This repository provides a comprehensive, curated collection of resources aimed at promoting global equality in NLP/AI PhD admissions and careers. It serves as a centralized knowledge base for prospective and current PhD students, researchers, and academics, offering guidance on navigating the academic and professional landscape.

How It Works

The project functions as a living document, aggregating links to articles, guides, podcasts, and videos from established researchers and institutions. It structures information logically, guiding users through distinct stages of their academic and career journey, from initial PhD application to professorship and long-term research. The emphasis is on democratizing access to information that can significantly impact success, regardless of an individual's background or location.

Quick Start & Requirements

• Access the resources directly via the GitHub repository. No installation is required.
• Prerequisites: Internet access.
• Links:
  • Official ACL Year-Round Mentorship Program: https://acl-mentorship.github.io
  • NLP with Friends Online Seminar Series: [Seminar]

Highlighted Details

• Extensive coverage of PhD application processes, including advice on statements of purpose, recommendation letters, and school selection.
• Detailed guidance on succeeding during a PhD, such as paper reading, writing, and advisor meetings.
• Resources for post-PhD career paths in academia and industry, including job searching and negotiation.
• Specific advice tailored to the evolving NLP landscape, including navigating the era of Large Language Models (LLMs).

Maintenance & Community

• The repository is maintained by Zhijing Jin, a PhD student at Max Planck Institute & ETH, and co-organizer of the ACL Year-Round Mentorship Program.
• Open to contributions via GitHub Issues and Pull Requests.
• Updates are shared on Twitter: @ZhijingJin and @aclementorship.

Licensing & Compatibility

• The repository itself is hosted on GitHub, implying a permissive approach to content sharing. Specific licensing for the aggregated resources is not detailed but is assumed to follow the terms of the original sources.

Limitations & Caveats

The content is a curated list of external resources, and the quality and applicability of individual links may vary. While comprehensive, it does not offer direct mentorship or personalized advice, relying on the user to synthesize the information.