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Prospective Students

For Prospective Ph.D. Students

[The admission process for 2017 is almost over. I will take in only a very limited number of students from next year (2018) and on.]

Please apply via the official admission site of the Department of Computer Science at

If you're interested in a more interdisciplinary research, e.g., machine learning focused on natural language processing or machine learning for medical imaging, I suggest you to check out a new PhD programme at the Center for Data Science:

I highly recommend you to read the reading materials listed below.

For Prospective Undergraduate/Master's/Ph.D. Interns

[I am not receiving any more interns until the end of summer 2017. Please check back then]

I am always happy to discuss potential research topics with undergraduate or master's-level students. It is however necessary for you to have some background on my research area in order to do so. I suggest you to read at least the following materials before arranging a one-on-one meeting with me:
  • Chapters 1-4 of my lecture note on <Natural Language Understanding with Distributed Representation> available at
  • Chapters 1, 2, 3 and 4 of <Pattern Recognition and Machine Learning> by Bishop (2006)
If you're interested in probabilistic graphical models and representation learning, please read
  • Chapters 8 and 9 of <Pattern Recognition and Machine Learning> by Bishop (2006)
  • Part III of <Deep Learning> by Goodfellow, Courville and Bengio (2016)
If you're interested in natural language processing and machine translation with neural nets, please read
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