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

Leibniz-Institut für Polymerforschung Dresden e. V.

Geprüftes Unternehmen

Dresden, Deutschland

vor 1 Woche

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 Material Handling and

Industrial Engineering, the
Chair of Material Handling offers a position as

Research Associate (M/F/x)***starting
as soon as possible. The position is within a project funded by the European Regional
Development Fund (ERDF) and initially limited until April 17, 2026. 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.

Tasks:
You will face the challenges of optimizing supply chains, especially with regard to container
localization and inventory forecasting. The focus is on the development of a practical solution that
makes it possible to track even low-value containers

Your tasks include:

Developing strategies and technologies for smart container localization.
Investigation of optimization potentials for reliability, efficiency and sustainability.
Development and testing of a module (in the form of a simulation model) for the automated

- localization and inventory estimation of containers.

Application of machine learning methods to forecast the current inventory.
Optimization of localization systems using simulationbased configuration.
Technical coordination of the joint project: organization of the division of tasks between the

- company and the university.

Preparation, documentation and presentation of findings in the form of presentations,

reports and scientific publications. Publications.

Requirements:

- university degree, and, if applicable, PhD degree, in engineering or economics; preferably with
- focus on production and logistics- systems and analytical thinking skills for the reduction of complex issues
- good to very good German and English skills (written and spoken)
- collaborative, collegial and goal-oriented working style
- willingness to further academic qualification.

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.

Institut für Technische Logistik und Arbeitssysteme, Professur für Technische Logistik, Herrn

Prof. Dr.
Ing. habil. Thorsten Schmidt, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit
cannot be reimbursed.

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