Computational Physicst prospects?

In summary, there are various fields in industry that prefer computational physicists, such as quantitative finance, algorithmic trading, data science, computational neuroscience, and artificial intelligence. However, due to the increasing number of candidates with specialized training in these fields, it may be more competitive for computational physicists to find jobs outside of academia. Those with experience in numerical analysis and high performance scientific computing may have an advantage, but it is important to also have specialized knowledge in a specific field to make a general degree in computational physics more useful. Some resources for job opportunities in computational physics include Physics Today, Indeed, and LinkedIn.
  • #1
malignant
42
1
I'm wondering what kind of work a computational physicist does outside of academia with, let's say, a masters degree. Looking at internships, it seems like the degree is overly general and in most cases a computer science, engineer, business, or math major could do better unless I happen to have a substantial amount of experience in one of the fields. And from what I'm gathering, the more specialized, the better, making a general field less useful.

Are there any good paying fields in industry that would prefer a computational physicist? I'm assuming the numerical analysis and high performance scientific computing experience would be advantageous but I'm not sure where.
 
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  • #3
I think computational physics was once a good option. But the sectors that would be hiring you can also choose from candidates who have been trained to develop code for sector specific applications.

For example, there's now a branch call financial engineering and computational finance. The sector used to hire physicists, and they still might, but financial engineers are specifically trained in various computational techniques.

Same story for mech, EE, semi-cond. Once upon a time, since so few people were qualified for such jobs, physicists were taken on b/c they could do it. Now that schools are churning out people specially trained for these jobs, physicists are no longer as competitive.
 
  • #4
Congrats, your job prospects will be better than other physics graduates. You can check out these fields:
  • Quantitative finance
  • Algorithmic trading
  • Data science
  • Computational neuroscience
  • Artificial intelligence (e.g. IBM Watson)
 
  • #5


As a computational physicist myself, I can understand your concerns about the job prospects in this field outside of academia. While it is true that a master's degree in computational physics may not be as specialized as other degrees, it does provide a unique skill set that can be valuable in various industries.

One of the main areas where computational physicists are in demand is in the field of data science. With your background in numerical analysis and high performance computing, you have the skills to analyze large datasets and develop complex algorithms to solve problems in industries such as finance, healthcare, and technology.

Additionally, computational physicists are also sought after in industries such as aerospace, defense, and energy, where they can apply their knowledge of computational modeling and simulation to optimize designs and processes.

It is also worth mentioning that having a degree in computational physics can set you apart from other candidates in fields such as computer science or mathematics, as you have a strong foundation in both theory and programming.

In terms of pay, it really depends on the specific job and industry. However, with the demand for computational skills increasing in various industries, the salary prospects for computational physicists are generally competitive.

In conclusion, while a master's degree in computational physics may not be as specialized as other degrees, it does provide a unique skill set that can be valuable in various industries. With the increasing demand for computational skills, there are definitely good paying fields in industry that would prefer a computational physicist. It may just require some research and networking to find the right opportunities for your specific skill set.
 

Related to Computational Physicst prospects?

What is computational physics and what are its main applications?

Computational physics is a branch of physics that uses computer algorithms and simulations to solve complex physical problems. Its main applications include modeling and analyzing physical systems, simulating experiments, and predicting the behavior of complex systems.

What skills are required to become a computational physicist?

To become a computational physicist, one must have a strong foundation in physics, mathematics, and computer science. Proficiency in programming languages and familiarity with software and tools commonly used in computational physics, such as MATLAB, Python, and Fortran, are also essential skills.

What are the job prospects for computational physicists?

The job prospects for computational physicists are excellent, as there is a growing demand for their skills in various industries, including research and development, aerospace, energy, and finance. Government agencies, such as NASA and the Department of Energy, also hire computational physicists for their expertise in solving complex problems.

What are the educational requirements for a career in computational physics?

A career in computational physics typically requires a minimum of a bachelor's degree in physics, mathematics, or computer science. However, many employers prefer candidates with advanced degrees, such as a master's or Ph.D., in computational physics or a related field.

What are some potential challenges of working as a computational physicist?

One potential challenge of working as a computational physicist is the need for continuous learning and staying up-to-date with new software and techniques. This field also requires a lot of problem-solving and critical thinking skills, as well as attention to detail, as even small errors in programming codes can significantly impact the accuracy of results.

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