Do you have a knack for STEM and a passion for cutting-edge technology that seems to be incubating in small, medium, and large tech companies? Are you eager to take the next step in your career by launching yourself into the world of Deep Tech startups? If so, you’re not alone. The demand for PhDs with expertise in Deep Tech is on the rise. In fact, more than 80% of all venture capital funding in AI startups is going to Deep Tech startups right now. But how do you know if this is the right move for you? And what kind of PhDs are most desired by these types of companies? Let’s take an insider look at why there has been such an increase in demand for PhDs in Deep Tech, which fields they prefer, and how to get one if that’s something you want to pursue.
What is Deep Tech?
Deep tech is the application of artificial intelligence, machine learning, and data science in a wide range of industries. It generally refers to the idea that a particular technology is on the cusp of being “disruptive.” Deep tech is used across a wide range of sectors, including health care, financial services, and retail. In technology, deep tech also refers to the use of artificial intelligence, machine learning, and natural language processing in software applications. Deep tech is often referred to as having the potential to be “disruptive” to a wide range of industries.
Why are there so many PhDs in Deep Tech?
As companies in the Deep Tech space are aiming to disrupt (and disrupt quickly), they often require extremely specialized skillsets from their employees. As a result, they’ve found that the most cost-effective way of getting the talent they want is by hiring PhDs. PhDs with the right skills can be hired between $40,000 and $80,000 — sometimes even more. This kind of investment is actually quite common in the Deep Tech space, which is why there’s been such an increase in demand for PhDs.
Which fields do companies want most in Deep Tech?
The fields that have seen the most interest among Deep Tech companies are computer science, machine learning, data science, and artificial intelligence. Other fields are also in high demand, but these four have seen a lot of growth over the past few years. In fact, demand for computer scientists has been growing since 2011 and has reached a level not seen since the dot-com era. As for specific skills, knack for applying AI to business problems, applied data analysis, and experience applying natural language processing to business problems are the hottest of the hot.
How to get a job in Deep Tech as a PhD?
The first step is to choose a company, a field of study, and a type of job you want to do. Once you’ve done that, you can start networking and building a personal brand. You can do this by joining Deep Tech events, building your presence on social media, and publishing papers that share your knowledge. You can also apply for fellowships that will help you get noticed. If you’re really serious about landing a job in Deep Tech, you may also want to consider getting a certificate or completing a degree, like an MSc, PhD , courses certificates in AI or data science. That’ll help you stand out from the crowd. Finally, if you want to secure the job of your dreams, you should also think about your resume, cover letter, and interview skills. You can do this by practicing and reading up on how to ace job interviews and how to write a good resume. With these tips in mind, you’ll be ready for anything, and that interview will almost be a walk in the park!
Conclusion
The rise of Deep Tech has led to an increase in demand for PhDs in areas like computer science, machine learning, and data science. The best way to launch yourself into the world of Deep Tech is to choose a company, a field of study, and a type of job you want to do. From there, you can start networking and building a personal brand. You can also apply for fellowships that will help you get noticed. Finally, you can also improve your interview skills by practicing, reading tips on how to ace job interviews, and building a great resume.
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