Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

Publisher
source

David Broniatowski

3 weeks ago

Post-Doctoral Fellow in Statistical Measurement Science & Forensic Transparency at NIST National Institute of Standards and Technology in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
Country flag

Country

United States

University

National Institute of Standards and Technology

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Biology
Measurement Science
Python Programming
Uncertainty Analysis
Forensic Science
Medical Science
Data Visualization
Bayesian Statistics
Nonparametric Statistics
Statistics

Suggested positions

About this position

George Washington University and the National Institute of Standards and Technology (NIST) are advertising a Post-Doctoral Fellow opportunity in statistical measurement science, forensic transparency, and biology through the NIST Professional Research Experience Program (PREP).

The project focuses on making algorithmic forensic claims more transparent, traceable, and understandable. The successful candidate will study how automated forensic comparison software and biological cell-viability systems perform under changing data quality and environmental conditions, including issues such as scratched or corroded cartridge cases and other sources of variability.

Research topics include uncertainty quantification, non-parametric statistics, hierarchical mixed-effects modeling, Bayesian inference, Stan, MCMC, and performance assessment using ROC/AUC and related classification metrics. The role also involves designing statistical experiments, apportioning sources of variability, and building interactive explanatory tools and dashboards in Python or R.

Applicants should have a Ph.D. in Statistics or a closely related quantitative field. Strong preparation in non-parametrics, ANOVA, statistical decision theory, time series, and classification assessment is requested, along with fluency in Python and/or R, Git, and Stan.

The position is located at the NIST campus in Gaithersburg, Maryland, United States. The post does not mention a deadline or funding amount, but it is presented as a postdoctoral research appointment. Interested candidates should use the provided application link to apply.

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

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?

Professors