Math, physics, and computer science

In summary, if you want to do research in academia, research labs, or industry, it is important to be comfortable with ambiguity and also be willing to start from scratch. The process of making the problem absolutely clear is important.
  • #1
Julio R
51
1
Basically I want to know what the prospects and job conditions of doing research in these three field in academia,research labs, and industry are. And also what grad school work and research is usually like.
 
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  • #2
Hey Julio R and welcome to the forums.

In terms of research in general, you have to ask yourself whether you like the prospect of whether you are comfortable (at least initially) in being totally clue-less about not only solving a problem, but also what you even need to begin to clarify what the real problem is and how you can approach it.

If you are OK with this then it will be a good attribute for research no matter what field you are in.

Remember the word is re-search, and the constant re - "searching" is as the title implies.
 
  • #3
So in general terms is research similar to solving a problem that you are not aware of? Or is it a known problem that you just don't know how to start working on?
 
  • #4
It may involve both depending on the problem.

If you are working on an existing known problem then that is one thing, but if you are working on something that isn't really as specific, then part of the research will be to make your own problem in your own mind a lot more specific.

This needs to be done for any problem you have and the simple act of making the problem absolutely crystal clear (especially in a few contexts) is one of the critical things in solving a problem.

Think about situations that start out as largely informal ("I wonder if I can find a way to make this more efficient") and then slowly they become very formal ("How can I minimize this value of lambda given these specific constraints assuming a global bounded error under assumptions 1, 2, 3...")

This is especially significant in big problems when you have a good informal idea of what you want but don't have enough technical experience to make it clear.
 
  • #5


The prospects for research in math, physics, and computer science are very promising in all three fields. These are highly interdisciplinary areas that are constantly evolving and have a wide range of applications in various industries. In academia, there is a strong demand for researchers in these fields, as universities and research institutions are always seeking to expand their knowledge and understanding in these areas.

In research labs, there are also many opportunities for scientists in math, physics, and computer science to work on cutting-edge projects and collaborate with other researchers. This can lead to exciting discoveries and advancements in these fields. In terms of job conditions, the work in research labs can be fast-paced and demanding, but also highly rewarding.

In industry, there is a high demand for professionals with expertise in math, physics, and computer science. These fields are essential for many industries, such as technology, finance, and engineering. The job conditions in industry may vary, but typically involve working on projects with specific goals and deadlines.

Graduate school work and research in these fields can be rigorous and challenging, but also incredibly stimulating and fulfilling. Students will have the opportunity to work closely with experienced researchers, conduct experiments, and publish their findings. The research itself can involve a combination of theoretical work, computer simulations, and experimental work, depending on the specific field and project.

Overall, the prospects for research in math, physics, and computer science are very promising, with a wide range of opportunities in academia, research labs, and industry. The work in these fields is constantly evolving and offers a dynamic and exciting environment for scientists to pursue their interests and make significant contributions to their respective fields.
 

1. What is the difference between math, physics, and computer science?

Math is the study of numbers, quantities, and shapes. Physics is the study of matter, energy, and their interactions. Computer science is the study of computers and computational systems. While they may overlap in some areas, each field has its own specific focus and methods.

2. How are math, physics, and computer science related?

Math is the foundation for both physics and computer science. Many concepts in physics can be described and understood through mathematical equations. Similarly, computer science heavily relies on math for algorithms and problem-solving. Additionally, physics and computer science both use mathematical modeling to explain and predict real-world phenomena.

3. What career opportunities are available in math, physics, and computer science?

There are a wide range of career opportunities available in math, physics, and computer science. Some common careers include mathematician, physicist, software engineer, data analyst, and computer programmer. These fields are also in high demand in industries such as finance, technology, and research.

4. Do you need to be a genius to study math, physics, or computer science?

No, you do not need to be a genius to study these fields. While some individuals may have a natural aptitude for these subjects, hard work, dedication, and critical thinking skills are more important for success. With proper instruction and practice, anyone can learn and excel in math, physics, and computer science.

5. How can I improve my understanding of math, physics, and computer science?

There are many ways to improve your understanding in these fields. Some suggestions include actively engaging in class, seeking help from teachers or tutors, practicing problems regularly, and exploring real-world applications. Additionally, staying up-to-date with current research and developments can also expand your knowledge in these areas.

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