AI for Good Research Lab: Internship Opportunities

Key Responsibilities

• Research and Analysis: Review existing literature and identify gaps in the state-of-the-art to formulate research questions.
• Experimental Design: Design experiments that apply cutting-edge research in machine intelligence and machine learning.
• Prototyping: Implement prototypes of scalable systems in AI applications.
• Collaboration: Collaborate closely with team members and potential external collaborators on developing systems from prototyping to production level.
• Tool Investigation: Under instruction from others, research new tools, technologies, and methods being used in the research community and contribute knowledge around a specialized tool/method to support planning for research projects.

Required Qualifications

• Must be currently enrolled in a PhD program in Computer Science or a related STEM field.
• Must have at least one additional quarter/semester of school remaining following the completion of the internship.
• Must have at least 2 years of experience with modeling in Python and at least 2 years of experience with deep learning models.
• Must be fluent in English (verbal and written).

Preferred Qualifications

• Experience with one or more general-purpose programming languages including: C/C++, Java, MATLAB or Python, ideally languages such as PyTorch, TensorFlow and other deep learning toolkits.
• Experience (classroom or work-related) in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Data Science, Privacy, etc.
• Experience with geospatial machine learning, foundation models, agentic AI, or low-resource language models (development and evaluation), applied to practical challenges in agriculture, biodiversity, public health, or disaster response, is a plus.