Public summary
A leading technology company in Germany is offering a PhD position focused on cutting-edge research in advanced generative models to improve data efficiency for AI systems. The role involves developing novel deep generative models to simulate real-world scenarios, enhancing AI training and validation processes. Candidates will collaborate with experts in deep learning and computer vision within an interdisciplinary and international team. Excellent English language and academic writing skills are required.
Location and work setup
- Location
- Renningen
- Remote status
- On-site
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Develop novel deep generative models such as diffusion models to serve as data sources for training and validating AI models; collaborate with experts in deep learning and computer vision to brainstorm and develop innovative ideas; aim to publish research findings in top-tier journals and conferences; contribute to creating methodologies enabling generative models to simulate real-world data for closed-loop AI applications.
Qualifications
Excellent degree in Computer Science or related field with focus on Computer Vision and Deep Learning; strong background in deep learning and computer vision; proficiency with deep learning frameworks like TensorFlow or PyTorch; strong programming skills in Python; knowledge or experience in deep generative modeling and foundation models is a plus; experience publishing peer-reviewed research papers is beneficial; highly motivated to work in interdisciplinary and international research teams; very good English skills and academic writing capabilities.