Professorship W2 in Artificial Intelligence, Intelligent Systems

This is a fully remote position, open to applicants in Germany.

📋 Description

• Contribute to the advancement of the Master's program in Neurorobotics while assisting with student recruitment efforts.

• Conduct Master classes and expert seminars in English focusing on machine learning, decision models, adaptive systems, and AI-supported quality assurance.

• Provide academic supervision, mentoring, and support for project and research initiatives; design and assess portfolio evaluations, examinations, and Master's theses.

• Execute practice-oriented research and transfer projects in AI, robotics, and autonomous systems in collaboration with industry, healthcare, mobility partners, international collaborators, and research institutions.

• Initiate research partnerships and secure third-party funding to enhance applied research at our university.

• Publish research findings in academic journals and present at relevant conferences; represent the university at expert discussions and industry events.

• Be prepared to engage in research-related product development, founding/start-up initiatives, and patent applications.

• Involve yourself in the academic self-governance of the university, support the ongoing development of degree programs, and participate in international collaborations.

⛳️ Requirements

• A completed university degree.

• Proven pedagogical and didactic skills, demonstrated through practical experience.

• Strong aptitude for independent scholarly work, typically evidenced by an above-average doctorate in computer science, mathematics, physics, engineering, or related disciplines.

• Significant accomplishments in the application or development of scientific knowledge and methods, with a minimum of five years of professional experience, including at least three years outside the higher education sector — ideally in artificial intelligence, machine learning, robotics, or data science.

• Capability and willingness to conduct teaching, research, and transfer activities in English.

• Readiness to develop and enhance higher education teaching skills, particularly in (generative) AI-supported education.

• An innovative teaching approach: eagerness to create and implement new didactic formats in education.

• Interdisciplinary openness: readiness to collaborate with colleagues in robotics, neuroscience, additive manufacturing, and digital business.

• Practice- and transfer-oriented: proven experience in applying AI technologies in real-world settings such as industry, healthcare, or mobility.

• International perspective: experience in global contexts or the desire to integrate worldwide developments in AI and intelligent systems into teaching and research.

• Commitment to institutional development: willingness to actively contribute to the establishment and growth of a new university.

• Research profile: a discernible focus on research in deep learning, reinforcement learning, intelligent control systems, or AI-driven sensor technologies.

• Knowledge and technology transfer: recognition of research as a connection between science, industry, and society.

🏝️ Benefits

• The chance to influence the development of a new university and its programs from the beginning.

• A professorship that emphasizes teaching, quality assurance, and applied research.

• Opportunities for interdisciplinary collaboration with colleagues in robotics, blockchain, additive manufacturing, and technology management.

• Access to modern digital infrastructure and an innovative environment free from outdated structures.

• Collaboration with the Teaching Competence Center at FAU Erlangen-Nürnberg to enhance teaching skills in higher education.

• Fully remote work within Germany or hybrid options from our offices in Hanover, Munich, or Leipzig.

• Flexible working hours coordinated within your team (no weekend work) — accommodating personal commitments like doctor appointments and childcare.

• 15% employer contribution to your company pension scheme.

• Three paid training days per year for professional development plus one additional day of annual leave for volunteer work.

• Access to over 13,000 fitness and wellness facilities through EGYM Wellpass.

• Regular team events and shared experiences.

• Significant autonomy, diverse tasks, and a culture that encourages new ideas and innovation.