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Professorship (W2) in Artificial Intelligence and Intelligent Systems (100%)

Sonstige • Senior • Remote • Vollzeit Deutschland Deutschland

W2 professorship in Artificial Intelligence and Intelligent Systems at a university of applied sciences currently undergoing state recognition, covering teaching, research, and program development.

Responsibilities

  • Contributing to the development of the Master's program in Neurorobotics and assisting in recruiting students
  • Conducting masterclasses and expert seminars on machine learning, decision-making models, adaptive systems, and AI-supported quality assurance in English
  • Providing academic guidance, mentoring, and support for student project and research work; designing and evaluating portfolio assessments, exams, and master's theses
  • Conducting practice-oriented research and transfer projects in AI, robotics, and autonomous systems in cooperation with industry, healthcare, mobility, international partners, and research institutions
  • Initiating research collaborations and acquiring third-party funding
  • Publishing research findings in academic journals and at conferences, representing the university at industry events
  • Participating in research-related product development, start-up ventures, and patent applications
  • Contributing to the university's academic self-governance and program development

Requirements

  • Completed university degree
  • Pedagogical-didactic aptitude confirmed through practical experience
  • Special aptitude for independent scholarly work, generally evidenced by an above-average doctorate in Computer Science, Mathematics, Physics, Engineering, or a related field
  • Special achievements in applying or developing scientific findings and methods over at least five years of professional practice

About the company

velpTEC is an education institute focused on innovative technologies. VTH is a private university of applied sciences currently undergoing state recognition through the Lower Saxony Ministry of Science and Culture, with a project-based, competency-oriented, practice-close teaching approach.

Languages: Angol: Felsőfok
Education: Egyetemi diploma, átlag feletti doktori fokozat informatika, matematika, fizika, mérnöki vagy kapcsolódó területen

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