Du beteiligst dich an der Auswahl und Entwicklung von KI-Methoden sowie an der Koordination mit Projektpartnern.
Anforderungen
- •Studium in Informatik oder Ingenieurwesen
- •Erste Einblicke in AI und ML
- •Kenntnisse in Softwareentwicklung, bevorzugt Python, JavaScript
- •Interesse an künstlicher Intelligenz
- •Analytisches Denken und unabhängige Arbeitsweise
Deine Aufgaben
- •Beteilige dich an der Auswahl von KI-Methoden für die Datenanalyse
- •Unterstütze die Entwicklung von LLM-basierten Lösungen mit Benutzeroberfläche
- •Nimm an der Planung und Nachbereitung von Projektfristen teil
- •Koordiniere Anforderungen und Funktionen mit Projektpartnern
Deine Vorteile
Raum für Wissensanwendung
Praktische Erfahrung in KI-Forschung
Kollaboratives und unterstützendes Umfeld
Möglichkeiten zur Weiterentwicklung
Gleichberechtigte Zusammenarbeit
Flexible Arbeitszeiten
Kombination aus mobilem und vor Ort Arbeiten
Original Beschreibung
City:
Sankt Augustin
Date:
May 6, 2025
# Student Assistant KI-based developments
At Fraunhofer IAIS, 360 employees research and develop individual solutions for the integration and analysis of data for our funding bodies and our customers from the industry. Our work focuses on artificial intelligence, machine learning, big data, multimedia content analytics, information integration and enterprise modeling and analysis. The Enterprise Information Systems (EIS) department works on new, data-driven approaches and innovative solutions for current challenges. The spectrum ranges from basic research in scientific projects to the application of current research results for our customers. For example, we deal with Industry 4.0 technologies, design of experiments, data analysis, active learning, reinforcement learning and operations research. In order to make processes more stable and efficient, we always operate at the interface between research and business.
We are looking for you to support us in projects that leverage the power of large language models (LLMs) to create intelligent solutions for our stakeholders. We are looking for bright minds to help implement exciting use cases from research and industry. As a student assistant, you will work together with experienced scientists to plan experiments and analyze data.
You will gain exciting insights into the world of GenAI and its practical application. to perform only the experiments that are really relevant. In addition, you will be integrated into our Enterprise Information Systems (EIS) department and can work on your scientific qualification.
**What you will do**
* Learning participation in the selection and application of AI methods for data analysis
* Support in the development of LLM-based solutions, preferably with User Interface (UI)
* Participation in the preparation, implementation and follow-up of project deadlines
* Coordination of requirements and functionalities with project partners
**What you bring to the table**
* You are studying computer science, mathematics, engineering or in a related field.
* Ideally, you have already gained initial insights into AI and ML processes.
* You have knowledge and skills in software development, preferably Python, JavaScript.
* You are interested in the topic of artificial intelligence and desire to combine it with expert knowledge.
* An analytical way of thinking, an independent way of working, a high level of comprehension and good communication skills round off your profile.
**What you can expect**
* Space to apply and deepen your knowledge from your studies, as well as support in the scientific-practical qualification in your field of study
* Hands-on experience in cutting-edge AI research and development
* A collaborative and supportive environment
* Opportunities to grow and enhance your skills
* Collaboration on an equal footing and the opportunity to contribute your own ideas
* Flexible working hours - we know that studying comes first
* Combination of mobile and on-site work
The weekly working time is 12 - 20 hours. This position is initially limited to 1 year. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability and qualification. Remuneration according to the general works agreement for employing assistant staff.
**Job Segment:**
Data Analyst, R&D Engineer, User Experience, Computer Science, Data, Engineering, Technology, Research