RWTH Institution/Unit

Student Assistant (f/m/non-binary) – Development of an open-source library for automated time series representation learning Chair of AI Methodology (Computer Science 14) Our Profile The Chair for Artificial Intelligence Methodology (AIM), headed by Alexander-von-Humboldt Professor Holger H. Hoos, conducts world-leading research and development of methods in human-centred artificial intelligence (AI) and their broad use for the benefit of society and humanity ("AI for all" and "AI for good"). In addition to research on the technical foundations of AI, particularly on topics in machine learning, automated reasoning and optimisation, our work focuses on AI applications in the fields of medicine and health, climate, music and art.

Your Profile

Good understanding of the basics of time series analysis Basic knowledge of Python deep learning frameworks, specifically PyTorch and Lightning Basic familiarity with AutoML concepts and frameworks Current studies at a university or university of applied sciences Your Duties and Responsibilities Assist in implementing suitable AutoML techniques and methods in the TSRC framework to automate both the curriculum design and the selection of student and teacher models Assist in refactoring the current research code to a production-ready, modular code Participate in packaging the AutoTSRC library into a standard package and publish it to PyPI and Conda Please send your application with a short letter of motivation, CV and transcripts for all completed academic achievements preferably by email to the email address below.

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 6 months. This is a part-time contract position. The standard weekly hours will be 8-9 hours.

The salary is based on the RWTH Guidelines for Student and Graduate Assistants. The position corresponds to a pay grade of 14.50 euros 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 . Application Number Number V Application deadline 01/02/2026 Mailing Address Mailing Address RWTH Aachen UniversityChair of AI Methodology (Computer Science 14)Wadie SkafTheaterstr. 35-3952062 AachenApplicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail. #J-18808-Ljbffr