I'm completing my Masters in Artificial intelligence. My thesis is about the social robotics and cognitive sciences. However, During my Masters, I've self-studied a little about big data and machine learning and I want to do my PhD in that area. Currently, I'll be done with my thesis writing in a week and after that I'll be working on machine learning and big data.
Meanwhile, during my search of phd position, I have found one opening whose deadline is November'15.
I have two options now:
I finish my thesis writing and get some machine learning concepts for around 1-2 months and then talk to the relevant supervisor.
I contact the professor now, showing my interest and keep in touch with him or ask him for guidance before joining the PhD with him?
I need your guidance in choosing the best option among two. In two months i think i'll have some basic concepts about the big data and data mining but i have to wait for two months and the position may not be available by that time.
On the other hand, I have no prior work experience in the proposed Phd field, will the professor appreciate my interest and will help me to cover basics after finding me interested?