All of the following takes place in a UK university.
I have a BSc in Physics and an MSc in Computer Science. My thesis was on applying various machine learning/statistical techniques to biological datasets. I wanted to do something similar for my PhD, however my supervisor left the university.
I am now in the first year of my PhD in Computer Science, specifically Computational Biology. My work focuses on comparing different techniques (physical/statistical/machine learning) in single cell simulations. I am finding it hard to incorporate machine learning techniques into my work as there aren't many datasets for the kind of thing my supervisor wants me to do and so the machine learning approach is proving tricky.
I desperately want a job/postdoc in a machine learning/stats environment.
Lots of post docs I know switched field after their PhD e.g. Astro-physics to machine learning, dependable systems to machine learning, Biophysics to compiler design. In my case would anyone in the ML community take me seriously? (I thought my Msc would help me out...)
I have taught myself a fair bit of ML and stats, is there anything else I should do to increase the likelihood of getting an ML/stats postdoc?
Would anyone in a stats department take me seriously as I have no maths degree?
Do people that change career areas have successful careers or is this normally a red flag?