Student Worker - Environmental Science Research Assistant
Number of Openings: 1
Purpose/Objective of the Role:
The Department of ENVS (Drs. Barbosa and Rowley) has a collaboration with The Data Lab (Dr. Abbasi) and DelCo (water utility company) to assist with a real-world analytics project on environmental modeling (climate and hydrology). This position places a strong emphasis on research specifically identifying modeling techniques and datasets to inform model-development in the context of utility management and resource optimization. The successful candidates will work independently to extract insights and build predictive models that could have tangible industry impact.
Key Responsibilities:
- Data Discovery & Research:
- Investigate potential data sources to determine the most suitable data for specific research problems related to water utility operations.
- Model Building:
- Design implement and validate predictive models using appropriate machine learning algorithms.
- Documentation:
- Clearly document all research methods data sources and results for future reference.
Qualifications/Skills:
- Education:
- Currently enrolled as an undergraduate major in the Department of ENVS.
- Coursework:
- Successful completion of ENVS 111 (required)
- GEOG 245 (preferred)
- Upper-level ENVS courses (or equivalent coursework/experience)
- Technical Skills:
- Experience with ArcPro and R is preferred.
- Soft Skills:
- Ability to work independently
- Manage time effectively
- Document work clearly
Potential Future Career Benefit:
- Industry Application:
- Apply theoretical knowledge to a live industry project with a water utility company bridging the gap between classroom learning and real-world application.
- End-to-End Data Science Skills:
- Gain proficiency in the full data lifecycle from data discovery and cleaning to feature selection and model building.
- Portfolio Building:
- Generate tangible results and research experience that can be discussed in future job interviews.
- Mentorship:
- Work directly with faculty to refine your technical and research methodologies.
NOTE:
Employment sponsorship is not available for this position. Applicants must be currently authorized to work in the United States.
Application Instructions:
Complete the ADP application by selecting Apply button and answer all questions.
Supervisor:Nathanael Rowley
Commitment: 3-5 hours per week
Term: Spring 2026 (temporary part-time position)
Student Worker - Environmental Science Research AssistantNumber of Openings: 1Purpose/Objective of the Role: The Department of ENVS (Drs. Barbosa and Rowley) has a collaboration with The Data Lab (Dr. Abbasi) and DelCo (water utility company) to assist with a real-world analytics project on environm...
Student Worker - Environmental Science Research Assistant
Number of Openings: 1
Purpose/Objective of the Role:
The Department of ENVS (Drs. Barbosa and Rowley) has a collaboration with The Data Lab (Dr. Abbasi) and DelCo (water utility company) to assist with a real-world analytics project on environmental modeling (climate and hydrology). This position places a strong emphasis on research specifically identifying modeling techniques and datasets to inform model-development in the context of utility management and resource optimization. The successful candidates will work independently to extract insights and build predictive models that could have tangible industry impact.
Key Responsibilities:
- Data Discovery & Research:
- Investigate potential data sources to determine the most suitable data for specific research problems related to water utility operations.
- Model Building:
- Design implement and validate predictive models using appropriate machine learning algorithms.
- Documentation:
- Clearly document all research methods data sources and results for future reference.
Qualifications/Skills:
- Education:
- Currently enrolled as an undergraduate major in the Department of ENVS.
- Coursework:
- Successful completion of ENVS 111 (required)
- GEOG 245 (preferred)
- Upper-level ENVS courses (or equivalent coursework/experience)
- Technical Skills:
- Experience with ArcPro and R is preferred.
- Soft Skills:
- Ability to work independently
- Manage time effectively
- Document work clearly
Potential Future Career Benefit:
- Industry Application:
- Apply theoretical knowledge to a live industry project with a water utility company bridging the gap between classroom learning and real-world application.
- End-to-End Data Science Skills:
- Gain proficiency in the full data lifecycle from data discovery and cleaning to feature selection and model building.
- Portfolio Building:
- Generate tangible results and research experience that can be discussed in future job interviews.
- Mentorship:
- Work directly with faculty to refine your technical and research methodologies.
NOTE:
Employment sponsorship is not available for this position. Applicants must be currently authorized to work in the United States.
Application Instructions:
Complete the ADP application by selecting Apply button and answer all questions.
Supervisor:Nathanael Rowley
Commitment: 3-5 hours per week
Term: Spring 2026 (temporary part-time position)
View more
View less