Fengkai Group Co., Limited
PHD Peer Review Need– Water Resource Engineering
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
**Doctor in Academic Peer Review – Long-Term Part-Time, Remote Role
A stable long-term position supporting remote work. Please review requirements below carefully and complete the application form accurately.
Role Overview
This position involves peer reviewing academic manuscripts for SCI/SSCI-indexed journals, providing input on scientific rigor, methodology, and significance to aid the editor’s publication decision.
Essential Requirements
Qualifications & Experience
- Holding a PhD (or equivalent advanced degree) in the relevant scientific discipline.
- Publication track record: at least 5 SCI/SSCI-indexed papers within the past 3 years.
- In-depth understanding of research methodologies and ethical principles within your field.
Core Competencies
- Analytical capabilities: Ability to critically evaluate study design, data interpretation, and claims.
- Strong written communication: Deliver clear, concise, and constructive feedback on manuscripts.
- Deadline focus: Exceptional time management and commitment to consistent quality work.
- Professional integrity: Demonstrated ability to uphold confidentiality and objectivity in evaluations.
- Technical familiarity: Experience navigating online manuscript submission/review systems (e.g., ScholarOne,áilaka equivalent).
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Preferred Plus
- Prior experience as an academic peer reviewer for SCI/SSCI journals.
- Hands-on expertise with statistical analysis, coding (R/Python/Stata), or methodologies relevant to targeted journal submissions.
Key Responsibilities
Core Tasks
- Assess Novelty: Determine whether the manuscript introduces new and meaningful contributions to the field or replicates existing findings.
- Evaluate Study Design:
- Review appropriateness, scientific rigor, and reproducibility of methods.
- Confirm rigor in results interpretation and statistical analysis (where applicable).
- Literature Integration:
- Ensure review of relevant prior work in methodology, theory, or opposing viewpoints is fair, comprehensive, and cited properly.
- Appraise Results & Conclusions:
- Validate strength of evidence supporting the paper’s central claims.
- Assess whether conclusions hold coherence with presented data (avoid overstating or oversimplifying).
- Develop Feedback:
- Offer structured suggestions for revisions, including language, clarity, or experimental details.
- Flag ethical concerns (e.g., duplicate images, conflicts of interest, incomplete disclosures).
- Support Editorial Decisions:
- Prepare a detailed, evidence-based review report for journal editors to inform acceptance, revision requests, or rejection.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Additional Notes
- Evaluations should be based on scientific merit (not artistic preference or personal bias).
- Sensitivity to Diversity, equity, and inclusion (DEI) in research.
- Optional but encouraged: Contribute questions/observations that deepen the expertise of fellow reviewers or authors.
Commitments
- Exclusivity: Review assignments selected by the journal’s positioning in your specialty (no self-submission limit mزالاون).
- Punctuality: Uphold tight turnarounds (~2-4 weeks per manuscript, depending on complexity).
- Norms: Follow standard pay-for-review or volunteer frameworks per journal Schena’s terms—but not earning scalable.
International candidates welcome. Focus on your calibration of substance-level feedback, NOT tech stacks. Prior? List your disciplines and exemplars.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location