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Hush Digital Risk Index — Research Fellowship (In-Person, Detroit)
Hush
Company: Hush (gethush.ai)
Location: Detroit, MI — This fellowship is in-person
Type: Full-time Research Fellowship (6–12 months, with possibility of extension)
About Hush
Hush is a Detroit-headquartered digital privacy and personal security company protecting executives, high-net-worth families, and enterprise leaders from data exposure, fraud, impersonation, harassment, and real-world safety risks.
We operate at the intersection of privacy, security, technology, and human risk — and we are building the world’s most comprehensive observatory on how digital exposure translates into financial, reputational, and physical harm.
Our work is guided by four core principles
- Member Obsessed — We exist to protect and serve real people with real risk.
- Relentless Improvement — We pursue continuous rigor, refinement, and excellence.
- Uncompromising Ethics — We treat data, privacy, and trust as sacred.
- Pioneering Excellence — We build what does not yet exist, and we build it well.
This Fellowship is designed for someone deeply aligned with these values.
The Fellowship
Hush is offering a Research Fellowship to design, build, and operate a new, original intelligence product: The Hush Digital Risk Index — a recurring, data-driven publication that measures how digital exposure, AI, online behavior, and emerging threats affect individuals, executives, and families in the United States.
This is an opportunity to
- Create a new category of intelligence from the ground up
- Work with novel, real-world datasets at the frontier of fraud, privacy, and safety
- Shape how journalists, policymakers, and business leaders understand digital risk
- Publish work that is cited, influential, and consequential
This fellowship is in-person at our Detroit office and is best suited for someone who thrives in a high-ownership, intellectually demanding environment.
What You’ll Do
- Design the conceptual and analytical framework for the Hush Digital Risk Index
- Define metrics, methodologies, and thresholds for digital exposure, impersonation, fraud, and threat escalation
- Integrate and analyze data from:
- Public and government sources (FBI, FTC, DOJ, DHS, etc.)
- Industry and academic datasets
- Hush’s proprietary, anonymized exposure and risk data
- Identify trends, anomalies, and emerging risks
- Ensure rigor, reproducibility, and ethical handling of sensitive data
- Produce:
- Monthly “Signal Briefs”
- Quarterly flagship Index Reports
- Translate technical findings into clear, externally publishable insights
- Collaborate with communications and leadership to support media briefings and public interpretation
Who Should Apply
This Fellowship is well-suited for
- Current or recent PhD candidates
- Post-doctoral researchers
- Exceptional Master’s-level candidates with strong quantitative or analytical backgrounds
In fields such as data science, social science, criminology, economics, public policy, computer science, or related disciplines.
You may be a strong fit if you
- Are comfortable working with large, imperfect, real-world datasets
- Have strong statistical, analytical, and methodological skills
- Can translate complex findings into clear narratives
- Care deeply about ethics, privacy, and responsible data use
- Enjoy building something new from scratch and owning it end-to-end
- Are aligned with Hush’s core principles and want your work to have real-world impact
Location & Work Environment
- This Fellowship is in-person in Detroit, Michigan.
- We believe this work benefits from deep collaboration, proximity to leadership, and immersion in the mission.
- Relocation support may be available for exceptional candidates.
Compensation
- $45–$60 per hour, depending on experience and qualifications
- Full-time expected (40 hours/week)
- 6–12 month initial term, with possibility of extension
How to Apply
All applicants should apply directly via LinkedIn using the “Easy Apply” or application link on this posting.
Please include
- Your resume or CV
- (Optional) A link to prior research, writing, or analytical work
Equal Opportunity
Hush is an equal opportunity organization. We value diverse perspectives and backgrounds and are committed to building a team that reflects the complexity of the world we study and protect.
A Note to Candidates
- This Fellowship is the creation of a new category of intelligence — the measurement of human-level digital risk. The goal is not simply to analyze data, but to build a durable, credible observatory that helps society understand how identity, technology, and exposure are reshaping risk.
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