

This project is ongoing.

Skills sought

A background in computer science and finance is preferred, but applicants with one or the other will be considered. 

You must be able to work well in an interdisciplinary team environment.

Each GRA is expected to work 5 to 10 hours per week and will be working remotely with regular team meetings.

GRAs will take notes, synthesize results, and ultimately make proposals for adoption by the Next G Alliance. 

We urgently need students interested in societal and economic needs and novel applications for 6G wireless systems. 

Students interested in wireless technology, power efficient communications, and using the communications network for energy optimization are also encouraged to apply.

This project is ongoing.

Skills sought

A basic understanding of computer science concepts is a baseline. You must be willing and able to quickly learn about wireless networks.. Interest in policy is a plus.

GRAs will be assigned to one of six specific work groups, which have biweekly GoToMeeting calls. Once you commit, you are committed: Your academic schedule must not conflict with these calls.

GRAs are expected to work remotely for  5 to 10 hours per week.

We seek research assistants, starting in Spring 2023, to work on a multi-year grant to build an obfuscation module for secure communications. 

Tasks include developing and enhancing techniques for obfuscating video, audio, large-file, and low bit-rate data streams. 

We expect success as we will be building on techniques proven to outwit AI/ML detection techniques developed by our prior DARPA RACE work. 

This position will require knowledge of Generative Artificial Intelligence analyzers and generators. 

You’ll help develop an architecture and implementation for popular IoT and mobile devices to provide difficult-to-detect data streams for stenographic obfuscation.

Skills sought

• You must have excellent research, writing, and analytical skills. 
• CS or ECE students with a background in AI are essential. 
• Knowledge of embedded programming would be helpful. 
• Experience with TOR, obfs4, and Snowflake are preferred. 
• Expertise in either Go, Python, or C++ is essential, and knowledge of them all is preferred. 
• Knowledge of embedded system programming would be very helpful. 
• Expertise in real-time protocols, such as RTP, RTSP, and control protocols such as SIP is a bonus.

We seek graduate research assistants (GRAs) starting in Spring 2023 to work on a multi-year grant to build a generalized context-aware spectrum sharing and interference analysis tool that provides a set of dynamic policies and extends the state of the art of spectrum policy regulation. 

Tasks will include: the development and coding of radio propagation models; literature reviews; report writing, copy-editing, and other related tasks. 

As there are multiple openings for GRAs, we do not expect one person to be able to or be interested in doing all these tasks. Apply if any of these are of interest to you. 

Skills sought

All candidates must have excellent research, writing, and analytical skills. An interest in public policy is a bonus.

There are two distinct areas for GRAs. CS and ECE students with knowledge of simulation, data interfacing, or wireless communications are welcome to apply, as are School of Public and International Affairs students interested in communications policy. 

We expect to hire more than one GRA for this project, so apply if you match at least half the requirements. Computer Science / ECE / Mathematics / Physics students are encouraged to apply.

 An understanding of quantitative data analysis will be helpful. 

Programming in MATLAB is required for the implementation positions. 

Strong candidates will have:

• Experience and familiarity with wireless communications.
• A background or demonstrated interest in spectrum modeling (physics background will suffice).
• An understanding of or willingness to learn Monte Carlo simulation techniques.
• An understanding or willingness to learn Web API techniques.

A candidate who has everything except MATLAB might be considered, but will need to build a strong case and demonstrate the ability to learn new environments quickly.

Policy

Preference will be given to students with a background or demonstrated interest in spectrum policy. 

In addition to the expectations noted in the job description, GRAs must be able to: interview stakeholders from government, academia, and industry; take clear, complete notes during interviews; and conduct qualitative data analysis.

GRAs will be expected to work 20 hours per week. There might be the opportunity for policy work at federal agencies in Washington, D.C., and at companies and agencies in Maryland and Virginia.