Research Assistant/associate - Aachen, Deutschland - RWTH Aachen University

RWTH Aachen University

Geprüftes Unternehmen

Aachen, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Weitere Informationen:

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 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:

At the Sensing & Robotics department of the WZL at RWTH Aachen University, we are convinced that combining expertise from the fields of manufacturing and medical technology can make both industries safer, more efficient and more sustainable.

In a team of talents, we pursue the goal of redesigning existing measurement technology with new methods and algorithms.

The mission of our team is to redefine the limits of metrology and at the same time to bring together the triad of production safety, medical (technology) and machine learning algorithms (e.g.

by quantifying uncertainties).

For example, why not simply transfer a Bayesian Neural Network for manufacturing safety to robotic surgery in the operating room? Topics to be researched by you include process modeling using machine learning algorithms in the areas of medical (technology) and production, uncertainty quantification of the model results, and the technical implementation of the research results in our machine hall.

In our team you will work with interdisciplinary experts, cooperate with renowned partners from industry (e.g. Bosch, Siemens, Hexagon, Mercedes, Airbus) and research (e.g. University Hospital Aachen, University Hospital Düsseldorf, KIT, TUM) 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 investigations - an excellently equipped laboratory area with more than 1000 m2 and demonstrators from production and medicine make it possible to implement the results in reality.

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:

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 working 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 options

Ihr Profil:

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
Basic knowledge of medical technology
Programming skills in at least one programming language, e.g. Python, C++ or R
Interest in the interface between medical and manufacturing technology
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?

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 metrology in medical technology (machine learning modeling, uncertainty quantification, etc.)
Participation in research and development projects for industry
Supporting the development of the team in the field of virtual metrology in medical technology (e.g. through research proposals or publications)
Representing the team and presenting 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 the area of 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.

Besoldung / Entgelt:

EG 13 TV-L

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