BASF Schwarzheide GmbH and the Association of Friends and Sponsors of TU Dresden award the BASF Schwarzheide GmbH scholarship prize to students and researchers for particularly outstanding work in the field of process engineering – especially for work with a focus on sustainability or digitalization.

The Awards

The BASF Schwarzheide GmbH scholarship award is endowed by BASF Schwarzheide GmbH. The prizes are awarded as follows:

• Student semester paper: 500 euros
• Diplom thesis/master’s thesis: 1,000 euros
• Dissertation: 1,500 euros

The Jury
The evaluation and selection of prizewinners is carried out by a jury comprised of representatives of BASF Schwarzheide GmbH and lecturers from the following TU Dresden Faculties: Chemistry and Food Chemistry, Electrical and Computer Engineering, Computer Science, Mechanical Science and Engineering as well as Environmental Sciences.

Award Ceremony
The Schwarzheide GmbH award ceremony takes place in the winners’ faculties.

Applications
The work must be finished and defended between January of the preceding year and February of the current year. Please send nominations along with an expert opinion on the work to the University Executive Board, Office of the Rector / Academic Committees. The application deadline is May 31^st of each year.

2021 Winners

• Dipl.-Ing. Sabine Franke, Faculty of Mechanical Science and Engineering, Diplom thesis: “Oxygen accumulation by photosynthesis in tubular photobioreactors and its impact on the cultivation process of Arthrospira platensis”
• Dr.-Ing. Martin Köhler, Faculty of Mechanical Science and Engineering, Dissertation: “Methode zur speziierenden Untersuchung der Reaktionsprodukte in Kalkadditiv-basierten Rauchgasreinigungen” (“Methods for speciation study of reaction products in lime additive-based flue gas cleaning systems.”)
• Dipl.-Ing. Markus Weihrauch, Faculty of Electrical and Computer Engineering, Diplom thesis: “Modellbasierte prädiktive Regelung zur Planung mehrdimensionaler Bewegungsabläufe eines elektrischen Antriebssystems mit Speicher” (“Model-based predictive control for planning multidimensional motion sequences of an electric drive system with memory”)