Research assistant with Bachelors`s degree (f/m/d) In the field of programming with sensor data for AI-based material flow monitoring in recycling processes

Weitere Informationen

The position is to be filled at the earliest possible date and offered for a fixed term of 1 year.
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 16,00 €.

Unser Profil

ANTS searches and analyses, in both 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 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 institute combines the modelling and evaluation of recycling processes with a view to entire product systems and life cycles in the context of a circular economy and complements this expertise with technikcal implementation and demonstration.

Ihr Profil

We are seeking a motivated student assistant (f/m/d) to support programming- and AI-development tasks for sensor-based material flow monitoring in recycling processes. A central focus is the processing of data from our custom-made sensor-based systems and the development of suitable AI-models and analysis dashboards to allow inline evaluation of the material stream. Additionally, it is possible to support the development and implementation of new sensor-based systems, for instance in real industrial plants.

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

• Immatriculation in a consecutive course
• Interest in material cycles and life cycle analyses
• High motivation and strong communication skills, not just on an academic level, but also regarding experts from industry, such as plant operators
• Analytical thinking and eye for detail
• Interest in mechanical processing and sensor-based monitoring technologies
• Ability to work independently and proactively, and a willingness to collaborate in a team
• Good English and sufficient German language skills
• Knowledge of image processing, machine and deep learning or data science in Python
• A driver’s license (class B) is a plus, so you can support us in transporting sensor-based systems to project partners

Ihre Aufgaben

• Support of our scientific staff by independently conducting literature research, preparing and analyzing experimental data, and creating scientific figures
• Independently assist in the development of Python-based AI-models, analysis tools and data processing
• Helping with (the preparation of) experiments in the laboratory and pilot plant, and corresponding data collection
• Taking up general tasks

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

16,00 €