Early Stage Researcher / PhD Position at Helmholtz Zentrum Dresden-Rossendorf, Germany

Employer
Helmholtz-Zentrum Dresden-Rossendorf
Location
Germany
Posted
September 26 2017
Position Type
Full Time
Organization Type
Academia

as part of European Innovative Training Network "Smart Tomographic Sensors for Advanced Industrial Process Control (TOMOCON)"


The European Marie Skłodowska-Curie Innovative Training Network TOMOCON joins 12 international academic institutions and 15 industry partners. We work together in the emerging field of industrial process control using smart tomographic sensors. The network will lay the scientific and technological fundamentals of integrating imaging sensors into industrial processes and will demonstrate its functional feasibility on lab and pilot-scale applications. Our doctoral researchers will be trained and work in the fields of process tomography hardware, software and algorithms, control systems theory and design, industrial process design, multi-physics modelling and simulation, human-computer interaction, and massive parallel data processing. More information about the network and all open positions can be found on our web page www.tomocon.eu.


Within TOMOCON we seek excellent open-minded and team-spirited PhD candidates who will get unique international, interdisciplinary and inter-sectoral training in scientific and transferable skills by distinguished leaders from academia and industry. Within the TOMOCON network we offer the following PhD position at HZDR:


New concepts for control in continuous casting using electrical and magnetic tomography


Reference number: TOMOCON-ESR2


95% of the world's steel output is produced by continuous casting. In order to demonstrate the capability of tomographic sensors for the control of continuous casting, the PhD candidate shall enhance an existing model of a continuous caster, which is available at Helmholtz-Zentrum Dresden-Rossendorf, with several actuators and with two tomographic sensors. One of them will be based on a combination of electrical capacitance and mutual inductance tomography, which will be developed at the University of Bath, the other one will be based on the contactless inductive flow tomography (CIFT). Beside the realization of the control loop for this demonstrator, the PhD candidate shall adapt CIFT for this particular setup and develop a real time reconstruction algorithm. The work comprises fundamental scientific analyses, engineering design and construction of a technical demonstrator together with groups at universities Delft, Bath and Liberec and different industry partners. The PhD candidate will spend secondments at Primetals (Austria), Tata Steel Europe (The Netherlands), University of Bath (UK), and Technical University of Liberec (Czech Republic) for technical and scientific training. The PhD degree will be awarded by Technische Universität Dresden, Germany.



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