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Sebastian Jilke

1 week ago

Post-Doctoral Fellow in Public Management, Administrative Burden, and Data Science Georgetown University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Georgetown University

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Keywords

Computer Science
Data Science
Information Technology
Political Science
Public Administration
Management
Digital Governance
Statistics

About this position

Georgetown University’s Better Government Lab is hiring a Post-Doctoral Fellow for a research-only appointment focused on public management, public administration, administrative burden, and data science.

The fellow will work on projects measuring and reducing administrative burden in safety net programs. The post highlights interest in civic tech, digital governance, and responsible AI as desirable complementary areas. This is a strong fit for candidates with quantitative and computational research skills who want to contribute to policy-relevant work in government and social programs.

The position is based at the Better Government Lab at Georgetown University and offers geographic flexibility. It is a one-year appointment with a start date of August 2026 or earlier. The post also notes that ABD PhD students in adjacent fields are welcome to apply, broadening eligibility beyond completed doctorates.

Applicants should be prepared to demonstrate strong data science capability and relevant background in public management/administration. No teaching is required. For full application details, use the Interfolio portal linked in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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