PhD for Computational Scientific Study

My current research applies neural-network models to computational research, and I want to elevate it to a publishable, high-impact journal submission. The technical groundwork is in place—data collected, models built in PyTorch—but I need a seasoned, PhD-level mind to refine the methodology, strengthen the theoretical framing, and share full co-authorship on all resulting publications.

Requirements:
• PhD in CS/AI or computational physics/chemistry/biology, Bioinformatics, statistics, or similar fields.
• Must have a professional standing to act as my referee in future academic or industry applications.
• Established record of prior publications.

----- Money is not a motivation in this project -----

Responsibilities:
You would collaborate with me on each stage of the writing cycle: sharpening the literature review, validating the experimental design, running supplementary analyses, and polishing the final text to meet journal standards in computational biology and AI. Because I’m planning a series of follow-up studies, I’m looking for a long-term scholarly partnership.

Key deliverables:
• Revised and annotated model code with reproducible results.
• Co-written manuscript ready for peer review (LaTeX or Word format).
• Response letters for reviewer comments, if needed.
• Formal reference letter once our collaboration is established.