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Research Assistant with Bachelor's degree (f/m/non-binary) - in the Field of Sensor-Based Material Flow Characterization of Non-Ferrous Concentrates


Land Nordrhein-Westfalen


Location

Aachen | Germany


Job description

Informationen zum Job

Weitere Informationen

The position is to be filled by 4/1/2024 and offered for a fixed term for 3 months.
A long-term cooperation is highly desired
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a part-time contract position.
The standard weekly hours will be 8 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 14,00 Euros per hour until 31.03.2024 and 15,20 Euros from 01.04.2024.

Unser Profil

ANTS searches and analyses in research and teaching for solutions and methods to make anthropogenic material flows recyclable. Thus, we aim to develop a raw material management at the product and material level as well as to demonstrate and to implement it by means of practical examples. With its previous expertise, the department is one of the leading research institutions in Europe in the field of mechanical and sensor-based processing technology. The ANTS combines the modelling and evaluation of processing and recycling processes with a view to entire product systems and life cycles in the sense of a circular economy and complements this expertise by technical implementation and demonstration.

Ihr Profil

We are seeking a motivated research assistant with Bachelor's degree (f/m/d) to support a research project in collaboration with Remondis focused on the development of a sensor-based inline quality monitoring system for the processing of non-ferrous metal-bearing material flows. The project aims to automate material flow analysis, particularly the compositional analysis of product streams, in order to reduce manual effort and financial resources for the facility operator. The project involves the exploration of various machine and deep learning models for their applicability. 

To be successful in this role, you should possess the following:  

Ihre Aufgaben

Über uns

RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket.
RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at .

Besoldung / Entgelt

14,00 Euros per hour until 31.03.2024 and 15,20 Euros from 01.04.2024


Job tags

TeilzeitarbeitStudentenjob


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