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PhD Peer Reviewer – Computer Science & Cybernetics

Fengkai Group Co., Limited

Remote · Temps partiel

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Expérience
N'importe lequel
Salaire
Ouvertures
1
Publié
il y a 1 semaine
Mode de travail
Travaillez à domicile
Éducation
PhD
Admissibilité
Candidates with a PhD or equivalent advanced degree in computer science, cybernetics, or a closely related subject area, and with recent SCI/SSCI publication experience, may apply.
CV
Candidature requise

Description de l'emploi

Role Overview

This is a stable, long-term part-time opportunity that can be performed remotely. The assignment involves reviewing academic manuscripts in the field of computer science and cybernetics and providing expert editorial feedback.

Candidate Profile

The role is suited to professionals with strong research credentials, advanced subject knowledge, and the ability to evaluate scholarly work with accuracy and fairness.

Requirements

  • You should hold a PhD or an equivalent advanced doctoral qualification in the relevant subject area.
  • A minimum of five papers published in SCI or SSCI journals over the last three years is required.
  • You need a solid grasp of research methods and ethical standards relevant to the discipline.
  • Strong analytical ability and sound critical judgment are essential.
  • You must be able to write clear, concise, and useful review comments.
  • Good time management is important so deadlines can be met consistently.
  • The work requires a careful, unbiased approach and strict confidentiality.
  • Previous experience reviewing papers for academic journals would be a strong advantage.
  • You should be comfortable using online systems for manuscript submission and peer review.

Key Duties

  • Judge whether a submission brings new ideas, findings, or value to the field.
  • Review the research design and methodology for suitability, completeness, and clarity.
  • Check whether the manuscript appropriately covers current and relevant literature.
  • Assess whether the findings and conclusions are clearly presented and well supported by the data.
  • Offer practical, constructive suggestions and identify any weaknesses, missing elements, or ethical issues.
  • Provide a recommendation that helps the editor decide whether the paper should be accepted, revised, or rejected.

Additional Information

This position is described as a long-term and stable part-time assignment. Remote working is supported. Applicants are asked to review the criteria carefully and complete the application form accurately.

Compensation

The pay details were not specified in the source.

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