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Conservation Research Institute


Schmidt Data for Science Residency Programme

Earlier this month, the University launched the Accelerate Programme for Scientific Discovery funded by a philanthropic donation from the Schmidt Futures. This new initiative is designed to equip STEMM researchers with data analysis and machine learning skills to apply in their own research, and advance the pace of scientific discovery across a range of disciplines. This transformative programme will be led by Professor Neil Lawrence, the DeepMind Professor of Machine Learning.

As part of this initiative we are pleased to launch the first Schmidt Data for Science Residency Programme, a free 5-week accelerated masterclass for current PhD students and postdocs in STEMM subjects, providing them with training in the latest machine learning techniques. It is aimed at people with some programming experience but little previous data science background.  This virtual course will be run by Cambridge Spark and will include taught modules where participants will learn how to apply data analysis to their own datasets, as well as virtual hackathons where participants will work together to solve real-world data science challenges. Participants will be assigned a mentor who will provide technical guidance during the programme and will benefit from being part of a growing community of researchers using data science across the University.

The course will run from Monday 20th July - Friday 21st August. For more information on the course and details of how to apply, please go to the programme website.

Application Deadline: Friday 3rd July