Master Thesis in Large-Scale Labelling in Embedding Space
Aufgaben
- During your master thesis, you will explore the latest labelling approaches in embedding space, navigating the vast sea of knowledge and uncovering hidden gems.
- You will explore dimensionality reduction/projection techniques such as PCA, t-SNE, UMAP and pave the way for making high-dimensional embeddings accessible to humans.
- Last but not least, you will crack the code on incorporating text descriptions into the labelling process and unleash the power of words to get the labels you want.
Profil - Education: advanced Master studies in the field of Computer Science, Data Science or comparable with good grades
- Experience and Knowledge: intermediate coding skills in PyTorch, knowledge in hugging face ecosystem, Voxel51 as well as in streamlit
- Personality and Working Practice: open-minded, self-reflected and able to deal with complexity
- Languages: very good in English
- Education: advanced Master studies in the field of Computer Science, Data Science or comparable with good grades
- Experience and Knowledge: intermediate coding skills in PyTorch, knowledge in hugging face ecosystem, Voxel51 as well as in streamlit
- Personality and Working Practice: open-minded, self-reflected and able to deal with complexity
- Languages: very good in English
Kontakt & Wissenswertes
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job?
Sascha Wirges (Functional Department)
+49 172 7361654
#LI-DNI
Einblicke in unsere Arbeitswelt
Willkommen in Renningen
Unser Forschungscampus in Renningen bildet den internationalen Knotenpunkt unserer Bereiche Forschung und Vorausentwicklung, Cross-Domain Computing Solutions und Bosch Center for Artificial Intelligence. Mitarbeiter aus aller Welt arbeiten daran, Antworten auf die Fragen von Übermorgen zu finden. Damit sich die Ideen unserer Forscher optimal entfalten können, ist der Campus ein Netz der kurzen Wege zwischen Kommunikation und Inspiration, an dem der Kreativität keine Grenzen gesetzt sind. Wollen auch Sie die Zukunft gestalten? Wir freuen uns auf Ihre Neugier und Innovationsfreude.
