Associate or Senior Editor – Machine Learning at Nature Communications

About the role

The Associate/Senior Editor will manage machine‑learning manuscripts for Nature Communications, evaluating scientific quality, novelty and suitability for publication. This hybrid, full‑time position is based in Shanghai (or other listed offices) and offers a career path for researchers who want to move beyond bench work.

Key responsibilities

• Handle original research manuscripts, assess quality and novelty, and manage peer‑review processes.
• Optimize publishing workflows to ensure efficient manuscript processing and timely decisions.
• Collaborate with authors, reviewers and internal teams to maintain rigorous, transparent review standards.
• Represent the journal in the scientific community, attend conferences and engage with researchers to attract high‑quality submissions.
• Contribute to editorial policy development and continuous improvement of peer‑review practices.

Required profile

• PhD (or equivalent) in physics, mathematics, computer science or a related field.
• Strong understanding of machine‑learning concepts and related disciplines.
• Excellent written and spoken English communication skills.
• Willingness to travel internationally to meet scientists and promote the journal.
• Passion for science and engineering with a broad interest across related research areas.

Required skills

• Machine learning
• Computer vision
• Neural networks
• Natural language processing
• Agentic AI
• Algorithms
• Statistical physics