1) Do you know what your transferable
skills are?
Your transferable skills are the ones that you have gained in your
PhD at graduate school, and maybe also in your life and also in your undergrad
studies that you can then use and monetize outside of the PhD in industry or
business.
So, the question of someone who recruits you potentially is “how can
we use your skills to make more or you know, make money to create value in our
business context”.
And these transferable skills can fall into three
categories. One is "people". And the other one is "data". And the third one is
"objects".
So, for "people", that's like leading people, developing people,
teaching, communicating for or with them, working for or with them, working in teams, etc., working with diverse people like
intelligent, but also not so intelligent people.
You have to
be aware that we are quite homogeneous in academia, in terms of intellectual
capacity, but the real world has so much more to offer.
And we have to be able
to communicate our ideas in a way that others can understand and also relate
and work with that.
So, we tend to communicate in ways that are maybe
intimidating for others. And that's why it's so important to focus on the people aspect.
The second category is "data". And I think that
probably we all know what we mean with data because we are working with data
and research is about creating insights based on data.
That could be
quantitative, statistical numbers, etc. But of course, could also be qualitative.
So, interviews and something like that.
And I think that our research skills,
our empirical skills really contribute a lot of value into
creating new products, new services, especially in today's world where data is,
you know, abundant, but understanding the data is a very rare skill especially
researchers have.
And then we can also work with "objects" like immaterial
objects or hands-on objects.
I know someone who has been working with rats, so
rodents, and he's got really good hands to work with them, and to do surgery
and something like that.
Or like working with a microscope, something like
that, that is also objects, but it could also be virtual objects, digital
objects, so that you can create new things, new concepts, something like that.
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