Scholarships Source

The Institute for Heat and Fuel Technology at the TU Braunschweig seeks a

in the area of nonlinear systems and network optimization under uncertainty.

The position is vacant in the Integrated Systems Group (M. Mönnigmann). Our research deals with the development and application of numerical methods for the modeling, simulation, and optimization of nonlinear dynamical systems in the areas of process, chemical, and energy systems engineering.
The position is vacant in a long-term project funded by and carried out in cooperation with E.ON, one of the major European utility companies. The goal of the project is the development of numerical methods for the economic optimization of large scale energy generation and storage networks. Particular emphasis is on the uncertainties that arise due to intermittent sources such as wind and solar energy.

Ideal candidates have

• completed a master’s or equivalent degree in mechanical, chemical, or electrical engineering, scientific computing, applied math, or physics with a very good academic record,
• experience in numerical methods and programming, in particular experience in numerical optimization methods such as linear, nonlinear, or integer programming are welcome,
• interest in conducting Ph.D. research in an interdisciplinary area at the interface of engineering and scientific computing,
• interest in teaching and advising,
• interest in cooperation with industrial partners,
• very good proficiency in English.

Knowledge of German is very welcome. The salary follows the German law for public institutions and is according to the standard rate TV-L E 13.

The TU Braunschweig particularly welcomes applications of women and persons with disabilities.

Applications should comprise a letter of motivation, a CV, undergraduate and graduate transcripts, and any other information that prove a high academic aptitude. If available please include contact information of references and test scores (such as GRE, TOEFL).
Please send your application to one of the following addresses. Electronic applications are preferred.

TU Braunschweig
Prof. Dr.-Ing. M. Mönnigmann
Postfach 3329
38023 Braunschweig
Germany

jobs-wbt@tu-bs.de