Academic Collaboration

Pluralis Research
Melbourne, California
Workplace: RemoteFull timeFunction: Laboratory & Clinical OperationsSkills: ["Collaboration","Communication","Problem-solving","Teamwork","Open exchange of ideas"]

Invitation for established researchers to explore joint publications and research initiatives in decentralized AI. Focused on low-bandwidth model-parallel training, distributed ML, and protocol design, with opportunities for funding and PhD sponsorship. Open to faculty, postdocs, or PhD candidates to collaborate on publications, research exchanges, and interdisciplinary projects.

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Pluralis Research
Pluralis Research
1 year ago

Academic Collaboration

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Last checked: 18 hours agoStatus: Live

Job Summary

Invitation for established researchers to explore joint publications and research initiatives in decentralized AI. Focused on low-bandwidth model-parallel training, distributed ML, and protocol design, with opportunities for funding and PhD sponsorship. Open to faculty, postdocs, or PhD candidates to collaborate on publications, research exchanges, and interdisciplinary projects.
Location: Melbourne, California
Workplace: Remote
Employment Type: Full time
Job Function: Laboratory & Clinical Operations

Key Responsibilities

  • •Joint Publications: Co-author papers targeting top ML conferences and journals.
  • •Research Exchanges: Share insights and findings in areas of mutual interest.
  • •Access to Unique Infrastructure: Leverage our distributed training environment for novel experiments.
  • •Interdisciplinary Connections: Bridge ML research with distributed systems, economics, and protocol design.
  • •Potential for Funding: Research grants may be available for promising collaborative projects.

Key Requirements

  • •Active Researchers: Current faculty, postdocs, or PhD candidates actively publishing in relevant fields.
Experience:Academic researchDistributed MLML research
Skills:CollaborationCommunicationProblem-solvingTeamworkOpen exchange of ideas
Tech Stack:Distributed MLModel parallelismFederated learningProtocol design

Company Brief

Pluralis Research
Develops Protocol Learning for decentralized, multi‑participant training of foundation models so models remain unmaterialized and community‑owned, enabling open-source large‑scale AI without single‑party control.
Industry: AI & Machine Learning
Company Size: Micro (1 to 10 employees)
Growth: Early Stage Startup
Funding: Seed
Founded: 2024
Glassdoor
Glassdoor: 4.0
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