Qoherent aims to publish a series of short-form (300 word) articles on opportunities and challenges of AI/Software-defined radio within various industries.

We hope to find students who will research, then summarize and compile findings into draft marketing copy for posting to various channels such as LinkedIn, Medium and more.

One example includes this article.

Our goal for this project is 3 draft articles, which we would then edit and post, while crediting the student.

We have several topics in mind, but if students wish to propose their own after orientation, we are open to that.

Example topics include:

• AI-based radios in drone detection, defense, maritime, connected vehicles, telecom, etc.
• MLOps opportunities and challenges
• Software-defined radio in drone detection, defense, maritime, connected vehicles, telecom, etc.

Qoherent will begin the project with an orientation of its current business, its target markets, and any necessary coaching to complete the project.

Students will be tasked with:

Research

• Researching a market segment for opportunities and trends.
• Reviewing relevant survey literature (e.g. IEEE proceedings) for technical opportunities and challenges.
• Perform analysis on findings.

Compilation & Writing

• Summarize findings, rank them then perform additional research to support the creation of an article
• Organize them into an outline for an article
• Drafting the article

Students should spend up to 25 hours per article for a total of 3 articles.

Qoherent will begin the project with an orientation of its current business, its target markets, and any necessary coaching to complete the project.

All activities will be done through Qoherent's CEO who will do a 2-hour initial orientation and follow-up with the students.

We will schedule multiple check-ins with the student groups, but we will also be available ad-hoc as necessary to help guide the project.

The CEO will be available via email.