[Hiring] Professorship in Artificial Intelligence and Intelligent Systems @velpTEC edutainment

Role Description

• Program development: Contributing to the development of the Master's program in Neurorobotics, and assisting in recruiting students.
• Masterclasses and expert seminars: Conducting live sessions on machine learning, decision-making models, adaptive systems, and AI-supported quality assurance in English.
• Student supervision and examination formats: Providing academic guidance, mentoring, and support for project and research work; designing and evaluating portfolio assessments, exams, and master's theses.
• Applied research: Conducting practice-oriented research and transfer projects in the areas of AI, robotics, and autonomous systems – in cooperation with industry, healthcare, mobility, international partners, and research institutions.
• Funding and cooperation: Initiating research collaborations and acquiring third-party funding to strengthen applied research at our university.
• Publications and presentations: Publishing research findings in academic journals and at relevant conferences, as well as representing the university at specialist presentations and industry events.
• Transfer: Willingness to participate in research-related product developments, founding/start-up ventures, and patent applications.
• University development: Contributing to the university's academic self-governance, helping to further develop the range of study programs, and participating in international collaboration.

Qualifications

• A completed university degree.
• Pedagogical-didactic aptitude confirmed through practical experience.
• Special aptitude for in-depth independent scholarly work, generally evidenced by an above-average doctorate in the fields of Computer Science, Mathematics, Physics, Engineering, or related fields.
• Special achievements in the application or development of scientific findings and methods over at least five years of professional practice, of which at least three years must have been carried out outside the higher education sector – preferably in artificial intelligence, machine learning, robotics, or data science.
• The ability and willingness to conduct teaching, research, and transfer activities in English.
• Willingness to develop and further build higher education teaching competencies – particularly in (generative) AI-supported teaching.

Requirements

• Innovative spirit in teaching: Motivation to develop and apply new didactic formats in AI and intelligent system education.
• Interdisciplinary openness: Readiness to collaborate with colleagues in robotics, neuroscience, additive manufacturing, and digital business.
• Practice and transfer orientation: Proven experience in applying AI technologies in real-world contexts such as industry, healthcare, or mobility.
• International perspective: Experience in international contexts or motivation to integrate global developments in AI and intelligent systems into teaching and research.
• Commitment to institutional development: Willingness to actively shape the foundation and growth of a new university.
• Research profile: A visible research focus in deep learning, reinforcement learning, intelligent control systems, or AI-driven sensor technologies.
• Knowledge and technology transfer: Understanding research as a bridge between science, industry, and society.

Benefits

• The opportunity to shape the development of a new university and its programmes right from its foundation.
• A professorship with a clear focus on teaching, quality assurance, and applied research.
• Interdisciplinary collaboration with colleagues in robotics, blockchain, additive manufacturing, and technology management.
• Modern digital infrastructure and an innovative environment without outdated structures.
• Collaboration with the Center for Higher Education Teaching (Kompetenzzentrum Lehre) at FAU Erlangen-Nürnberg on the development of higher education teaching competencies.
• Fully remote in Germany or hybrid work from one of our offices in Hanover, Munich, or Leipzig.
• Flexible working hours coordinated within your team (no weekend work) – doctor's appointments, childcare, and other important commitments are easy to accommodate.
• 15% employer contribution to your company pension plan.
• 3 paid Educational Days per year for professional development + 1 additional day of annual leave for volunteer work.
• Access to 13,000+ fitness and wellness facilities through EGYM Wellpass.
• Regular team events and shared experiences.
• Plenty of autonomy, varied responsibilities, and a culture that encourages new ideas and innovation.