Department

UNT-Geography-121700

Job Location

Remote

Full Time/Part Time

Full-Time

Retirement Eligibility

TRS Eligible

Additional Retirement Information

For more information on retirement plan options, please visit https://hr.untsystem.edu/benefits/retirement-plans/index.php.

Salary Information

Commensurate with experience.

Department Summary

We are a diverse, interdisciplinary, and collaborative department. Our faculty comprises 14 members from 7 countries with expertise in: Earth Science & Modeling; Globalization, Development, & Cities; Human Systems & the Environment; and GIS & Remote Sensing. We are located in the Environmental Education, Science and Technology Building (EESAT) along with environmental scientists and environmental philosophers as well as the Elm Fork Education Center.

Position Overview

The Department of Geography and the Environment is seeking a full-time Research Assistant to support several funded projects directed by Dr. Wei Kang. The common theme of these projects is housing insecurity, housing policy, and neighborhood change. A variety of quantitative methods will be employed to address the research questions raised in the proposals.

Additional Posting Details

Minimum Qualifications

Bachelor’s Degree in related field.

Knowledge, Skills and Abilities

Strong mathematical and technical ability.
Strong analytical skills.
Working knowledge of relational databases.
Intermediate proficiency in Microsoft Office including Access and Excel.
Ability to quickly assimilate to specific software.
Ability to quickly assimilate how data sets impact related systems and functions

Preferred Qualifications

The candidate must possess a strong background in quantitative methods and data science and be comfortable working with survey data. Specific requirements include:

Obtained a master’s degree in Geography, Statistics, Economics, Political Science, Sociology, Data Science, or similar with a strong quantitative background (required)
Formal training in advanced regression modeling, including multilevel modeling OR demonstrated experience with advanced regression modeling (required)
Experience with R or Python for (spatial) data science (required)
Formal training in spatial statistics (required)

Required License / Registration / Certification

Work Schedule

40 hrs/wk.

Driving University Vehicle

No

Security Sensitive

This is a security sensitive position.

EEO Statement

The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.

Classification Title

Data Analyst

Physical Requirements

Sitting, Writing, Talk or Hear, Ability to communicate

Job Duties

o

Data wrangling, including cleaning, error checking, and variable (feature) generation, query, and linking a series of survey datasets at different levels (e.g., the American Community Survey (ACS) 5-year estimates, Census Household Pulse Survey (HPS) microdata)

o

Conducting spatial and statistical analysis of cleaned data, including multivariate regression modeling, multilevel modeling, propensity score analysis, etc.

o

Draft and collaborate on reports and publications based on the analysis results.

o

Draft and collaborate on grant applications.

o

Other duties as assigned.

Posting Detail Information

Posting Number

S7403P

Position End Date (if temporary)

Special Instructions to Applicants

This position is grant funded and will end at the end of June 2024.