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Huawei Research Center Germany & Austria
3mo ago

PhD Student: Confidential LLM Systems / Confidential Disaggregated Architectures(m/w/x)

München
Full-timeOn-site
AI/ML

Description

As a PhD student, you will engage in cutting-edge research on confidential LLM systems and disaggregated architectures, addressing significant security challenges while collaborating with global research teams and striving for impactful industry applications.

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Requirements

  • •MSc degree in computer science or equivalent
  • •Proficiency in English
  • •Strong teamwork abilities
  • •Proven programming skills
  • •Expertise in security and operating systems
  • •Master in computer science or related disciplines
  • •Experience with systems programming using C/C++ or Rust
  • •Low-level programming using Assembly
  • •Knowledge of operating systems, distributed systems, serverless, and confidential computing technologies
  • •Knowledge of TEEs (Intel SGX/TDX, AMD SEV SNP, and ARM CCA)
  • •Familiarity with git/gitlab, docker, K8S
  • •Fluency in written and spoken English

Education

Master's degree

Tasks

  • •Tackle research challenges in system and security
  • •Explore confidential Machine Learning and LLMs
  • •Investigate confidential disaggregated architectures
  • •Develop techniques for confidential LLM computations
  • •Address data privacy challenges in untrusted infrastructures
  • •Extend security guarantees to disaggregated devices
  • •Achieve robust isolation and large-scale attestation
  • •Collaborate with international research groups
  • •Publish research in top-tier conferences
  • •Create research prototypes for industry adoption

Tools & Technologies

C/C++RustAssemblygit/gitlabdockerK8S

Languages

English – Business Fluent

Benefits

Free or Subsidized Food

  • •Healthy meals in company canteen

Learning & Development

  • •Broad range of training opportunities
  • •Language courses in German and Mandarin

Diverse Work

  • •Diverse and welcoming environment

Purpose-Driven Work

  • •Self-responsible work
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