Student Assistant (m/f/d) - Data Science & Machine Learning Projects (Domai
at FraunhoferInstitut fr Integrierte Schaltungen IIS
München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 30 Jan, 2025 | Not Specified | 31 Oct, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.
The »Analytics« department at the »Center for Applied Research on Supply Chain Services« at Fraunhofer Institute for Integrated Circuits IIS develops new methods and processes for application-oriented data analytics and AI. You would be applying to the »Data Efficient Automated Learning« group located in Munich, which has a strong focus on Machine Learning (ML) and its applications. We focus on reducing the high cost of annotating large amounts of data (Data Efficiency) and the high manual configuration effort associated with ML development (Automated Learning).
Are you interested in combining research with practice and advancing your skills in the field of Artificial Intelligence (AI) and Machine Learning?
Responsibilities:
- You will mainly support our team with research projects in fields such as Object Detection, Domain Adaptation, Transfer Learning
- You will conduct new research and summarize existing research or scientific writings
- You will work on the development and maintenance of an extensible ML pipeline within a collaborative software team (e.g., training, validating, and deploying ML models)
- You will perform classical data science tasks such as data exploration, data cleaning, data analysis and visualization
- You will assist with administrative tasks (client presentations, documentation
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Statistics computer science or data science mathematics or a comparable field
Proficient
1
München, Germany