Student Assistant (f/m/non-binary) – Development of an LLM-based assistant for exam preparation[...]

RWTH Aachen; Aachen; Vor Ort; Teilzeit

Zusammenfassung

A leading university in Germany is seeking a Student Assistant to develop an LLM-based assistant for exam preparation. Responsibilities include assisting with prompt engineering, developing user interfaces, and conducting user surveys. Candidates must be currently enrolled in university and have a background in machine learning and good English skills. This part-time position offers a pay of €14.50 per hour, and the contract is for 12 months, starting as soon as possible.

Leistungen

Good work-life balance

Access to health and sports services

Further training courses

Qualifikationen

• Experience in the research areas of machine learning and LLM, especially prompt engineering.
• Interest in AI applications is a plus.
• Fluent in English is necessary.

Aufgaben

• Assist with prompt engineering and integrate teaching materials.
• Help develop user interface for LLM interactions.
• Conduct user surveys and gather requirements.
• Test the LLM system in context of lectures.

Kenntnisse

Experience in machine learning and LLM

Interest in LLM jailbreaking

Good English skills

Ausbildung

Current studies at a university

Jobbeschreibung

Student Assistant (f/m/non-binary) – Development of an LLM-based assistant for exam preparation

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

• First experience in the research areas of machine learning and large language models (LLM), especially prompt engineering
• Interest in LLM jailbreaking and robustness is an advantage
• Good English skills are required
• Current studies at a university or university of applied sciences

Your Duties and Responsibilities

As part of this project, we are developing an LLM-based assistant for teaching and exam preparation. Dependingon the progress of the project and your qualifications, you may be assigned the following tasks:

• Assistance with prompt engineering and integration of teaching materials into the LLM context
• Helping with the development of a user interface for interaction with an LLM
• Conducting user surveys and gathering requirements
• Testing the system in the context of the lecture “AI in Music”

Please send your application with a short letter of motivation, CV and overview of your 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 initially 12 months.
This is a part-time contract position.
The standard weekly hours will be 8,5-19 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 14,50 € 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

Number V000010500

Application deadline 04/01/2026

Mailing Address

Mailing Address RWTH Aachen University
Chair of AI Methodology (Computer Science 14)
Kim Schrouff
Theaterstr. 35-39
52062 Aachen

Applicants are invited to submit their applications via email. For data protection reasons, however, we recommend sending applications via mail.