Research Assistant/Associate (f/m/d) - Data science in production Virtualizing measurements and enabling predictive quality with machine learning in the production metaverse

Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term of two years.
An extension of the contract for three further years is planned.
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 full-time position.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

In the Sensing & Robotics department of the WZL at RWTH Aachen University, we are convinced that data science can make the future of production safer, more efficient and more sustainable. In a team of talents, we pursue the goal of redesigning existing production measurement technology with new methods and algorithms. Our team's mission is to redefine the limits of production metrology and at the same time harmonize existing methods for safeguarding production (e.g. quantifying uncertainty) between production metrology and machine learning. For example, why not simply use a Bayesian Neural Network instead of a coordinate measuring machine? Topics to be researched by you include process modeling using machine learning algorithms, uncertainty quantification of virtual measurement and the technical implementation of the research results in our machine shop.

In our team you will work with interdisciplinary experts, cooperate with renowned industrial partners (e.g. Bosch, Siemens, Hexagon, Mercedes, Airbus) and have access to state-of-the-art facilities and resources. Our own high-performance computing cluster (768 cores, 1.96 TB RAM, 4 Nvidia A100) in combination with our own 5G network offers the possibility to carry out even computationally intensive research - an excellently equipped laboratory area with more than 1000 m² also makes it possible to implement the results in real world enviroment.

We offer an environment that fosters creativity, innovation and collaboration, and gives you a platform to make a difference and drive change. At WZL, you will develop your professional expertise and be trained to become a leader. WZL's extensive network and internal career pool will ensure that you have very successful career prospects.

What you can expect:

• Creative freedom to independently implement innovative ideas using unique technical equipment (computer clusters, (mobile) robotics, machine vision systems, 5G)
• A team that celebrates successes, travels together, spends free time together and creates a common work environment
• Longer stays abroad (e.g. in Italy, Brazil or Thailand) are possible and desirable
• Internationally visible scientific work and publications
• Exciting and diverse national and international industry and research projects
• Opportunity for doctoral studies at RWTH Aachen University
• Excellent career opportunities

Ihr Profil

You are enthusiastic about new technologies and enjoy creative, interdisciplinary work in a dynamic team. You also have an independent, structured, quality and results-oriented work style. You are curious and willing to learn about and combine different application-related topics. If you also want to contribute to competitive and sustainable production technology through your research, we look forward to receiving your application.

You should hold a university degree (Master's or equivalent) in engineering or natural sciences.
The following skills round out your profile:

• Previous knowledge of AI & Machine Learning
• Programming skills in at least one programming language, e.g. Python, C++ or R
• Interest in uncertainty quantification of machine learning algorithms and/or industrial measurement processes
• Enjoyment of technical implementation of research results in a laboratory environment
• Professional, confident written and oral communication in German and English

Would you like to prepare for the next step in your career with a PhD?

If you meet the formal requirements and possess or are interested in acquiring some of the listed skills, we look forward to receiving your application (cover letter, curriculum vitae, certificates by e-mail to the contact persons listed). The application process consists of an initial video interview and a more detailed on-site interview.

Ihre Aufgaben

Your day-to-day work will consist of a diverse and varied portfolio of tasks. Activities include:

• Management of publicly funded projects in the field of virtual measurement and Predictive Quality (machine learning modeling, uncertainty quantification, etc.).
• Participate in research and development projects for industry
• Collaborate with team members to optimize and develop our machine learning pipeline for production quality prediction
• Integrate research results in our lab area (e.g. in a machine tool)
• Represent the team and present research results in publications, at congresses and conferences
• Supervision of student theses and management of a team of student assistants
• Supervision and teaching of courses in Sensing & Robotics

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

EG 13 TV-L