What to do with a PhD in material science?

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Discussion Overview

The discussion revolves around the career prospects for individuals with a PhD in computational material science, particularly regarding potential transitions into industry or other fields. Participants explore various job opportunities, skills needed, and the relevance of their academic background in the job market.

Discussion Character

  • Exploratory
  • Debate/contested
  • Technical explanation

Main Points Raised

  • Eric expresses uncertainty about career options after his postdoc in computational material science and questions the availability of opportunities for his profile.
  • Some participants suggest exploring jobs in industry, indicating that there may be positions available that align with his skills.
  • There is mention of multiscale problems in materials being a potentially lucrative area for research positions in national labs or private sectors.
  • One participant argues that developing minimal programming skills, particularly in C++, could open up numerous job opportunities in various industries, including finance and logistics.
  • Another participant challenges the assumption that computer science professionals are inherently better programmers, suggesting that there are many capable individuals from diverse backgrounds.
  • Concerns are raised about the competitive nature of programming jobs and the need for a large workforce to manage extensive codebases.
  • Eric expresses appreciation for the insights shared, indicating a shift in his perspective regarding his career options.

Areas of Agreement / Disagreement

Participants generally agree that there are opportunities available in industry for those with a background in computational material science, though there is no consensus on the best path forward or the specific nature of these opportunities.

Contextual Notes

Some limitations in the discussion include a lack of specific data on the job market for computational material science and varying opinions on the necessity of programming skills for success in industry roles.

aihaike
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Dear all,

I got a PhD in computational material science (classical Monte Carlo and molecular dynamics).
I'm doing a postdoc but I wonder if I will keep going that way for my next position.
I've no idea about what to do afterward if I decide to do something else.
I do not know if there are really opportunities for someone with my profile.
I have some computer and programming skills but people from computer science do a better job I figure.

Does someone have any experience with a somehow "reconversion" from my field?

Thanks in advance,

Eric.
 
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Isn't multiscale problems in materials a hot area? Can't you find a position in a national lab or private sector doing materials research?
 
Thanks,

I did not know those links ...
I'll have a look.
 
comp_math said:
Isn't multiscale problems in materials a hot area? Can't you find a position in a national lab or private sector doing materials research?
well the hot area the domain of biology ...
I'm actually thinking about going to that way.

Is there really "private sector doing materials research" ?
Thank you for your reply.
 
aihaike said:
I got a PhD in computational material science (classical Monte Carlo and molecular dynamics).

If you develop some minimal c++ skills, there are a lot of programming jobs in private industry. Wall Street, oil and gas industry, logistics.

I do not know if there are really opportunities for someone with my profile.

Tons of them. Start with www.dice.com[/url] and [url]www.efinancialcareers.com[/URL]

[QUOTE]I have some computer and programming skills but people from computer science do a better job I figure.[/QUOTE]

No.

1) Just because you are a literature Ph.D. or even a brilliant literature Ph.D. doesn't mean that you can write decent novels. There are lots of CS people that really can't program. There are lots of people that can, but the two skills are correlated less than one would think.

2) algorthimic code requires some special skills

3) Even with the above, you need lots of warm bodies. If you have 10 million lines of code to babysit that means thousands of programming jobs. If you have this massive giant spawling system, then one genius is not going to be able to deal with this no matter brilliant they are. You want a thousand geniuses. Now since you probably can't get or couldn't afford a thousand geniuses, you probably will have to settle for five or six geniuses and a thousand reasonably intelligent people. Which is where you come in...
 
Last edited by a moderator:
twofish-quant said:
If you develop some minimal c++ skills, there are a lot of programming jobs in private industry. Wall Street, oil and gas industry, logistics.



Tons of them. Start with www.dice.com[/url] and [url]www.efinancialcareers.com[/URL]



No.

1) Just because you are a literature Ph.D. or even a brilliant literature Ph.D. doesn't mean that you can write decent novels. There are lots of CS people that really can't program. There are lots of people that can, but the two skills are correlated less than one would think.

2) algorthimic code requires some special skills

3) Even with the above, you need lots of warm bodies. If you have 10 million lines of code to babysit that means thousands of programming jobs. If you have this massive giant spawling system, then one genius is not going to be able to deal with this no matter brilliant they are. You want a thousand geniuses. Now since you probably can't get or couldn't afford a thousand geniuses, you probably will have to settle for five or six geniuses and a thousand reasonably intelligent people. Which is where you come in...[/QUOTE]
Thanks for your answer,

I really did not see it like that.
That's an interesting point of view.
Does that mean the world is mine?
I'm happy to see that this topic attracts more people that I thought.
 
Last edited by a moderator:
aihaike said:
That's an interesting point of view.
Does that mean the world is mine?

Not really. It does mean that you are unlikely to be poor and unemployed.
 
twofish-quant said:
Not really. It does mean that you are unlikely to be poor and unemployed.
year, I was just kidding.
It's very helpful.
Thanks
 

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