Associate or Senior Editor, Communications AI & Computing

About the role

We are currently seeking an Associate or Senior Editor with research experience in machine learning development, computational social sciences, computational neuroscience, and/or computational linguistics to join Communications AI & Computing (https://www.nature.com/commsaicomp/). Communications AI & Computing is a multidisciplinary open-access journal publishing high-quality research across computational sciences and AI. We champion rigorous, reproducible and reusable computational research that advance the field from fundamental algorithm developments to large-scale applications. The journal complements other Nature Portfolio titles including Nature Machine Intelligence, Nature Computational Science, Nature Communications, Scientific Reports, and the npj series. You will be responsible for selecting and developing manuscripts for publication and for promoting the journal's coverage of computer science research. For this role, we particularly welcome candidates whose research experience includes ML algorithm development, computational social sciences, computational neuroscience, and/or computational linguistics. Experience on AI ethics and human-machine interaction is welcome but not necessary: these are relevant topics for modern AI research and for developing responsible publishing policies and guidelines. This is a fulltime, permanent position, based in the Shanghai, Beijing, Berlin, Madrid, Pune, or New Delhi office under a hybrid working model. If you are excited by interdisciplinary computer science and AI research, enjoy working across methodological and topical boundaries, and wish to contribute to shaping publishing in this area, we encourage you to apply.

Responsibilities

• Making well-reasoned editorial decisions on submitted manuscripts in the light of expert advice, following the journal's editorial policy and standards.
• Contribute developing editorial policies and guidelines for research involving AI and computational sciences, with a focus on open science.
• Make accepted manuscripts accessible to a broad computer science readership by advising authors on titles, abstracts, introductions, and structure, as well as ensuring high overall reporting standards.
• Help recruit, support, and engage a team of external editors, guiding and assisting them with the tasks listed above and ensuring they understand and implement the journal's philosophy and policies.
• Commissioning various content including Reviews, Perspectives and Comment articles.
• Attend conferences and meetings and visit research institutions (in agreement with the Chief Editor) and report on these activities.
• Broadcast published works by curating and suggesting publications for press releases or Research Highlights.
• Contribute editorial content to special projects or collections as agreed with the Chief Editor.
• Experience, Skills & Qualifications:
• PhD level research experience in machine learning, including algorithm development, computational social science, computational neuroscience, and/or computational linguistics. A strength in AI ethics and human-machine interactio

Benefits

Additional Information

Job Title: Associate or Senior Editor, Communications AI & Computing Locations: Shanghai, Beijing, Pune, New Delhi, Berlin or Madrid (hybrid) Application deadline: June 19th, 2026 About Springer Nature Springer Nature is one of the leading publishers of research in the world. We publish the largest number of journals and books and are a pioneer in open research. Through our leading brands, trusted for more than 180 years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more information, please visit about.springernature.com and @SpringerNature. About The Brand Nature Portfolio's high-quality journals and services across the life, physical, chemical and applied sciences help move science and society forward. Nature Portfolio is home to the leading, international weekly journal of science, Nature - founded in 1869. It is also home to the Nature research and Nature Reviews journals, the leading open access multidisciplinary journal Nature Communications , and open access journals including Scientific Reports . Together, these journals publish some of the world's most significant scientific discoveries. Online, nature.com provides over nine million unique visitors per month with content, including news and comment from the Nature journal, and the leading scientific jobs board, Nature Careers. As part of Springer Nature, Nature Portfolio also offers a range of researcher services, including online and in-person training. For more information, please visit nature.com and follow @NaturePortfolio.

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