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.
[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:
If you're interested in probabilistic graphical models and representation learning, please read
If you're interested in natural language processing and machine translation with neural nets, please read
Internship is often too short (3-6 months). I recommend any internship to be at least six months long (in exceptional cases, a 3-month-long internship is possible, but it's not recommended.) Because it's short, I want to make sure that an intern knows what she/he would work on during their internship already before the internship starts. This is a measure to avoid any waste of time. When emailing me about a potential internship, please do include a list of 2-3 research topics with some level of details.
When emailing me...
Please use the following code in your email subject. Otherwise, I cannot guarantee that I would read the email.