IAESTE Internships

Location

United States, PU

Internship type

ON-SITE

Reference number

US-2025-CS-NK

Students Requirements

General discipline

Computer Science / Informatics
Environmental Engineering/Sciences

Completed Years of Study

3

Fields of Study

Languages

English Excellent (C1, C2)

Required Knowledge and Experience

-

Other Requirements

•Self-motivated with the ability to work independently and as part of a research team•Basic experience or willingness to learn geospatial analysis (GIS, spatial statistics)

Work Details

Duration

16 - 18 Weeks

Within These Dates

01.08.2025 - 19.12.2025

Holidays

NONE

Work Environment

-

Gross pay

2400 USD / month

Working Hours

40.0 per week / 8.0 per day

Living Lodging

Type of Accommoditation

Trainee

Cost of lodging

1800 USD / month

Cost of living

2200 USD / month

Work Offered

Additional Info

Work description

Short-Term Visiting Scholar for Data Analysis of Female Hearing Health Disparities in Rural AreasObjective:This research investigates why female hearing loss (FHL) rates in certain rural counties are higher than expected despite lower exposure to traditional hearing risks (e.g., industrial noise). The project aims to analyze public health and infrastructure data to uncover hidden factors influencing these disparities.By examining large datasets from sources like the U.S. Census, county-level health records, and geographic data, the research will explore how limited healthcare access, environmental conditions, and rural infrastructure contribute to hearing health outcomes. The findings will help design solutions to improve hearing healthcare access for women in underserved areas.Key Responsibilities:1. Data Analysis & Visualization: Work with large public health datasets and apply Python-based statistical methods to analyze trends Use data visualization tools (Matplotlib, Seaborn, or Plotly) to present findings clearly Identify geographic patterns of hearing loss using GIS or spatial statistics tools (training can be provided)2. Exploring Hearing Health Trends: Examine social, economic, and infrastructure-related factors affecting hearing health Compare hearing loss rates across different county-level datasets Identify gender-specific disparities in hearing health outcomes3. Research & Policy Development Support: Help structure evidence-based public health recommendations Assist in developing digital health tools and intervention strategies Work with rural health experts and policymakers to connect findings with real-world applicationsExpected Outcome:By the end of the short-term engagement, the scholar will contribute to working with large-scale health datasets, gaining hands-on experience in analyzing and interpreting complex public health information. Through this experience, you will learn how to apply Python for data-driven research, using statistical and visualization tools to uncover meaningful patterns and trends in hearing health disparities.By contributing to this research, you will have the chance to participate in academic discussions, collaborate on research papers, and help shape policy recommendations aimed at improving hearing health in underserved communities. Your work will not only build valuable analytical and research skills but also contribute to a project with real-world impact on public health and healthcare equity.

Deadline

03.04.2025