This is a unique program and admission in the last years was highly competitive. We encourage applications from outstanding candidates with academic backgrounds in Mathematics, Physics, Computer Science, Engineering and related fields, and a keen interest in doing basic research in machine learning and its scientific applications. There are no additional restrictions on the topic of the PhD but for further information on our current research areas please consult our webpages at http://mlg.eng.cam.ac.uk and http://ei.is.tuebingen.mpg.de.
The overall duration of the PhD will be four years, with roughly three years spent at one location, and one year spent at the other location, including initial coursework at the University of Cambridge. Successful PhDs will be officially granted by the University of Cambridge.
We anticipate that the PhD Fellowships will cover university tuition fees (at Cambridge EU rates) and a stipend of approximately 17000 Euros (about 14500 GBP) per year. We acknowledge generous financial support from Amazon. Applicants from Europe don’t need an employment visa, for those who apply from non-EU countries it is necessary to inform themselves at the embassy of their country about visa procedures.
Applications to the Cambridge – Tübingen PhD Fellowships should be made by first applying to the Cambridge PhD program in Advanced Machine Learning as described here.
Applicants should also make sure that they apply for “Cambridge Trusts”, “Gates Cambridge”, and “Other Research Councils” funding by ticking the relevant boxes in the application form.
Once you have completed the application to the Cambridge PhD Program, and before actually submitting it, you should download the application and send a copy to email@example.com. It is important to download the application before submitting it through the academic portal because the application is no longer available once it is submitted. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to firstname.lastname@example.org. Please arrange for a cv, a motivation letter, BSc. and MSc. transcripts, and two reference letters of your application to the Cambridge PhD program in Advanced Machine Learning to be sent also to email@example.com.
The hard deadline for formal applications is noon November 10st, 2020
Interviews will take place remotely on January 14th and 15th, 2021
The University of Cambridge is committed in its pursuit of academic excellence to equality of opportunity and to a proactive and inclusive approach to equality, which supports and encourages all under-represented groups, promotes an inclusive culture, and values diversity.
The Max Planck society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck society strives for gender diversity and equality.
José Miguel Hernández Lobato
University of Cambridge
Max Planck Institute for Intelligent Systems