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Grant writing tips that actually helped you win funding (96)

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Starting 20 pts 0 followers
St. Aloysius College · Posted

I just finished my PhD defense last week (Computer Science, IIT Madras) and wanted to share some honest reflections while everything is still fresh.

What went well:

  • My advisor was supportive and gave me genuine intellectual freedom
  • The collaborative atmosphere in the lab made the isolation of research more bearable
  • The depth of knowledge I built in my area is something I am genuinely proud of

What was hard:

  • Years 2–3 were brutal. Two major paper rejections triggered serious self-doubt.
  • The PMRF stipend still does not cover Bangalore costs comfortably
  • The academic job market is brutal.I applied to 22 positions and got 3 interviews

Where I am now: Joining a research lab at Microsoft India. Not the faculty position I originally wanted, but I am honestly excited.

Happy to answer questions from PhD students or people considering the PhD path in India.

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5 Replies

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Farhan Mirza · Accepted answer

For Zotero vs BibTeX management, I moved to Zotero + Better BibTeX 3 years ago and have not looked back.

My workflow:

  1. Zotero browser connector captures papers instantly from ArXiv, Google Scholar, ACM DL, IEEE Xplore
  2. Better BibTeX generates a clean .bib file that auto-updates whenever I add a paper
  3. Overleaf directly pulls from the .bib file via Dropbox sync

One tip: create a Zotero collection per paper/project. When you export the .bib, export only that collection to keep it clean.

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Replying to Farhan Mirza
Royal Dsouza Starting 30 pts · Accepted answer

Strongly agree with the point about choosing venues carefully. One paper in NeurIPS > five papers in obscure workshops.

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Replying to Farhan Mirza
Chetan Jain Growing 100 pts · Accepted answer

Just to make sure I understand the Zotero workflow correctly.is the .bib file synced to Overleaf automatically every time you add a new paper, or do you need to trigger an export manually?

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Ekta Choudhary Starting 45 pts · Accepted answer

I have a slightly different take from my experience in industry research. The reproducibility crisis is real but unevenly distributed. Fields with strong engineering culture (computational biology, ML with benchmarks) have actually improved significantly in the last 5 years. The bigger problem is in fields where data sharing is structurally difficult.clinical medicine, behavioral economics.

The ML community's move toward open code and reproducibility checklists has been genuinely effective.

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Dinesh Kulkarni Distinguished 730 pts · Accepted answer

FDR (Benjamini-Hochberg) is widely accepted and preferable to Bonferroni when you have many tests and limited power. The key is to be explicit about which correction you used and why.

On replication: No independent cohort is a genuine limitation but not a dealbreaker for rare disease research, where cohort availability is a known constraint. Many high-quality papers acknowledge this and still get published in good journals. Frame it as future work.

Power analysis: Yes, report it. Showing you are aware of the limitation is better than not mentioning it.