Part-Time Data Science & AI Research Assistant

University of North Dakota; Grand Forks (ND); On-site; USD 27,000 - 39,000; Part time

Job summary

University of North Dakota is seeking a graduate student to support EERC AI research within the Bakken CtC initiative. The role focuses on building Python-based workflows for data processing, visualization, and ML, using diverse datasets from well construction to production histories.

You will explore AI capabilities to accelerate discovery and decision support. The position emphasizes reproducing analyses, documenting methods, and working with multidisciplinary teams to translate complex data

Qualifications

• Enrolled in a graduate program (MS/PhD) in a quantitative field.
• Experience programming in Python for scientific computing or ML.
• Experience with scientific data-analysis libraries (NumPy, pandas, SciPy, scikit-learn).
• Foundational knowledge of statistics and data analysis.

Responsibilities

• Assist in acquiring, organizing, curating, integrating, and quality-controlling structured and unstructured datasets relevant to Bakken research and enhanced oil recovery (EOR).
• Develop reproducible Python-based workflows for data processing, exploratory data analysis, visualization, statistical analysis, and machine learning.
• Apply statistical and machine-learning techniques to identify patterns, relationships, clusters, anomalies, and predictive features within complex datasets.
• Integrate and analyze multimodal information, including tabular, time-series, geospatial, and unstructured data.
• Evaluate and develop AI methods (LLMs, multimodal AI) for data extraction, synthesis, analysis, and knowledge discovery.
• Collaborate with researchers to evaluate AI results against conventional methods and engineering principles.
• Document analytical methods, code, assumptions, provenance, and results in reports and visualizations.

Skills

Python programming

Data analysis

Education

MS/PhD student in data science or related field

Tools

NumPy

pandas

SciPy

scikit-learn

Job description

University of North Dakota is seeking a graduate student to support EERC AI research within the Bakken CtC initiative. The role focuses on building Python-based workflows for data processing, visualization, and ML, using diverse datasets from well construction to production histories.

You will explore AI capabilities to accelerate discovery and decision support. The position emphasizes reproducing analyses, documenting methods, and working with multidisciplinary teams to translate complex data