Hey everyone,
I recently finished my Master’s in Data Science and have been trying to transition into computational neuroscience / NeuroAI over the past few months.
I’ve worked on a few small EEG projects:
- Motor imagery classification (compared CSP, SVM, CNN on multi-subject data )
- EEG preprocessing (ICA, MNE)
- Emotion classification (DEAP dataset)
Nothing super advanced, but I’ve tried to understand the full pipeline end-to-end and also explored cross-subject variability issues.
I’ve been cold-emailing EEG/BCI focused labs in Europe and India (as I'm from India). Got a couple of positive replies, but mostly no response or “no positions.” I don’t have publications and my background is in data science, not neuroscience.
I’ve also registered for the Neuromatch Academy computational neuroscience course (starting July) to build stronger fundamentals.
Right now I’m a bit stuck and would appreciate honest advice:
What’s the most realistic entry point from here?
Are my current projects enough to get into a lab, or do I need to level up more?
Should I just take a generic ML/DS job first and transition later?
Any way to find small paid work in this space at my stage?
I’m fine starting small (RA roles, mid-tier labs, etc.); I'm just trying to find a clearer direction.
Any advice is appreciated :)
Thanks!