- Develop novel image generation algorithms that prioritize fairness and mitigate biases across various demographic groups
- Investigate and implement techniques from machine learning, computer vision, and fairness-aware AI to ensure equitable representation and treatment in generated images
- Collaborate with interdisciplinary teams to integrate ethical considerations and societal implications into the development process, fostering responsible AI innovation
- Publish research findings in top-tier conferences and journals, contributing to the advancement of fairness-aware AI and promoting transparency and accountability in AI model development
- Collaborate in preparing funding applications, supervise theses, and support the professorship's research and teaching endeavors
- Master's degree in computer science, machine learning, or a related field, with a solid understanding of deep learning principles and techniques
- Experience in developing and implementing machine learning algorithms, particularly in the domains of image generation using diffusion models or computer vision
- Familiarity with fairness-aware AI concepts and techniques, such as bias mitigation strategies, fairness metrics, and ethical considerations in AI
- Outstanding programming skills in languages commonly used in AI research ( Python) and proficiency with relevant libraries/frameworks ( TensorFlow, PyTorch)
- Effective communication skills and the ability to work collaboratively in interdisciplinary teams, with a passion for addressing societal challenges through innovative AI research
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Doctoral Candidate Computer Vision for ethical AI image generation - Ingolstadt, Deutschland - Technische Hochschule Ingolstadt
Beschreibung
Be part of our team
Doctoral Candidate (m/f/d) Computer Vision for ethical AI image generation
in the institute AImotion
Autonomous driving? Unmanned flying? Digital production? The AI mobility hub Ingolstadt AImotion Bavaria is dedicated to this research focal points. Become part of the team and change the future of AI-based mobility with us For more information, please visit
Your tasks
Your profile
Contact
ANR 1538 please feel free to contact
Milena Porsch
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