Research as a graduate student

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Pursuing an MS degree in Mechanical Engineering with a focus on Heat and Mass Transfer raises important questions about research expectations and confidence levels among graduate students. Meeting progress deadlines set by professors can vary; while some deadlines are strict, others are more flexible, and open communication about expectations is crucial. Many students struggle with retaining all the knowledge from their undergraduate studies, especially in demanding programs. It's common for students to need to review material frequently, as few remember everything perfectly. Additionally, it's acknowledged that some level of annoyance may arise in the student-professor relationship over time, which is a normal aspect of long-term academic collaborations. Overall, graduate students are encouraged to communicate openly with their advisors and understand that challenges in retention and deadlines are common experiences.
Urmi Roy
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Hi,
I'm most probably going to opt for an MS degree in Mechanical Engineering with a specialization in Heat and Mass Transfer after a couple of months.

There are some questions that I have in regard to research as a graduate students, both MS and PhD.

1. Is it always possible to keep up with progress deadlines that are set by your professor? If not, then does the Professor usually get annoyed?

2. Now that I'm only just finishing off as an undergraduate, I don't really have much confidence in myself...undergraduate studies(esp in India) required learning a lot of different
things in little time...so I'm not sure if I really remember all the concepts very clearly, or if I can use the software that I learned somewhere in sophomore year as effectively...is this the case with all the students?
If so, is it likely for my professor to get annoyed with me?
 
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1. This depends on your supervisor, although "always" is a pretty tight criterion. In general, when selecting an advisor and when starting out, it's good to have a two-way conversation about expectations. As a student it can be difficult to estimate what you're capable of. As a professor it can be difficult to remember what it's like not to be aware of many things that seem obvious.

Something else to remember along these lines is that some deadlines are "hard" such as abstract submission dates for conferences, or the date you have to submit your thesis by to avoid paying fees for the following semester, while other deadlines are "soft" such as supervisory committee meetings or weekly progress updates.

2. In the history of all physicists everywhere there have only been three that managed to remember perfectly everything they learned during their undergraduate work. I do not know which three or even if this number is correct to within a few orders of magnitude, but I know that the number of physicists who have to constantly review the material they've learned is vastly greater than the number who remember it all instantly and perfectly.

3. At some point your supervisor is likely to be annoyed with you regardless of what you do. This is true of any relationship that lasts for 4-7 years.
 
Thanks for the info Choppy, it's comforting to know that things are probably not going to be as tight as I imagined :-)
 
Hey, I am Andreas from Germany. I am currently 35 years old and I want to relearn math and physics. This is not one of these regular questions when it comes to this matter. So... I am very realistic about it. I know that there are severe contraints when it comes to selfstudy compared to a regular school and/or university (structure, peers, teachers, learning groups, tests, access to papers and so on) . I will never get a job in this field and I will never be taken serious by "real"...
Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...

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