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职位信息
Title: Postdoc In Automated Machine Learning for Safe AI
Employer: Eindhoven University of Technology
Location: De Zaale Eindhoven, The Netherlands
Published: 2024-12-06
Application deadline: 2024-12-22
Job type: Postdoc
Field: Artificial Intelligence, Computer Communications (Networks), Computational Sciences, Machine Learning
Join us to create truly open AI! We're seeking a talented research scientist to help make AI safe, interpretable, and accessible to all. Work with top researchers to build a next-gen system blending LLMs and AutoML, empowering users to create safe models through natural language. Apply now!
Artificial Intelligence could be one of humanity’s most useful inventions, as long as it is safe and open to all. We are building an exciting new platform to help people build performant and safe AI models through natural language interaction. This mission will combine automated machine learning with agentic systems to design machine learning models for a wide range of use cases, interactively and according to user goals, while continually evaluating AI safety and explainability.
The Automated Machine Learning team at TU Eindhoven focusses on cutting-edge research to advance the capabilities of machine learning models, while also democratizing AI and leveraging it to help humanity. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems that learn continually and automatically assemble themselves to learn faster and better. In addition to producing highly-cited research published at top academic venues, we build models and systems that are widely used by people every day. You will also be part of a larger team with experts across Europe.
We are seeking a passionate and talented Research Scientist to lead the development of an AutoML platform that integrates cutting-edge machine learning techniques with natural language interfaces. You will work closely with an exceptional team of engineers and researchers to design a system that makes AI more accessible, impactful, and responsible.
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@留德华叫兽：系美国Clemson大学数学硕士(运筹学方向)、Ph.D. candidate，欧盟玛丽居里学者，德国海德堡大学数学博士(离散优化、图像处理)，读博期间前往意大利博洛尼亚大学、IBM实习半年，巴黎综合理工访问一季。现任德国无人驾驶资深研发工程师。
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