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In the area of Data Engineering in Medical Technology. We want you!
Contact
Name
Anna-Lena Knott
Telephone
Institution
Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement
Our Profile
We are looking for you as a student assistant to strengthen our team in the area of data engineering for medical applications. The department Model-Based Systems at the Laboratory for Machine Tools and Production Engineering WZL at RWTH Aachen University deals with the application of metrological principles and sensor technology during medical processes, such as minimally invasive operations. Sensors developed in-house are used to record process states, for example to safeguard a drilling process for cochlear implantation. The intraoperatively recorded process data are analyzed with machine learning algorithms. Derived findings are communicated ergonomically to the surgeon to safeguard medical interventions, e.g. in the form of intraoperative temperature management for medical drilling processes.
Your Profile
- You are studying mechanical engineering, electrical engineering, physics or similar
- Programming skills
- Experience with machine learning algorithms
- Manual dexterity
- High motivation
- Independence and a high degree of reliability
Your Duties and Responsibilities
- Analysis of medical processes with machine learning algorithms
- Programming of robots and CNC machines
- Support with current research projects
What We Offer
The successful candidate will be employed as a student assistant.
The position is to be filled at the earliest possible date and offered for a fixed term of initially 3 months.
An extension is possible and desired with positive work performance.
This is a part-time contract position.
The standard weekly hours will be 8-19 hours.
Very free time management with respect to exams and personal preferences.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 12,00 € 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.
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.
Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement - Model-based Systems
Anna-Lena Knott
Campus-Boulevard 30
52074 Aachen
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.
