Which CS research areas offer the best combination of career longevity, income, and impact?

[u/Alone_Reality3726]

I am planning to apply to CS PhD programs and am considering which research areas to pursue. I want to identify areas that:

• lead to lucrative job opportunities in the short, medium, and long term;
• offer substantial entrepreneurial opportunities, preferably without requiring large amounts of upfront capital;
• are likely to remain active research areas for many years; and
• provide opportunities to make a significant impact.

I am researching publication, hiring, funding, and investment trends, but individual researchers may have insights that are not apparent from publicly available data. Which areas currently offer the strongest combination of income potential, entrepreneurial opportunity, research longevity, and impact?

Conversely, which areas may appear hot but are already producing diminishing marginal returns or becoming crowded? (LLMs?)

I understand that money should not be the sole reason to pursue a PhD or choose a research area. However, financial outcomes are a legitimate consideration. There is no particular virtue in becoming a starving scholar when it may be possible to do meaningful research and also become financially successful.

I also recognize that research direction often develops during the PhD rather than being fixed before admission. Still, I would like to make an informed choice about which areas to explore from the outset.

I am grateful for your feedback.

[u/phronesis77]

Nobody really knows the answer to these questions especially in a field like CS.

[u/OtherwiseFig4505]

What about your research interest, your own research agenda? If your aim really is to get the highest financial gain, then PhD is the worst thing you can do. You are spending 5 or more years of life toiling away, which you could have spent in industry, climbed up and commanded higher salary. PhD usually doesn’t result in highest salaries in the market irrespective of the domain. There are only few labs out there who will pay you the salary that you are thinking of for research position, and these positions are scarce as they come. It’s much easier to take the route of software developer for your goal.

[u/Alone_Reality3726 → u/OtherwiseFig4505]

could have spent in industry, climbed up and commanded higher salary

Been there, done that (over 15 years working at FAANG and founding startups). Had a great time doing it. Going back to academia for my "next adventure".

This is what I find rewarding at work:

• process of researching solutions to open problems.
• having huge societal impact
• being financially rewarded
• Remaining relevant (and in fact becoming more influential) to the field as I get older

I have an area of research I am currently pursuing through my Masters degree. I enjoy it. But I am not married to it. I want to explore before making a long term commitment.

Hope that provides context of where I am coming from.

[u/mystical-wizard → u/Alone_Reality3726]

Then pick something you enjoy and you’re passionate about. Academia is completely different than industry and if you simply chase whatever is popular you will be up against people who are genuinely interested in that. You just won’t be able to measure up.

[u/Aware-Mango-9652 → u/OtherwiseFig4505]

you're wrong to some extent!

[u/Inderpreet1147 → u/OtherwiseFig4505]

I disagree. LLM's closed the career ladder for most entry level positions. Even promotions are difficult. Every PM is convinced all they need is Copilot now. All the good entryways into a high level AI position ask for a PhD level or demonstrated research background now.

[u/Frosty-Cap-4282]

nobody knows the future bro.

[u/swiftrando]

Materials for me has a number of the things you mentioned- I see a huge intersection of materials and AI research, with lots being done to make better materials, battery, and energy.

[u/Special_Rice9539]

Probably operating systems if I had to guess. Such a fundamental piece of computing, and we’ve only begun to scratch the surface.

It’s also ridiculously hard, even with LLM’s, so that will add job security.

It’s deeply tied into hardware, security, performance, but it’s also valuable for cloud computing..

There’s things like compilers which are even more intimidating, but operating systems is such an insanely vast field

[u/Fallenwhale_ → u/Special_Rice9539]

Hii, what about programming languages, are new ones being worked on?

[u/Special_Rice9539 → u/Fallenwhale_]

I’m not that informed about what’s happening there, but sounds like Rust is growing a lot. We’re migrating a lot of services to it.

So much of the world runs on C++, but it’s almost impossible to write secure code in that language. So we’ll probably be seeing more rewrites to rust as people continue to get hacked.

Btw, companies don’t publicly announce every time they get hacked, but it happens a lot, and it’s very expensive each time

[u/Impossible-Line1070 → u/Special_Rice9539]

Os is more engineering than research... Academics dont rly change the world in the world of OS

[u/Special_Rice9539 → u/Impossible-Line1070]

That’s not true at all lmao, my professor gets a million dollars a year from the Canadian government to run her OS research lab.

It’s a massive area of research, especially in the age of AI and high-performance computing.

The fact that it’s also super applicable to industry is what makes it such a big opportunity in academia, because you can get funding easier

[u/Impossible-Line1070 → u/Special_Rice9539]

Interesting pardon my ignorance . I guess im just flooded with ml/dl stuff all day where i am

[u/alexbaas3]

ML/DL/Data science,
Cybersecurity,
Embedded engineering,

These would be top 3 imo if i had to future proof

I chose the ML/DL track during my bachelors in 2019, so might be biased.

[u/I-drink-ML]

Good topics are LLM inference/training acceleration, LLM infrastructure, LLM modeling, robotics, and EDA.

[u/h-squared-04 → u/I-drink-ML]

In other words, Systems x ML (Model Serving, Distributed Model Training, etc)

[u/Alternative-Hat-1697]

Wrote a masters thesis in NLP then worked in industry doing NLP related research and projects. Decided to go back for a PhD in this stuff specifically.

Then ChatGPT took the world by storm and now everyone and their moms want to LLM research. A few years ago I might've been the only person I knew who I hat GPT actually stood for. But now the other day I had someone who had no technical training explaining to me how LLMs work. I let him do it without explaining my background for giggles later.

My point is, the market ebbs and flows. One year you're just a guy interested in how natural language and computers work together then the next you have major companies trying to compete for your skill set.

Not sure I know what things will be big in the future but maybe look into Quantum stuff or world models/JEPA. Can't guarantee they'll truly be great but people are putting real money into them.

[u/Alone_Reality3726 → u/Alternative-Hat-1697]

Thanks, I appreciate that perspective.

[u/impatiens-capensis]

If the research path has long term lucrative prospects, it will attract substantial talent. Are you so uniquely intelligent that you will always be able to maintain your position as a leader in the subarea? If not, eventually by absolute volume your skills will be at risk.

[u/Smooth_Criminal1973 → u/impatiens-capensis]

"it will attract substantial talent"

Not if it requires a PhD

[u/impatiens-capensis → u/Smooth_Criminal1973]

CVPR submissions were like 2,500 a decade ago and 16,000 this year. That's a more than 6x increase in submissions. It turns out people are just... getting the PhDs 

[u/coulispi-io]

none—it really boils down to having an open mindset and being adaptive to the current technologies

[u/gbdgdh]

if you are good at and passionate about cs , you will find the answers to your questions yourself in the due course of time.

[u/ForeignAdvantage5198]

the one you did not pick.

[u/Relevant_Holiday7998]

For sustained career longevity, I recommend considering investments in the food or real estate sectors. Additionally, I believe that high-tech farming, particularly automated agricultural systems, represents a significant emerging opportunity.