Wolfgang Hillen Summer School 2019

Prof. Dr. Dieter Braun

Center for NanoScience (CeNS)

and Fakultät für Physik,
LMU München,
Geschwister-Scholl-Platz 1
D-80539 München, Germany

phone: +49 89 2180 2317
e-mail: Dieter.Braun@physik.uni-muenchen.de

Prof. Dr. Omar Saleh

International Center for Materials Research

Materials Department,
UC Santa Barbara,
Santa Barbara, CA 93106, U.S.A.

phone: +1 805 893 2449/ 8814
e-mail: saleh@engr.ucsb.edu

Machine learning for molecular design and evolution

Part 1: May 28 – June 14, 2019 – Santa Barbara
Part 2: September 9 – 27, 2019 – Munich

The Wolfgang Hillen summer school “Machine learning for molecular design and evolution” is a two-part summer program of the Center for NanoScience (CeNS) Munich and the UC Santa Barbara. The first part will take place in Santa Barbara, the second part in Munich. Nanoscience with a focus on molecular design will be taught by an innovative, peer-to-peer training approach and by taking advantage of local expertise and facilities. The scientific aim of this program is to transfer complementary sets of knowledge and skills between PhD students of the participating research groups and to spark new research directions. Leading experts in a wide range of fields will give insights in their latest research on molecular design and evolution and will provide, together with their students, individual lab projects for the visiting scholars.

The challenging scientific program will be realized by an unusual teaching concept: First, a group of ten selected PhD students from CeNS will visit CNSI in spring 2019 where they will be hosted individually by the Californian students. A corresponding student group from CNSI will then visit CeNS in fall 2019, with switched hosting roles. Each visit will include two weeks of lab rotations and one week of lectures, organised as a thematically focused symposium with invited speakers. During the lab courses, each participating graduate student will present his experimental set-up and own favorite experiment in a two-day course to the visitors. Each student will follow about five different lab courses, thereby guaranteeing the active trading of skills. The students can choose which set-up they would like to know about, such that the final schedule for the students will be tailor-made and teaching can be performed on a very individual basis with small groups of 2-4 students.

An additional focus of the program will lie on machine learning and will be covered in a special workshop with experts in Santa Barbara.