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Springer Nature

Associate or Senior Editor, Communications AI – Computing

Springer Nature

. Make well-reasoned editorial decisions on submitted manuscripts using expert advice and journal policies .

Posted 10/28/2026full-timeShanghai • ChinaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in editorial decision-making and policy development within AI and computational sciences, with strong communication skills and a commitment to promoting open science.

Highest-signal resume keywords
PhD Level Research ExperienceMachine LearningEditorial ExperienceExcellent Communication SkillsFluency in English

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Algorithm DevelopmentComputational Social ScienceComputational NeuroscienceComputational LinguisticsResearch AssessmentEditorial Decision-MakingPolicy DevelopmentScientific Reporting StandardsContent CommissioningResearch Promotion
Soft Skills
Interpersonal SkillsPassion for ScienceDesire to Learn
Industry Keywords
Open ScienceAI EthicsResearch InstitutionsScientific ResearchEditorial PoliciesConference ReportingResearch HighlightsSpecial Projects

About the role

Key responsibilities & impact
  • Make well-reasoned editorial decisions on submitted manuscripts using expert advice and journal policies
  • Contribute to editorial policies and guidelines for AI and computational sciences, focusing on open science
  • Advise authors on titles, abstracts, introductions, structure, and reporting standards
  • Recruit, support, and engage external editors
  • Commission Reviews, Perspectives, and Comment articles
  • Attend conferences and meetings and visit research institutions
  • Report on conference, meeting, and institutional visit activities
  • Promote published works through press releases or Research Highlights
  • Contribute editorial content to special projects or collections

Requirements

What you’ll need
  • PhD level research experience in machine learning, including algorithm development, computational social science, computational neuroscience, and/or computational linguistics
  • Candidates from other AI-related disciplines, especially with clear ethical and policy relevance, are welcome
  • Ability to read and assess the novelty, context, and implications of research from different disciplines
  • Excellent communication and interpersonal skills
  • Fluency in English, written and spoken
  • Passion for science and desire to learn more
  • Breadth of interest in scientific research within and beyond specialty
  • Editorial experience, postdoctoral experience, and broad training are advantageous but not essential
  • Must upload a brief cover letter, CV, and a brief outline of no more than 300 words about an exciting development in AI or computational science
  • Do not use AI to enhance the writing of the 300-word outline

Benefits

Comp & perks
  • Hybrid working model
  • Permanent position
  • Disability, neurodivergence and chronic condition accommodations
  • Inclusion and diversity-focused work environment