Research assistant with bachelor degree (f/m/d) for Data Science in Recycling Processes

Weitere Informationen

The position is to be filled at the earliest possible date and offered for a fixed term of initially 6 months.
A longer employment is prefered.
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 € per hour.

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. We offer:

• Collaboration in an exciting and cutting-edge research field
• Involvement in the active processing of research projects
• Flexible working hours and mobile working e.g. during exam preparation
• Extensive supervision and support
• Opportunity to participate in scientific publications as a co-author
• A friendly working environment and occasional team events

In this context, the working group "Sensor Technology" investigates possible optimization potentials of sensor-based sorting as well as the extended process control. Our strengths lie in the following areas:

• Access to extensive technical equipment for test campaigns: laboratory, pilot plant, measuring stands for sensor-based sorting and characterization, execution of measurement campaigns in large-scale sorting and processing plants
• Comprehensive assessment of processing technology issues
• Analysis of process chains of mechanical and sensor-based processing
• Quantitative characterization of anthropogenic material systems using inline sensor technology in combination with machine and deep learning algorithms
• Control of separation processes based on relevant parameters such as volume or material composition per time unit

We are looking for you as a research assistant to strengthen our working group "Sensor Technology".

Ihr Profil

• Enrolled in an engineering or technical/scientific degree program and completed bachelor studies
• Knowledge of or high interest in machine learning and/or computer vision
• Programming knowledge in Python (or high interest in learning it)
• Analytical thinking and ability to think abstractly
• Interest in material cycles and life cycle analysis
• High motivation and good communication skills
• Ability to work independently and willingness to work in a team
• Very good knowledge of the MS Office package, especially Excel
• Advanced knowledge of written and spoken English

Ihre Aufgaben

• Collaboration in the research project "ORAM": You will develop with us a modular mechanical reprocessing method for the recovery of high-performance polymers from end-of-life aircraft components, so that the plastic recyclates produced can be used again in aircraft-related additive manufacturing. As part of the process development, the technical feasibility of polymer and foreign material detection using near-infrared or X-ray transmission (XRT) sensor technology will be investigated.
• Collaboration in the research project "ProSim": You will support us in the process modeling and simulation of mechanical processing and sorting plants on the basis of sensor-based data. This includes the acquisition of this sensor data in laboratory, pilot plant and plant scale, the preprocessing of data (e.g. using Python), as well as the modeling of individual processes of transfer functions and representation of entire process chains.
• Support our scientific staff by independently conducting literature research, preparing and analyzing experimental data, and creating scientific figures.
• Assist the Institute with general duties as they arise.

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 http://www.rwth-aachen.de/dsgvo-information-bewerbung .

Besoldung / Entgelt

14,00 € per hour