Research Associate - Dresden, Deutschland - Leibniz-Institut für Polymerforschung Dresden e. V.

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung
TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most
dynamic research institutions in the country. Founded in 1828, today it is a globally oriented,
regionally anchored top university as it focuses on the grand challenges of the 21st century. It
develops innovative solutions for the world's most pressing issues. In research and academic
programs, the university unites the natural and engineering sciences with the humanities, social
sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
and transfer of science to society. As a modern employer, it offers attractive working conditions to all
employees in teaching, research, technology and administration. The goal is to promote and develop
their individual abilities while empowering everyone to reach their full potential. TUD embodies a
university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation
and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent
university. Accordingly, we welcome all applicants who would like to commit themselves, their
achievements and productivity to the success of the whole institution.

At the
Faculty of Mechanical Science and Engineering, Institute of Process Engineering and
availability of resources, a position as


Research Associate / PhD Student (M/F/x)***starting
August
1, 2024._ _The position is limited to 3 years and comprises 75% of the full-time weekly
hours. The period of employment is governed by the Fixed Term Research Contracts Act
(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position offers the chance to obtain further
academic qualification (usually PhD thesis).


Tasks:
In the joint EFRE InfraProNet project "SmartPaste," we aim to advance a technology that
Therefore, suitable batch reactor designs shall be developed. To assess the impact of geometry and
operating conditions on hydrogen development, reactor utilization, and heat removal, an Euler-CFD
model incorporating Casson plasticity should be implemented. Consideration of gas development and
kinetics through source terms and submodels is necessary. Model validation will be conducted,
among other methods, through stirring mixing studies utilizing flow imaging techniques. The tasks
also involve designing simplified cell models to derive an optimized thermal management. Effective
collaboration within the team and with project partners is essential. The PhD project also requires the
presentation of research findings in journals and at conferences.


Requirements:
A very good university degree, preferably in engineering, ideally in chemical
engineering, process engineering, or mechanical engineering; advanced knowledge in fluid mechanics
and computational fluid dynamics; profound knowledge in reaction engineering and mixing
technology as well as skills in process modeling and data analysis (e.g., MATLAB, Python); creativity
and self-motivation; interest in new forms of team collaboration and knowledge transfer to students;
a personality confident in communication and presentation, who works independently and
systematically. Interest in engineering-related questions is a great advantage.


For more information call:
TUD strives to employ more women in academia and research. We therefore expressly encourage
women to apply. The University is a certified family-friendly university and offers a Dual Career
equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code
IX (SGB IX) will receive priority for employment.

motivation referencing the job advertisement text, by
May 22, 2024 (stamped arrival date of the

Fakultät Maschinenwesen, Institut für Verfahrenstechnik und Umwelttechnik, Professur für

Chemische Verfahrenstechnik,
Herrn Prof. Dr.
Ing. Markus Schubert, Helmholtzstr. 10, 01069

returned to you. Expenses incurred in attending interviews cannot be reimbursed.


Reference to data protection:
Your data protection rights, the purpose for which your data will be processed,

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