#TRANSFORMINGTOMORROW: MAKE A DIFFERENCE WITH US.

IT:U offers up to four Tenure-Track or Full Professor Positions at the Intersection of Industrial Innovation and AI 

Shape the future with us as a

The disruption of industries by digital transformation is an ongoing phenomenon leveraged by the speed of development in data and computer sciences. Leaps in efficiency, quality, business and operating models are visible in every industry branch, some of them completely disrupted. These technologies will also be the key to resolving pressing issues like climate change, limited resources, aging populations, or global health challenges. Bridging Technologies in interdisciplinary approaches will transform Europe’s industry and secure its position in the industrial landscape over challenging times.  

To pursue these tasks in the best feasible way, the limited perspectives and technocentric thinking of legacy teams in industry and technology must be overcome and replaced by diverse teams joining the views of various backgrounds and attributes, such as heritage, gender, social environment, nationality or culture. Researchers in a diverse and interdisciplinary setting will be able to build collaborations and partnerships especially with industrial enterprises.

WE ARE LOOKING FOR YOU  

As applicants for a Professorship in Industrial Innovation and AI, we welcome outstanding researchers with excellent research and teaching experience who have demonstrated impact in innovative areas of Industrial Innovation and AI. The successful candidates will join a dynamic academic environment to lead research, foster collaboration, and contribute to teaching in fields critical to the future of industrial and technological advancement. 

The most critical attribute a future Professor in Industrial Innovation and AI will bring is a collaborative, interdisciplinary approach to academia, and the ambition to create real-life impact in the industry.  

Candidates can come from a wide range of academic backgrounds that are connected to Industrial Innovation and AI such as for example (this is a non-exhaustive list): 

• Computational Logistics and Internet of X 
  Digital transformation of Industrial Processes, Supply Chains, Industry-Related Mobility, Logistics, and Transportation, Internet of Things (IoT) or “Internet of Goods”  

• Digital Twin and Process Modeling 
  Hybrid Modeling, Virtual Prototyping, Physics-informed AI, Chemistry-informed AI, Predictive Maintenance, Simulation Technologies, or Applications to Health Sciences and Pharmaceuticals  

• Edge Computing and Tiny Machine Learning   
  Robotics and Automation, Innovative Interfaces for Industrial Processes, Neuromorphic Computing and Edge Devices  

• Sustainable Manufacturing 
  Sustainable Energy Systems, Energy-Efficient Computing, Circular Economy: Material Sciences, Chemistry, and AI-driven Product Design, Enablers and Barriers to Industry Digitalization  

• Agentic AI 
  AI-driven Agentic Workflow, Agentic AI Architecture, Social and Economic Simulations, Industry Automation Agents for Process Optimization, DataOps/ITOps/ServiceOps AI Agents  

• Responsible Innovation   
  Safe and responsible use of AI in innovation processes, Value-based engineering