Professor (m/f/d) for People Analytics and Strategic HR Innovation

Stellenbeschreibung:

Professor (m/f/d) for People Analytics and Strategic HR Innovation

Potsdam, Berlin

Full-time

Fixed-term

Your Responsibilities

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 HR Analytics, Strategic Talent Management, and Work Innovation, with a focus on integrating data‑driven workforce planning, digital employee experience platforms, and organisational network analysis into the curriculum.

Key Activities & Responsibilities:

  • Module responsibility and teaching of Gisma’s Bachelor and Master programmes, particularly in the fields of People Analytics, Strategic Human Resource Management, HR Technology & Innovation, Workplace Transformation, and data‑driven workforce planning, as well as examination, assessments, and student supervision.
  • Active participation in programme development, quality assurance, and the integration of relevant applied tools and methodologies into the curriculum.
  • Design and continuous update of contemporary teaching and learning materials aligned with advancements in the sector.
  • Initiate, expand, and maintain cooperation with partners in industry and research organisations, particularly in HR tech startups, modern corporate people operations teams, organisational design consultancies, and workforce analytics provider spaces.
  • 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 People Analytics Impact, Strategic HR Innovation, Digital Transformation of Work, or Organisational Network Analysis, publication of results in high‑quality journals, and engagement in public dissemination.
  • Support outreach activities, including student recruitment events and promotion of related business study pathways.

Your profile

  • Completed university studies in a relevant discipline such as Human Resource Management, Industrial‑Organisational Psychology, Business Analytics with an HR focus, or Sociology with a quantitative work focus.
  • 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 methodologies, software, and tools, specifically related to HR Information Systems (HRIS), data analytics visualisation tools (e.g., Tableau/PowerBI for HR), and workforce modelling software.
  • Fluency in English for teaching and research purposes; international academic or industry experience is highly valued.
  • A publication record in fields matching the professorship scope or relevant digital ecosystems.
  • Experience in developing and leading research projects, ideally with success in acquiring third‑party funding.
  • Innovative perspectives for advancing research and curriculum in the specified professorship domain.
  • Experience in curriculum development and accreditation processes is an asset.

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.

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Potsdam
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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