Information for Prospective Students

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Students Wanted:

I am always looking for students with interest and skills in:

computer simulation,

mathematical modeling, and

statistical data analysis

Useful Computer Skills:

• Learn to work with Linux (recommended Distro: Debian).
• Sooner or later you need to learn LateX and LateX Beamer (also BibTeX).
• Get yourself aquainted with R and R programming as soon as possible.
• Learn to use Maxima - a versatile (and free) computer algebra programm.
• C and Java programming are (occasionally) also very helpful.

Learning:

The most important thing is: Read widely! Be curious! Some good starting points for online learning material are the following links:

• Read statistics and probability textbooks available online.
• Study MIT OpenCourseware and Standford EE.
• Follow TED and Google Talks.
• Watch the Newton Institute Web Seminars and browse the videolectures archive and the UC Berkely video lectures.
• Learn about Wolfram's MathWorld and ScienceWorld.

Funding:

If you are seriously interested in doing a Ph.D. we will find a way to secure funding.
If you are from abroad, the best bet will be to apply for a studentship from the German Academic Exchange Service. Postdoctoral fellowships are available, e.g., from the Alexander von Humboldt foundation.