Intern Researcher - Large Model and dataset governance

• Conduct research and develop tools towards creating AI and Dataset BOMs for representing Foundation model-based software and traditional AI software
• Conduct research and develop tools for analyzing dataset license compliance, provenance and lineage analysis
• Work closely with open source projects like SPDX and openDataology and make regular contributions.
• Research, design and implement automated dataset provenance and lineage analysis tools.
• Contributing to the publish of research papers in top-tier SE and AI venues (e.g. ICSE, FSE, ASE, TSE, TOSEM, ICLR, ICML, NeurIPS) and high-impact intellectual properties (e.g., patents)

What you’ll bring to the team:

• Currently enrolled in Masters or Ph.D. degree in Computer Science, Electrical and Computer Engineering, Communications, Statistics, Applied Mathematics, or a related field
• Experience conducting research in any one of the following areas of software engineering, software engineering for AI and AI for software engineering, software analytics, Open source licensing
• Experienced in developing software and conducting data analysis with python/R.
• Experience and understanding of end to end development of AI/ML models
• Published papers in top tier software engineering conference and journals is a plus (e.g.,ICSE, FSE, ASE, TSE, TOSEM, EMSE)
• Experience of having worked with open sources communities is a plus (but not required)
• Excellent communication and presentation skills, willingness to collaborate