Job
- Level
- Junior
- Ort
- Stuttgart
- Arbeitsmodell
- Onsite
- Job Feld
- Data
- Anstellung
- Teilzeit
- Vertragsart
- Befristetes Dienstverhältnis
Job Zusammenfassung
In dieser Rolle entwickelst du neuartige Tensor-Netzwerkalgorithmen für maschinelles Lernen, führst Experimente durch und analysierst deren Leistung, um innovative Forschungsfragen zu beantworten.
Job Technologien
Deine Rolle im Team
- You develop and evaluate novel tensor network algorithms for machine learning and data analysis applications.
- You investigate and implement advanced approaches such as tensor density estimation and tensor-based learning methods.
- You analyze research questions, design experiments, and assess the performance of newly developed methods.
- You work closely with our researchers to advance the state of the art in tensor network and quantum-inspired machine learning.
- You contribute to scientific publications and present research results to the international research community.
Unsere Erwartungen an dich
Qualifikationen
- You are an enrolled student in Computer Science, Artificial Intelligence, Data Science, Mathematics, Physics, or a related field.
- You have a solid understanding of linear algebra and feel comfortable applying its concepts to solve practical problems.
- You have a basic understanding of machine learning concepts and can explain and work with fundamental methods such as linear regression.
- You have good English skills, German is an advantage but not required.
- You are highly motivated to learn, enjoy diving deep into technical topics, and have a genuine curiosity for understanding how things work.
Erfahrung
- You are comfortable programming in Python and have hands-on experience with PyTorch, including implementing and adapting neural network models.
Unser Angebot
- You can expect challenging and varied tasks in an innovative research environment.
- We also offer you insights into application-oriented research and current, innovative topics.
- A pleasant working atmosphere in a motivated team.
- Equal opportunities, accessibility, and diversity.
- Responsible tasks that will help you develop your skills.
- State-of-the-art technology and working environment.
- Flexible working time models.
- Transparent and fair remuneration.
- Connection to our student network.
- Sports facilities at the University of Stuttgart.
- The monthly working time are 40 hours.
- The position is initially limited to one year.
- Longer-term employment is desirable.
- Remuneration according to the general works agreement for employing assistant staff.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
Die Forschungsfelder von Fraunhofer richten sich nach den Bedürfnissen der Menschen: Gesundheit, Sicherheit, Kommunikation, Mobilität, Energie und Umwelt. Wir sind kreativ und gestalten Technik mit Sinn für die Zukunft. Dabei entwerfen wir Produkte und verbessern Verfahren – stets mit dem Ziel, neue Wege zu eröffnen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Arbeitgeber-Reviews
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(1 Bewertung)3.5
Engineering
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Student Assistant for applied Machine Learning
- Ort
- Stuttgart
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
