Professor for AI-Driven Business Innovation (m/f/d)

Global University Systems GmbH; Potsdam; On-site; EUR 60,000 - 90,000; Full time

Job summary

Global University Systems GmbH's Gisma University of Applied Sciences invites applications for a professorship focusing on AI Management, Digital Transformation and Entrepreneurial Innovation. You will shape curricula, lead AI-centric programmes, and collaborate with industry and research partners.

We seek a doctorate holder with a strong publication record, proven university teaching in blended/online formats, fluency in English, and experience in curriculum development and accreditation.

Qualifications

• Completed university studies in a relevant discipline such as Business Information Systems, Innovation Management, Computer Science with a Business focus, or Digital Economy.
• Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or a strong record of high-impact, peer-reviewed publications.
• A minimum of three years of qualified professional experience, including at least two years outside a university environment, gained after a master's degree or equivalent.
• Proven university-level teaching experience, with competence in blended, online, and interactive learning methodologies. Student evaluations should reflect excellent pedagogical aptitude.
• A strong affinity for cutting-edge AI applications, prompt engineering, and the commercialization of machine learning.
• Fluency in English for teaching and research purposes; international academic or industry experience is highly valued.
• A publication record in fields such as Digital Innovation, Technology Management, or Applied AI.
• Experience in developing and leading research projects, ideally with success in acquiring third party funding.
• Innovative perspectives for advancing research and curriculum in AI-Driven Business Innovation.
• Experience in curriculum development and accreditation processes is an asset.

Responsibilities

• Module responsibility and teaching of Gisma's Bachelor and Master programmes, particularly in Artificial Intelligence in Business, Digital Innovation Management, AI Strategy, and related areas, as well as examination, assessments, and student supervision.
• Active participation in programme development, quality assurance, and the integration of applied AI tools and methodologies into the curriculum.
• Design and continuous update of contemporary teaching and learning materials aligned with developments in algorithmic business, AI ethics, and data-led venture creation.
• Initiate, expand, and maintain cooperation with partners in industry and research organisations, particularly in Tech Hubs, AI startups, and digital transformation consultancy environments.
• Participation in national and international accreditation procedures, as required.
• Active engagement in academic administration and committee work.
• Further development of a personal and institutional research profile in Business AI, Innovative Technology Adoption, or Digital Ecosystems, publication of results in high-quality journals, and engagement in public dissemination.
• Support outreach activities, including student recruitment events and promotion of AI-driven business study pathways.

Skills

English for teaching

Research ability

Curriculum development

Team collaboration

Education

Doctorate

Master's degree or equivalent

Post-master experience (3+ yrs)

Job description

Your Responsibilities

The opportunity: The purpose of this position is to contribute to the academic excellence and strategic development of Gisma University of Applied Sciences through high-quality teaching, impactful research, and active participation within the academic community. The successful candidate will be instrumental in shaping and delivering innovative programmes in AI Management, Digital Transformation, and Entrepreneurial Innovation, with a focus on integrating Generative AI, automation strategies, and disruptive business models into the curriculum. This role offers a unique opportunity to engage with an international student body, collaborate with industry and research partners, and influence the evolution of AI-centric business education in a dynamic, interdisciplinary environment. Key Activities & Responsibilities:

• Module responsibility and teaching of Gisma's Bachelor and Master programmes, particularly in the fields of Artificial Intelligence in Business, Digital Innovation Management, AI Strategy, and related areas, as well as examination, assessments, and student supervision.
• Active participation in programme development, quality assurance, and the integration of applied AI tools and methodologies into the curriculum.
• Design and continuous update of contemporary teaching and learning materials aligned with developments in algorithmic business, AI ethics, and data-led venture creation.
• Initiate, expand, and maintain cooperation with partners in industry and research organisations, particularly in Tech Hubs, AI startups, and digital transformation consultancy environments.
• Participation in national and international accreditation procedures, as required.
• Active engagement in academic administration and committee work.
• Further development of a personal and institutional research profile in Business AI, Innovative Technology Adoption, or Digital Ecosystems, publication of results in high-quality journals, and engagement in public dissemination.
• Support outreach activities, including student recruitment events and promotion of AI-driven business study pathways.

Your profile

For an appointment, you must fulfil all requirements according to Section 41 ff of the Brandenburg Higher Education Act (BbgHG). See the following link: §41 ff. BbgHG. In addition, you demonstrate:

• Completed university studies in a relevant discipline such as Business Information Systems, Innovation Management, Computer Science with a Business focus, or Digital Economy.
• Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or a strong record of high-impact, peer-reviewed publications.
• A minimum of three years of qualified professional experience, including at least two years outside a university environment, gained after a master's degree or equivalent.
• Proven university-level teaching experience, with competence in blended, online, and interactive learning methodologies. Student evaluations should reflect excellent pedagogical aptitude.
• A strong affinity for cutting-edge AI applications, prompt engineering, and the commercialization of machine learning.
• Fluency in English for teaching and research purposes; international academic or industry experience is highly valued.
• A publication record in fields such as Digital Innovation, Technology Management, or Applied AI.
• Experience in developing and leading research projects, ideally with success in acquiring third party funding.
• Innovative perspectives for advancing research and curriculum in AI-Driven Business Innovation.
• Experience in curriculum development and accreditation processes is an asset.

Why us?

• The opportunity to work with a great team in a dynamic and international culture
• The opportunity to play a leading role in launching new campus-wide initiatives and academic events as part of our strategic growth
• The opportunity to develop and implement new ideas and concepts that will contribute to the development and reputation of the institution.
• Continuous support for your personal and professional development.
• As a rapidly growing institution, the University values the contributions of its faculty and recognises that sustained engagement, performance, and scholarly activity are integral to advancing the institution’s strategic objectives and shaping its future academic direction

As an employer, we are committed to equal opportunity and support for minorities. We do not discriminate based on ethnic origin, skin colour, religion, sexual orientation, gender identity, national origin, disability or legally protected status