Machine learning is a subset in the field of artificial intelligence (AI) which teaches a system how to learn, by automating the process of building analytical models and identifying patterns from data, with the intended goal of decision making with minimal human input. Ph.D. programs in machine learning prepare students to work in a broad array of growing fields, covering such areas as software development, biomedical engineering, and information security.
The possible applications for machine learning are virtually endless and below are some possible career opportunities in this field.
Salaries & Job Growth for Careers Related to a PhD in Machine Learning
|Job Title||Median Salary (2018)*||Job Growth (2016-2026)*|
|Computer and information research scientist||$118,370||19%|
|Computer and information systems manager||$142,530||12%|
|Information security analyst||$98,350||28%|
Source: *U.S. Bureau of Labor Statistics
Career Paths for a PhD in Machine Learning
Biomedical engineers combine the principles of biology and engineering to develop new medical computer systems, software and devices.
A biomedical engineer with a PhD in Machine Learning could be situated to succeed; novel breakthroughs in robotic surgery and the need for more intuitive analytical and diagnostic techniques mean a demand for AI which can learn, analyze and adapt in real time.
Biomedical engineers often work in medicine, academia, manufacturing sectors or for private and corporate research institutes.
Computer and Information Research Scientist
Computer and information research scientists work on the cutting edge of computing innovation; creating novel approaches to new and old technology.
Computer and information research scientists attempt to solve complex problems from all spheres of medicine, science and industry. Anywhere computers, data analysis or robotics can make life better there is a need for computer and research scientists.
The ability to create and analyze algorithms and dynamic systems is invaluable and this career has some of the fastest job growth at 19%.
Computer and Information Systems Manager
Computer and information systems managers are the IT managers who decide which technologies their organization should implement for maximum benefit.
Computer and information managers are responsible for understanding and predicting the technological needs required to accomplish goals and solve problems while simultaneously choosing the optimum setup for the short and long term.
These managers must keep up on the latest technologies and industry environment to implement the best solutions.
Software developers develop the code used to talk to computers and machine; they utilize this code to create operating systems and programs which facilitate these human/machine interactions.
Software developers require the ability to anticipate user needs and design optimal interfaces, while maintaining the functional integrity of the system; testing and documentation are an integral part of this process.
Developers are involved in every stage of a project; working closely with front-end customers and other computer specialists alike.
Information Security Analyst
Information security analysts implement an organization's systems and network security; they must constantly be aware of the most recent security threats and be able to anticipate and stop any cyber-attacks.
Information security analysts must monitor for breaches and keep software secure; they must constantly assess and mitigate vulnerabilities, investigate any violations and prepare reports.
Penetration testing is an integral component of information security analysis and requires a sophisticated understanding of systems and program code; information security analysts are often the first and last line of cyber defense.
A PhD in Machine Learning can open the door to some of the fastest growing and vital computing careers available. Virtually all industries require the skills this degree provides and the need for functioning AI has never been greater.