(Careers) Machine Learning for Biosynthetic Materials
We are currently trailing candidates, asking them to produce a Jupiter notebook report based on a dataset of around 100 samples, 12 dimensions.
Your report should include:
- Data description: Summary, Plots etc.
- GP modelling, or any BO friendly modeling
- Bayesian Optimisation of initial recommendations.
- Hourly breakdown of your work done
The report will be the first piece in a possible longer and bigger project.
The task is estimated at 5 to 10 hours and will be paid. Successful candidates will be assigned to the project.
Are you interested to trial with us and produce a report?
Email us at causalminds@gmail.com
Get in touch
We will happily guide you through the emerging space of data-driven material discovery. We look forward to learn from your experience and problem space.