Available Positions

Post-doctoral Research Associate

University of North Carolina-Chapel Hill

Employment Duration

2 years (starting as early as January 2021)

Application Due Date

Applications will be accepted until position is filled

Post-doctoral Associate [Update: Hiring for this position has been delayed due to the COVID-19 outbreak]

2-year post-doctoral associate position

Job Description

The Data-Driven EnviroLab headed by Prof. Angel Hsu is seeking a two-year post-doctoral research associate to contribute to a National Science Foundation-funded project that investigates the role of emerging technologies such as distributed ledger systems to climate change tracking and governance. The Data-Driven EnviroLab is an interdisciplinary group of researchers that applies cutting edge data analytics and quantitative approaches to environmental policy questions, from climate change to urbanization and energy. The post-doctoral associate will also have the opportunity to contribute to a range of the group’s other projects, building quantitative data analysis skills and contributing to ongoing real-world policy efforts and projects.

Requirements

– Applicants must have completed a PhD in a relevant field, such as computer science, data science, climate policy or science, quantitative policy analysis, political science, science and technology studies.

– Domain expertise in either emerging technologies like distributed ledger systems (i.e., blockchain), Internet governance, or climate change strongly desired. Candidates who have quantitative data analysis (R, Python) or programming skills also strongly desired.

To apply please send resume with a short letter of interest to angel.hsu(at)yale-nus.edu.sg. For full consideration please apply online at: http://unc.peopleadmin.com/postings/176393.

Research/Data Scientist

University of North Carolina-Chapel Hill

Employment Duration

1 year, with possibility of extension based on performance (starting as early as January 2021)

Application Due Date

Applications will be accepted until position is filled

Research/Data Scientist [Update: Hiring for this position has been delayed due to the COVID-19 outbreak]

1-year initially with possibility of extension

Job Description

The Data-Driven EnviroLab headed by Prof. Angel Hsu is seeking a full-time Research or Data Scientist to contribute to a range of the group’s research projects. The Data-Driven EnviroLab is an interdisciplinary group of researchers that applies cutting edge data analytics and quantitative approaches to environmental policy questions, from climate change to urbanization and energy. The Research or Data Scientist will have an opportunity to further quantitative skills, research and analytic writing in a fast-paced, dynamic environment that engages the real-world.

Requirements

– Applicants must have completed a B.S./M.S./PhD in a relevant quantitative field, such as geography, statistics, computer science, data science, climate policy or science, quantitative policy analysis, political science, or economics.

– Experience with statistical programming language is required; experience working in R is strongly preferred.

-Proficiency in at least two of the following languages/software: R, Python, JavaScript/HTML, GIS, bash, or others. Some of the skills past hires have utilized for our work include:

– Statistical analysis and data visualization in R

– Statistical analysis, data visualization, and web scraping in Python

– Presentation of data and research findings in attractive, web accessible visualizations (RShiny, Javascript/d3)

– Presentation of data and research in map-based formats (Tableau, CartoDB, Javascript/Leaflet)

– Website development (PHP/WordPress)

-Work on open-source geospatial calculation tools utilizing GIS (QGIS or ArcGIS) in a Bash environment utilizing command-line tools (GDAL/OGR/GRASS)

– Development and maintenance of database tools written in open source languages (PostgreSQL, SQLite, etc.)

To apply please send resume with a short letter of interest to amy.weinfurter(at)yale-nus.edu.sg. 

Student Research Associates – Graduate/Undergraduate

University of North Carolina-Chapel Hill

Employment Duration

1 year, with possibility of extension based on performance (starting as early as January 2021)

Application Due Date

Ongoing – we accept applications at any time for strong applicants 

Student Research Associate – Graduate/Undergraduate 

[Update: Hiring for this position has been delayed due to the COVID-19 outbreak]

1-year initially with possibility of extension

Job Description

The Data-Driven EnviroLab headed by Prof. Angel Hsu is looking for undergraduate and graduate student research assistants to contribute to a range of the group’s research projects. The Data-Driven EnviroLab is an interdisciplinary group of researchers that applies cutting edge data analytics and quantitative approaches to environmental policy questions, from climate change to urbanization and energy. Students will receive training in data-driven environmental policy research in a fast-paced, dynamic environment that engages the real-world.

Requirements

– Applicants must have completed a B.S./M.S./PhD in a relevant quantitative field, such as geography, statistics, computer science, data science, climate policy or science, quantitative policy analysis, political science, or economics.

– Experience with statistical programming language is required; experience working in R is strongly preferred.

-Proficiency in at least two of the following languages/software: R, Python, JavaScript/HTML, GIS, bash, or others. Some of the skills past hires have utilized for our work include:

– Statistical analysis and data visualization in R

– Statistical analysis, data visualization, and web scraping in Python

– Presentation of data and research findings in attractive, web accessible visualizations (RShiny, Javascript/d3)

– Presentation of data and research in map-based formats (Tableau, CartoDB, Javascript/Leaflet)

– Website development (PHP/WordPress)

-Work on open-source geospatial calculation tools utilizing GIS (QGIS or ArcGIS) in a Bash environment utilizing command-line tools (GDAL/OGR/GRASS)

– Development and maintenance of database tools written in open source languages (PostgreSQL, SQLite, etc.)

To apply please send resume with a short letter of interest to amy.weinfurter(at)yale-nus.edu.sg. 

css.php