Student Assistant (f/m/non-binary)

Student Assistant (f/m/non-binary)

Contact

Name

Yuli Wu

Telephone

workPhone
+49 241 80-27974

E-Mail

Institution

Lehrstuhl für Bildverarbeitung

Our Profile

As part of the project “Innovative Retinal Interfaces for Optimized Artificial Vision” (https://www.rtg2610.org), we are focusing on the research of innovative methods for the stimulation of the visual system to improve current techniques for vision restoration in blind humans with a retinal prosthesis system. A detailed introduction of “retina prosthesis” can be found at https://eyewiki.aao.org/Retina_Prosthesis.

Your Profile

  • Enrolled students in the field of electrical engineering or computer science
  • Independent and motivated
  • Interest in simulation models for retinal prosthesis systems
  • Proficient English skills
  • Knowledge and experiences in Python

 

Your Duties and Responsibilities

The main tasks will include:

  • Support with the simulation of the retinal prosthesis systems with an open source Python tool
  • Optimization of the simulated results with different data
  • Implementation of additional computational models

Are you interested? We would be happy to receive your complete application! Please simply send us your CV and a current overview of your grades preferably as a PDF to the contact person listed below. If you have any questions, we are at your disposal. Please note that incomplete applications cannot be considered due to the high number of applicants.

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 three months.
This is a part-time contract position.
The standard weekly hours will be 8-16 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 11,80 € 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.

Application
Number:V000003548
Application deadline:30/09/2022
Mailing Address:RWTH Aachen University
Lehrstuhl für Bildverarbeitung
Yuli Wu
Kopernikusstraße 16
52074 Aachen
Email:
Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.