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Assistant Professor in Multimodal Generative AI

1 maand geleden

Maastricht, Limburg, Nederland Maastricht University Voltijd
Job Description

We are seeking a highly skilled researcher to join our team as an Assistant Professor in Multimodal Generative AI. The successful candidate will have a strong background in artificial intelligence, machine learning, and computer vision, with a focus on multimodal systems.

The ideal candidate will have a proven track record of research and teaching in machine learning and natural language processing, with experience in funding acquisition and effective communication skills. They will be responsible for contributing to our research initiatives on multimodal generative AI, developing new research projects, and collaborating with colleagues to advance our understanding of multimodal systems.

Key Responsibilities:

  • Conduct research in multimodal generative AI, with a focus on deep learning, natural language processing, and computer vision.
  • Develop and teach courses in machine learning and natural language processing.
  • Acquire research funding and collaborate with colleagues to advance our understanding of multimodal systems.
  • Contribute to the development of new research projects and initiatives.

Requirements:

  • PhD degree in Artificial Intelligence or a related field.
  • 2+ years of experience in an academic environment post-PhD.
  • Proven track record of research and teaching in machine learning and natural language processing.
  • Experience in funding acquisition and effective communication skills.

What We Offer:

  • Good employment conditions, including a competitive salary and benefits package.
  • Opportunities for professional development and growth.
  • A dynamic and collaborative work environment.

About Maastricht University:

Maastricht University is a leading international university located in the beautiful city of Maastricht, Netherlands. We are committed to promoting and nurturing a diverse and inclusive community, and we strive to enable this through inclusive policies and innovative projects led by teams of staff and students.