Student Assistant
vor 1 Woche
**Contact**:
**Name**:
Aydin Deliktas
**Telephone**:
- workPhone- +49 241 80-22775***:
**Institution**:
Chair of Anthropogenic Material Cycles and Institute of Processing, Coking, and Briquetting
**Our Profile**:
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.
**Your Profile**:
We are looking for a motivated student assistant to support the SBQC-PO research project for the development of a sensor-based inline quality monitoring system for the processing of shredded lightweight packaging waste. The project aims to develop an AI-based material flow characterisation and automated quality management system. The project not only includes the development of AI models, but is also actively involved in setting up suitable experimental tests, preparing materials and analysing experimental data. You have:
- Knowledge or high interest in the field of machine learning, computer vision and sensor data
- Programming experience in Python
- Knowledge of image and sensor data processing or time series analysis is a plus
- Analytical thinking and an eye for detail
- High motivation and good communication skills
- Ability to work independently and willingness to work in a team
- Good command of the English language
- Current enrollment at a university or university of applied sciences
**Your Duties and Responsibilities**:
- Collaboration in the research project ‘SBQC-PO’: You will support us in the development of a system for the assessment of plastic flows using machine learning methods
- Analysing and processing hyperspectral data using Python
- Support our scientific staff by independently researching literature, preparing and analysing experimental data and creating scientific illustrations
- Supporting the institute with general tasks
**What We Offer**:
The position is to be filled by 12/2/2024 and offered for a fixed term of one year.
A long-term cooperation based on yearly extensions is desired.
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 13.25 € per hour.
**About us**:
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.
Application
- Number:
- V000008568- Application deadline:
- 18/10/2024- Mailing Address:
- RWTH Aachen University
Chair of Anthropogenic Material Cycles and Institute of Processing, Coking, and Briquetting
Aydin Deliktas
Wüllnerstraße 2
52062 Aachen
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