STUDENT ASSISTANT – REQUIREMENTS ENGINEERING WITH FOKUS ON GENERATIVE AI (M/F/D)
- fortiss GmbH Jobportal
- fortiss GmbH
- Working student
- Code: RE-S-01-2025
Who are we?
In the research division Requirements Engineering (RE), we concentrate on developing practically relevant approaches to efficiently handle requirements in early, volatile, human-centered, and often data-dominated software development stages. We investigate practice-relevant RE research to reproducibly control and improve quality in environments that are often highly regulated, data-dominated, and user-centric. To this end, our research is driven by continuous experimentation, development, evaluation, and technology transfer. Our research activities place special emphasis on collaboration with relevant industries.
Your tasks
- Assistance with the research of current topics around requirements engineering and LLMs
- Development and extension of existing web resources for the demonstration and dissemination of research results
- Support in the analysis and evaluation of research data
- In the long run, assistance in the development of natural language processing tools for requirements engineering
Your profile
- You are open-minded and willing to take an active role in an interdisciplinary team
- You are a computer science or similar (e.g. Information Systems, Technology & Management) bachelor’s or master student
- You independly solve problems and perform research on your own
- You have knowledge and practical experience with contemporary development technologies
- Ideally, you have first experiences in natural language processing and / or the interest in continuously learning respective tools, techniques, and approaches
- Excellent communication skills in English, skills in German is a plus
Our offer
- Dynamic and team-oriented working atmosphere
- Gain research experience and develop personally and professionally
- Collaborate with industry and research institutions
- Freedom to bring in and develop your own ideas
- Opportunity to co-author research publications with senior colleagues
- Possibility to align your work with your studies and later write a supervised bachelor or master thesis
- Flexible working hours and cheerful colleagues
Did we catch your interest?
Contact:
Anton Luckhardt
- Ralf Kohlenhuber
- Human Resources Administrator
- Anton Luckhardt