Applications Open: 2027–2028 Bloomberg Data Science Ph.D. Fellowship

[Daniel Preotiuc]

Bloomberg is pleased to announce the 2027-2028 edition of the Bloomberg Data Science Ph.D. Fellowship Program (https://www.techatbloomberg.com/bloomberg-data-science-ph-d-fellowship/), a premier initiative supporting outstanding Ph.D. students advancing the frontiers of data science, AI and their applications.

The Fellowship provides financial support and engagement opportunities for Ph.D. candidates whose innovative research has the potential to shape the future of data-driven technologies and methodologies.

Application deadline: September 25, 2026 (11:59 PM AoE)

Topics of interest for this edition include:
- Agentic AI, Tool Use, and Agent Infrastructure
- Agent Evaluation and LLM Judges
- Code Generation, Semantic Parsing, and Text-to-API
- Efficient Models, Distillation, and Inference
- Human-AI Collaboration, Data Annotation, and Data-Centric AI
- Information Retrieval, RAG, and Agentic Search
- Information Synthesis, Summarization, and Generation
- Knowledge Graphs, Structured and Neuro-symbolic Reasoning
- LLM Post-training, Domain Adaptation, Reasoning, and Alignment
- Multimodal Models and Document Intelligence
- Time-series Modeling, Forecasting, and AI for Finance
- Trustworthy, Responsible, and Secure AI

For program details, eligibility criteria, and application instructions, please visit our official fellowship website (https://www.techatbloomberg.com/bloomberg-data-science-ph-d-fellowship/). If you have questions that are not addressed on the website, please contact the committee at rd...@bloomberg.net.

We would appreciate it if you could redistribute this funding opportunity within your network.

Warm regards,
The Bloomberg Data Science Ph.D. Fellowship Committee