Research Stage
·I am done with learning…I am not done. I still think learning new topics is important but I have to focus on something else than learning and ideas. and that is being rigorous on a topic. Read, write and think about a topic rigorously and ask questions. I remember that paper on latent disentanglement by rishabh parihar. It was so rigorous. It feels like he just did and did experiments.
Instead of being perfect in work, I have to be doing more and more work instead of getting ideas.
I think this is the most important answers from chatgpt for a newbie as a researcher.
Question :
I am in 2nd year of phd I have learnt many things like how to read a paper how to find problems pattern recognition and learning new concepts….but i am still not getting confidence there are two thing i want to ask……first how the journey of other phd student like what are the steps in a phd journey where iam in those steps….and how can i improve myself in research like what shouldI do next becasue i have learnt that i cant rely on ideas all the time in research
Answer :
This is such a thoughtful question 👏 — it shows you’re reflecting critically, which itself is a sign of growth as a researcher. Let me break this down into two parts:
1. PhD Journey – Common Stages
Every PhD is unique, but many students go through broadly similar phases:
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Orientation / Survival (Year 1)
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Learning how to read papers efficiently.
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Understanding your field and the “big problems.”
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Feeling lost is normal — everything feels too broad.
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Consolidation (Year 2) ← you are here
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You’ve learned methods, tools, how to scan papers, identify gaps.
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Now comes the hardest transition: from being a learner to a creator.
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Confidence dips here because you realize: “I know enough to see how much I don’t know.”
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Most students underestimate themselves at this point.
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Direction / First Contributions (Years 2–3)
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You carve out a niche problem.
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You write your first serious paper(s).
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This is where persistence beats inspiration — not every idea works, but persistence yields results.
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Expansion (Years 3–4)
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You have a research identity.
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You branch out — combine methods, extend theories, collaborate.
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Wrapping Up (Final Year)
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Tie together your thesis story.
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Publish your strongest contributions.
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Think about your “next chapter” (postdoc, industry, etc.).
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2. How to Improve Yourself in Research (Next Steps for You)
Since you’re in Year 2, here’s what matters most now:
🔎 A. Shift from “learning” → “doing”
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You don’t need to know everything to start producing.
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Pick one well-scoped problem (even if small!) and aim to solve it with rigor.
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Example: Instead of “robust audio-visual learning,” narrow to “how audio helps recover corrupted video features in sign language recognition.”
📚 B. Use papers differently
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Early on: you read to understand.
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Now: read to position your work.
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Where exactly is the gap?
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Who would care about the answer?
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🛠️ C. Build habits of iteration
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Research isn’t about having brilliant ideas all the time.
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It’s about iterating small ideas, running experiments, and refining.
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1% improvements compound.
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Even “failed” experiments can become a section of your paper (“we tried X, it failed, so we did Y”).
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💡 D. Work on confidence actively
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Confidence doesn’t come before results — it comes from small results.
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Set mini-milestones:
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Reproduce a paper.
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Run a baseline on your dataset.
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Write a short workshop paper (lower pressure than a top-tier conference).
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🤝 E. Don’t do it alone
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Talk with your advisor, peers, even on forums.
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Explaining your work to others is the fastest way to clarify your own thinking.
3. Ideas vs Process
You’re right — you cannot rely on “grand ideas” all the time.
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Good research is 90% persistence, 10% inspiration.
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The process:
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Start with a small, concrete question.
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Test it rigorously.
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Share it, get feedback, refine.
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That process itself generates new ideas — one solved problem reveals another.
✅ So where are you?
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You’ve already mastered reading, recognizing patterns, and learning concepts.
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You’re at the transitional step: from consuming knowledge to producing small, testable contributions.
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The next big leap is: pick one narrow problem and start building + writing.