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Distinguished 950 pts 0 followers
National Institute of Technology Karnataka · Posted
Economics Renewable Energy Genomics & Bioinformatics

The honest answer to 'is a PhD worth it in India in 2025'

I will answer this question honestly because I see a lot of either uncritical enthusiasm or doom-and-gloom on this forum.

A PhD is worth it if:

  • You have a specific intellectual problem you are genuinely obsessed with
  • You want a career in research, academia, or high-end R&D at companies that value PhD credentials
  • You are comfortable with a 4–6 year period of relatively low pay and high uncertainty in exchange for intellectual freedom
  • You have a supervisor who is genuinely good at mentoring (this is the single biggest variable)

A PhD is probably not worth it if:

  • You want it for the credential rather than the research itself
  • You are going into fields (software engineering, finance, many business areas) where a PhD does not provide a salary premium
  • You are relying on it to 'figure out' what you want to do.that is what a master's degree is for

The Indian academic job market is brutal. If you want to be a professor at an IIT or IISC, you will likely need postdoctoral experience and a publication record that takes 8–10 years post-bachelor's to build.

But if research is genuinely what you want to do.it is absolutely worth it.

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16 Replies

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Geeta Rao · Accepted answer

Seconding the recommendation for Zotero. Game changer for managing references across multiple projects.

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Replying to Geeta Rao
Om Prakash Growing 55 pts · Accepted answer

Check whether your institution has a Springer/Elsevier waiver agreement.many NITs and IITs do.

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Replying to Geeta Rao
Bhavana Reddy Starting 30 pts · Accepted answer

I found that writing a paper abstract first (before the paper) and then reverse-engineering the paper from the abstract helped with clarity enormously.

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Replying to Geeta Rao
Amit Joshi Starting 15 pts · Accepted answer

Marking this as the accepted answer. Incredibly helpful and specific. Really appreciate you taking the time.

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Ashwin Murthy Distinguished 560 pts · Accepted answer

Thank you for this detailed answer! A quick follow-up: when you mention cosine learning rate with warm-up, are you warming up the LoRA parameters specifically or the entire model including the frozen backbone?

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Asha Pillai Distinguished 880 pts · Accepted answer

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.

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Replying to Asha Pillai
Tara Singh Starting 5 pts · Accepted answer

This question comes up a lot. The answer really depends on your specific field and what your committee values.

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Replying to Asha Pillai
Divya Krishnan Growing 85 pts · Accepted answer

Overleaf + GitHub integration is underrated. You get version control and collaboration in one place.

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Replying to Asha Pillai
Sowmya Narayanan Active 310 pts · Accepted answer

Much appreciated. I will restructure my proposal along these lines. The point about societal impact being substantive is something I would have gotten wrong.

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Bhavana Reddy Starting 30 pts · Accepted answer

This is a known issue with XLM-R on code-mixed data. The MuRIL preprint has a section specifically comparing these.

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Fatima Sheikh Growing 95 pts · Accepted answer

This is exactly what I needed to hear. One clarifying question: you mentioned FedProx handles non-IID data better.does that mean I should switch to FedProx by default, or only if I observe poor convergence with FedAvg first?

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Tara Singh Starting 5 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.

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Rajesh Kumar · 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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Replying to Rajesh Kumar
Fatima Sheikh Growing 95 pts · Accepted answer

Overleaf + GitHub integration is underrated. You get version control and collaboration in one place.

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Replying to Rajesh Kumar
Shiva Prasad Active 480 pts · Accepted answer

Highly recommend checking out the PMRF portal for the actual numbers.they update the stipend structure annually.

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Uday Bose Starting 5 pts · Accepted answer

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