PhD Position in Decentralized Resource-Constrained Machine Learning, Switzerland

ETH Zurich is providing a great opportunity through the PhD Position in Decentralized Resource-Constrained Machine Learning in Switzerland. The opportunity is available to talented students for the academic year 2025-2026.

To be eligible for the PhD position at ETH Zurich, applicants must hold or be about to complete a master’s degree in Computer Science, Engineering, Mathematics, or a closely related field by September 1, 2025. They should have a strong academic record, proven experience in areas such as machine learning, distributed systems, or optimization, and solid programming skills, particularly in Python and PyTorch.

ETH Zurich –Swiss Federal Institute of Technology is one of the world’s leading universities for science, engineering, and technology. Located in Zurich, Switzerland, it is renowned for its cutting-edge research, innovation, and academic excellence. Established in 1855, ETH Zurich has produced numerous Nobel laureates and plays a key role in advancing knowledge in fields such as computer science, physics, and environmental science.
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Eligibility Criteria

  • Eligible Countries: All nationalities

  • Acceptable Course or Subjects: The scholarship will be awarded for a PhD in Decentralized Machine Learning, Distributed Systems, or related fields, aligned with the project scope in computer science, engineering, or mathematics.

  • Admissible Criteria: To be eligible, applicants must:

    • Hold or be about to obtain a Master’s degree in Computer Science, Engineering, Mathematics, or a related field by 1 September 2025.

    • Demonstrate strong academic performance with a solid Transcript of Records.

    • Show theoretical and practical experience in at least one of the following topics:

      • Federated/Deep/Split Learning, Neural Architecture Search, Online Algorithms, Resource-Constrained Networking, Optimization, etc.

    • Have proficiency in Python and experience with PyTorch or similar ML frameworks.

    • Exhibit strong English communication skills (written and oral) and collaboration aptitude.

    • Demonstrate previous experience in scientific writing and research workflows.

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Offered Benefits

  • Full-time, fully funded PhD position (100%)

  • Work in a highly stimulating academic environment at ETH Zurich, one of the world’s leading universities

  • Access to state-of-the-art research facilities and professional development support

  • Public transport season ticket, car sharing options, on-campus sports facilities, childcare support, and attractive pension benefits

  • Contribution to a sustainable and inclusive academic culture

  • Active participation in the eDIAMOND research project and freedom to develop an individual research profile.

Application Process

Interested candidates must submit their online application via the official ETH Job Portal. The application should include:

  • A short letter of motivation

  • A CV

  • Transcripts of Records for both Bachelor’s and Master’s degrees

  • Names and email addresses of three referees

  • Additional supporting documents (e.g., diplomas, project reports, publications, or thesis).

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