Student assistant (m/w/d)- Supporting the EU SoliDAIR project

Announcement for fields of study such as: Computer science or comparable. Image preprocessing and analysis for vision-based machine learning pipelines, including involvement in the pipeline development-

We are looking for a student to support the EU SoliDAIR project for at least one year. The current task involves optimizing an image classification model with highly imbalanced datasets for deployment in a partner’s production system. The project includes implementing explainable AI tools under development. Key challenges are class imbalance and data scarcity, which will be mitigated through synthetic data generation.

What you will do

The candidate should be eager to learn new skills. Responsibilities include data preprocessing (in any preferred language or Python), model performance analysis (including visualization), and documentation of methods and results.

What you bring to the table

Strong Python skills; knowledge of PyTorch is a plus. Familiarity with C++ or Rust makes transitioning to Python easy.

What you can expect

This project provides insight into handling data imbalance and scarcity in image analysis with deep learning, commonly encountered in industrial applications. Additionally, you will gain experience to explainable AI, a critical tool for understanding deep learning model behavior, and gain hands-on experience in deep learning model deployment. 

The weekly working time is 39 hours. This position is also available on a part-time basis. 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. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Interested? Apply online now. We look forward to getting to know you!
 

Frau Lisa Bauer
Recruiting
lisa.bauer@ipa.fraunhofer.de

Fraunhofer Institute for Manufacturing Engineering and Automation IPA 

www.ipa.fraunhofer.de 

Requisition Number: 76534                Application Deadline: