Springer Nature
Springer Nature
Springer Nature ir starptautisks akadēmiskais izdevējs un informācijas sniedzējs ar vairāk nekā 180 gadu pieredzi, apkalpojot pētniecības, veselības aprūpes, izglītības, uzņēmējdarbības un profesionālās kopienas. Tā izdevumu klāsts aptver zinātni, tehnoloģijas, medicīnu, uzņēmējdarbību un izglītību, nodrošinot pētniekiem, klīnicistiem, pedagogiem un citiem profesionāļiem piekļuvi grāmatām, žurnāliem, pētījumiem un atziņām. Uzņēmums izdod žurnālu Nature un citus ietekmīgus žurnālus, tostarp ievērojamu atvērtās piekļuves satura apjomu, un darbojas ar globālu darbinieku komandu birojos visā pasaulē.

Associate or Senior Editor, Machine Learning — Springer Nature, Shanghai Hybrid

Edit machine-learning research for Nature Communications, overseeing manuscript evaluation and peer review. Help shape journal strategy, develop scientific content, and build connections across the research community.

Apraksts

  • Review original research submissions in machine learning and adjacent disciplines.
  • Assess manuscripts for scientific rigor, originality, and fit for publication.
  • Oversee manuscript selection and peer review.
  • Provide timely editorial service in line with journal standards.
  • Maintain and improve publishing workflows and systems.
  • Work with authors and reviewers to uphold a rigorous, transparent review process.
  • Represent Nature Communications in the scientific community and connect with researchers and industry experts.
  • Help refine editorial policies, peer-review practices, and publishing processes.
  • Explain editorial decisions clearly and guide authors and reviewers through review.
  • Develop relationships with internal and external partners while balancing competing priorities.
  • Work with the Chief Editor on journal development and identify opportunities for growth.
  • Encourage strong submissions and commission reviews and special collections.
  • Attend conferences and meet research institutions to raise the journal’s profile.
  • Create scientific and academic content that highlights published research.
  • Share expertise and knowledge with the Nature Portfolio editorial team.

Prasības

  • PhD or equivalent in physics, mathematics, computer science, or a related area such as machine learning, computer vision, neural networks, natural language processing, agentic AI, algorithms, or statistical physics.
  • Machine-learning and computer-science experience is preferred, but not essential.
  • Postdoctoral research experience is preferred, but not essential.
  • Strong grasp of the subject’s fundamentals.
  • Passion for science and engineering, with broad curiosity about scientific research beyond your specialty.
  • Excellent communication and interpersonal abilities.
  • Fluent written and spoken English.
  • Ability to understand research context and implications across different areas of the discipline.
  • Willingness to travel and meet scientists internationally.
  • Editorial experience is not required; substantial editorial experience may support consideration for a Senior Editor role.
  • Application requires a CV, cover letter, preferred office location, and a separate 300–400-word discussion of a recent machine-learning development you find exciting.

Priekšrocības

  • Permanent, full-time employment.
  • Hybrid working arrangement.
  • Accommodations for disability, neurodivergence, and chronic conditions.

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