Bielefeld’s Best Doctoral Dissertations of 2015

University Society award ceremony held at the Center for Interdisciplinary Research

On Wednesday, 17 February, the University Society of Bielefeld (UgBi) held its annual award ceremony recognizing young scientists for their doctoral research at the University’s Center for Interdisciplinary Research. The 15 doctoral dissertations recommended by the faculties of Bielefeld University were honored with the highest distinction of “summa cum laude.”

Three of the recipients of this honor are from CITEC: Cornelia Frank (Neurocognition and Biomechanics), Jan M. Ache (Biological Cybernetis), and Amir Sadeghipour (Cognitive Systems and Social Interaction).

Herbert Vogel, Head of the University Society of Bielefeld, who presented the award certificates to the best doctoral researchers, praised the university’s excellence in research: “In the research atlas of the German Research Foundation (DFG), Bielefeld University places fourth in Germany, and is number one in North Rhineland-Westphalia. These excellent young researchers we have honored for their outstanding accomplishments will help ensure that our university remains at the very top of the best research universities in the future.”

The University Society of Bielefeld has awarded this dissertation prize since 1983. The distinction comes with a cash prize of 1,000€, which is funded by both notable companies from the region of Ostwestfalen-Lippe, as well as individual contributors.

Due to the fact that at least one doctoral researcher is selected from each university faculty, the spectrum of dissertation topics is very broad. Of this year’s doctoral researchers, 11 men and 4 women were chosen for the prize.

 

The Award Winners and their Doctoral Dissertations:

Faculty of Biology
Jan M. Ache
Descending interneurons in the stick insect antennal mechanosensory system – exploring the coding space of tactile localization

 

 

 

 

Faculty of Psychology and Sports Science
Dr. Cornelia Frank
Mental representation and learning in complex action

 

 

 

 

Technical Faculty
Dr.-Ing. Amir Sadeghipour
A Computational Model of Motor Cognition for Iconic Gesture Processing