80.000 hours recommands a Machine Learning PhD as a high-impact career path – can help understand the most important technology, and a powerful entry ticket into many relevant jobs. And ML jobs are often well-paid, so they allow earning-to-give as a backup option.
I don’t really like the Machine Learning institute at my university, but the professor who leads the institute for information security (whom I do like) has offered to combine the two fields. He said they’re primarily interested in “privacy-preserving ML”.
How valuable would such a mixed PhD be, compared to a pure ML one? And also, how much does the prestige of the university matter? Should I try to get into the most prestigious one in my country, even if it takes longer? I really struggle to approach these questions. I’m also unsure how much I should care about how I feel about the professor.
80.000 hours recommands a Machine Learning PhD as a high-impact career path – can help understand the most important technology, and a powerful entry ticket into many relevant jobs. And ML jobs are often well-paid, so they allow earning-to-give as a backup option.
I don’t really like the Machine Learning institute at my university, but the professor who leads the institute for information security (whom I do like) has offered to combine the two fields. He said they’re primarily interested in “privacy-preserving ML”.
How valuable would such a mixed PhD be, compared to a pure ML one? And also, how much does the prestige of the university matter? Should I try to get into the most prestigious one in my country, even if it takes longer? I really struggle to approach these questions. I’m also unsure how much I should care about how I feel about the professor.