Technische Universität Berlin - Faculty IV - Institute of Software Engineering and Theoretical Computer Science / Machine Learning
Research Assistant - salary grade E13 TV-L Berliner Hochschulen - 1st qualification period (PhD candidate)
part-time employment may be possible
Research tasks in the field of Machine Learning, development of analysis methods of nonstationary data in particular. Advancement of robust and additive methods to solve statistical learning problems. Statistical Analysis of multi-dimensional sensor data as well as autonomous execution of experiments including but not limited to the field of neuro sciences ( EEG and EMG-data). Implementation, application and evaluation of developed techniques.
Supervision of Bachelor/Master students. Teaching in this subject area.
Successfully completed university degree (Master, Diplom or equivalent) in mathematics or computer sciences. Ideally, several years of experience as scientific research assistant in the field of machine learning. Extensive and deepened knowledge on: statistical learning theory and machine learning methods, kernel methods, neural networks, probability theory, statistics (Bayes‘ statistics, Bayes‘ optimization, variational methods et al.), non-linear optimization, application of machine learning methods on high-dimensional data: regression-, classification- and clustering problems as well as their empirical evaluation.
Very good programming skills and expertise in using mathematical software and simulation environments such as Python or Matlab together with object oriented languages like Java or C++ are mandatory. Experiences in industrial project work as well as publications in machine learning journals and/or conferences are desirable.
Very good command of German and English is required.
How to apply:
Please send your written application with the reference number and the usual documents to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Maschinelles Lernen, Prof. Dr. Müller, Sekr. MAR 4-1, Marchstr. 23, 10587 Berlin or by e-mail to email@example.com.
To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired.
Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities.
Please send copies only. Original documents will not be returned.
Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik, FG Maschinelles Lernen, Prof. Dr. Müller, Sekr. MAR 4-1, Marchstr. 23, 10587 Berlin