CareerPlan

Akademische/-r Mitarbeiter/-in (w/m/d) im Bereich Wissens- und Technologietransfer - 371/2026

Potsdam, BRANDENBURGFull-time2026-10-15 → 2026-11-12

Core

Research and teach at the intersection of science, business, and society, focusing on systemic transfer barriers using AI-driven methods like text mining, LLMs, and agent-based simulations.

Role type

Academic researcher and lecturer (Technology Transfer)

Builds

Theoretical contributions to transfer systems and practical support for regional SMEs via the innoFSPEC Transfer Lab

Domain

Higher Education / Technology Transfer / Artificial Intelligence

Deliverable

research

Required skills

Text mining, LLMs, agent-based simulations, innovation management, technology management, entrepreneurship, academic teaching, project team mentoring

Preferred skills

Student group coordination, university teaching experience, understanding of SME digitalization challenges, proactive work style, generative AI application

Technologies

Text mining, LLMs, agent-based simulations, generative AI systems