ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Fully funded PhD Position: Machine-learning based diagnostics and predictive maintenance for power converter systems

Country/Region : Germany

Website : http://www.ruhr-uni-bochum.de/ika/instit...

Description

We are looking for researchers with an excellent Master's degree in electrical engineering, computer science, or related areas. A solid foundation of machine intelligence, including deep learning and statistics, is important, and knowledge of control engineering and power systems design as well as excellent English language proficiency are a definite plus. German language skills are not a requirement, but would be helpful. Programming skills in Matlab/Simulink are required, with C/C++ skills as an added advantage.
The goal of this work is the advancement of machine-learning based diagnostics and predictive maintenance for power converter systems. This necessitates the development of highly reliable and functionally interpretable methods of machine learning. To allow for the use in unique and arbitrary environments, the methods need to provide for the inclusion of analytic knowledge, in the form of differential equations as well as non-linear physical models within our framework of statistical and neural-network-based machine learning. In addition to deriving, implementing and evaluating new learning algorithms, you will present the results at international conferences and in journals, and participate in a PhD program with regular workshops and many opportunities for extending your professional skill set.
Ruhr-Universität Bochum supports the career development of women. Applications from women are thus explicitly welcome. In those areas, in which women are underrepresented, they will be considered preferentially according to the regulations of the „Landesgleichstellungsgesetz” if their abilities, aptitude and professional performance are equal with those of the fellow applicants, unless reasons concerning the person of a fellow applicant are predominant. In case of equal qualification, applications of severely disabled persons or persons that are regarded as being on a par with severely disabled persons according to § 2 Abs. 3 SGB IX will be considered preferentially.
The position will be fully financed for 3 years according to the German salary level TVL-E13 (100%). More information on the hosting institute can be found online at http://www.ruhr-uni-bochum.de/ika/institut/institu... .
Please send applications, containing your CV, Bachelor's and Master's transcript, motivation for applying (max. 1 page), pdf files of recent English-language publications (if available), and the names of at least two references (email addresses are sufficient) via email to dorothea.kolossa-AT-rub.de before September 26 for preferential consideration. Position will be open until filled.

Last modified: 2017-09-18 22:42:54