I completed my MTech from NIT Trichy in 2022 and have been working in industry since then. I now want to apply for PhD programs, both in India (IISc, IITs) and abroad (ETH, CMU, UW).
Does a two-year industry gap hurt PhD applications significantly? I have:
Would love to hear from people who have successfully navigated this situation.
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The short answer: it depends heavily on the journal and field, but here is a general framework.
If your null result is well-powered and the hypothesis was reasonable: Absolutely publish it. Null results in well-designed studies are as valuable as positive results. Journals like PLOS ONE explicitly welcome them.
If your study is underpowered: Be transparent about it. Report effect sizes and confidence intervals, not just p-values. A small, underpowered study with honest reporting is still a contribution.
What kills papers is when limitations are obvious but the authors have not addressed them.
As a senior faculty member (25 years in the system), I want to offer a different perspective. Yes, the pressures are real. But I have also seen the other side: students who produce excellent work, publish honestly, and build reputations over time. The system is imperfect but not entirely broken.
What has actually helped my students: choosing venues carefully (a few strong papers rather than many weak ones), developing genuine collaborations rather than transactional coauthorships.
I am in a very similar situation. Would you be willing to share the outline of your PMRF proposal? Not the content.just the section headings and approximate word allocation.
+1 to everything said above. My experience was identical.
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.
This is a known issue with XLM-R on code-mixed data. The MuRIL preprint has a section specifically comparing these.
Much appreciated. I will restructure my proposal along these lines. The point about societal impact being substantive is something I would have gotten wrong.
The short answer: it depends heavily on the journal and field, but here is a general framework.
If your null result is well-powered and the hypothesis was reasonable: Absolutely publish it. Null results in well-designed studies are as valuable as positive results. Journals like PLOS ONE explicitly welcome them.
If your study is underpowered: Be transparent about it. Report effect sizes and confidence intervals, not just p-values. A small, underpowered study with honest reporting is still a contribution.
What kills papers is when limitations are obvious but the authors have not addressed them.
Respectfully, I think this framing misses the systemic dimension. Individual researchers cannot solve a collective action problem. If you submit to open-access journals and your colleague submits to Nature, your colleague gets the promotion. Until evaluation criteria change at the institutional level.which requires policy intervention.individual choices have minimal impact.
Thank you for the honest take. This is the kind of answer I was looking for.not the sanitized version.
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.
Open access is the right direction but the APCs are prohibitively expensive for many Indian researchers without institutional funding.
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?
Seconding the recommendation for Zotero. Game changer for managing references across multiple projects.
I have successfully received PMRF (lateral entry, second year). Happy to share what worked in my proposal.
On the research proposal:
On citations: Yes, cite your MTech thesis. Framing your PhD as an extension of prior work you did shows continuity of thought.
