The position is to be filled at the earliest possible date and offered for a fixed term of 12 months.
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 15,20 € per hour.
At the Learning on Graphs Lab, led by Prof. Dr. Christopher Morris at the Chair of Machine Learning and Reasoning at RWTH Aachen University, we are developing theoretical and practical approaches for machine learning on graphs. Machine learning on graphs is a relatively new field in machine learning that focuses on the structure of data and develops machine learning methods that automatically make predictions about properties of graphs. The work in our lab is characterized by always examining practical methods in terms of their theoretical properties. We are happy to work with interested and dedicated students on these problems.
Knowledge of LaTex Experience with the TikZ package for creating diagrams in LaTex Enjoy designing and creating scientific diagrams and content. Also a bachelor's degree and enrollment in a consecutive degree program.
Support for design and implementation of scientific diagrams and similar content for research and teaching. This means in particular:
- Conception of diagrams for research or teaching in consultation with the scientists responsible for the project
- support for implementation of the concepts in Tikz/LaTex for use in scientific articles, in lecture slides and on websites
- Development of a uniform design and uniform, barrier-free color palettes
If we have piqued your interest, please send us a short cover letter, a current CV, a Transcript of Records, and - if available - references to relevant software development projects you have done in the past, preferably in English and via email to luis.mueller[at]cs.rwth-aachen.de.
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 .
15,20 € per hour