Picking PHD project - risk vs. reward

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Discussion Overview

The discussion revolves around the decision-making process for selecting a PhD project, specifically weighing the risks and rewards associated with two distinct projects in semiconductor research. The conversation touches on aspects such as project ownership, theoretical understanding, employment prospects, and personal career goals within the context of industry versus academia.

Discussion Character

  • Debate/contested
  • Exploratory
  • Conceptual clarification

Main Points Raised

  • One participant describes a high-risk project involving the development of a new measurement instrument for semiconductors, highlighting concerns about theoretical understanding, programming skills, and the uncertainty of results.
  • The same participant contrasts this with a low-risk project focused on data analysis and sample fabrication, noting the professor's industry connections and the availability of commercial equipment.
  • Another participant expresses a preference for the second project, questioning how the original poster categorizes "reward" in terms of publishing and skill acquisition.
  • Further discussion reveals that the original poster values learning to create tools over merely using them, expressing concern that the second project may limit this opportunity.
  • One participant suggests that the second project aligns better with the goal of securing a job in industry, based on the professor's track record.
  • The original poster reflects on the first professor's past group outcomes, indicating a mix of students entering both industry and academia, which adds complexity to their decision-making.

Areas of Agreement / Disagreement

Participants express differing opinions on the merits of the two projects, with some favoring the low-risk project for its industry connections and guaranteed results, while others emphasize the importance of personal interest and the desire to engage in more innovative work. No consensus is reached regarding which project is preferable.

Contextual Notes

The discussion reveals uncertainties regarding the applicability of skills learned in each project and the potential impact on future employment opportunities. Participants also highlight the subjective nature of risk and reward in the context of their personal career aspirations.

chill_factor
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I have 2 projects I'm considering. One is a very high risk project that I would be taking nearly full ownership over, where I would be building a new measurement instrument for characterization of a very hard to measure property in semiconductors. Cons: will probably be heavily managed by professor. Professor is new. I don't fully understand the theory behind the project and it is a lot of theory to take in. I don't know if I'm actually good enough at programming and electronics to handle it. Even if I work hard, results are not guaranteed. Materials used are not used in industry, characterization techniques used not in industry, making it risky for employment as well. Only employment value is selling transferrable skills.

Second project is a low risk project. The professor just received tenure and has a track record of placing students in industry. The equipment is commercially available except for some modifications, and most of the work will be in data analysis and sample fabrication. All the equipment is used in industry and has specific jobs lined up. Results are guaranteed if I work hard. I understand and like the theory behind his work. Cons: relatively routine work. mostly data analysis of results using known instrumentation. little real device fabrication or instrumentation involved, at most data analysis and modeling.
 
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Personally, the 2nd one involving data analysis and modelling sounds more interesting, but to each their own.

When you describe these two projects as "Low Risk" and "Low Reward", how are you categorizing reward? Publishing?
 
From the original post it sounds like your goals are getting a job in industry. If that is the case I'd say go for the second project with the professor that has been having people in his group to go industry.
 
X89codered89X said:
Personally, the 2nd one involving data analysis and modelling sounds more interesting, but to each their own.

When you describe these two projects as "Low Risk" and "Low Reward", how are you categorizing reward? Publishing?

Publishing is one measure of reward, and another is learning broadly applicable skills in programming and electronics. Mostly, my goal is to work as upstream as possible. I don't want to be just a tool user, I want to be a tool maker or at least learn about tool making. This may be unrealistic though, as getting the training to become a tool maker makes me less competitive for jobs as a tool user, and there's more jobs as tool users than as tool makers.

The second project has me analyzing data from commercial instrumentation that is used in 2 types of jobs in a single industry. That is why I don't want to do it as much; it has me as a tool user, rather than a tool maker.

Mororvia said:
From the original post it sounds like your goals are getting a job in industry. If that is the case I'd say go for the second project with the professor that has been having people in his group to go industry.

I looked up the 1st professor's old group which had a mixture of people going into industry and academia. It isn't as terrible as I thought. I guess I'll see from their personalities.
 

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