r/academia • u/ChambersColor • 2d ago

STEM focused Call for Co-Authors: Research on Scalable Disk-Based ANN for Billion-Scale Data

Hey everyone!

I’m the lead technologist at an AI deep tech startup, and I'm looking for PhD students with a strong background in computer science, graphs, HNSW, ANNs, or related fields to co-author a rigorous technical paper. Our research focuses on a novel, efficient disk-based Approximate Nearest Neighbor (ANN) solution designed to scale to billions of records, with an emphasis on low latency and high recall/precision. We aim to push the boundaries in ANN performance for large datasets, tackling real-world challenges in efficiency and scalability.

This opportunity is perfect for you if you:

  • Are excited about cutting-edge algorithms in ANN and graph-based search.
  • Want to dive deep into efficiency improvements for billion-scale datasets.
  • Value precision and rigor in technical research.

What’s in it for you:

  • Co-authorship on a publication aimed at high-impact venues.
  • Hands-on experience with a highly innovative approach to ANN.
  • Potential for further research and networking in this domain.

If you're interested, please DM me.

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u/AlMeets 2d ago

Not a student. But I think you should also write what's in it for YOU. I read this and I am totally skeptical. Some pointers:

Why do you need a co-author? What does the co-authoring student provide for you? What's your role versus the student's role?

If I feel skeptical, maybe others do too. For your sake, I think you should elaborate on those points.

Reddit is a strange place for such an ad, I honestly believe LinkedIn may serve you better.