Postdoctoral Fellowship (04) at Dresden University of Technology (TUD), Germany

Contribution to the ERC Synergy Grant “POCOCOP (Polynomial-time computation: opening the black boxes in constraint problems)”. This includes the systematic exploration of polynomial-time tractability in the field of constraint satisfaction and its extensions, in particular promise CSPs, valued CSPs, and CSPs over infinite domains. The work is embedded in a larger research team and involves exchange visits with the partner universities in Prague and Vienna.

• conducting scientific research in one of the research areas of the Institute of Analysis
• planning and teaching courses in the field of mathematics (for mathematics degree programs and non-mathematical degree courses), including contributing to the further development of teaching concepts and the use of digital/hybrid teaching formats
• participating in tasks related to the organization of the institute (in particular concerning the organization, coordination, administration and marking of examinations as well as student support and web content)
• taking part in tasks of academic self-administration

The successful candidate will independently take responsibility for parts of the work within the EU project SENSEI (Societal-ready safe and transparent human-technology interactions for the automated mobility ecosystem).

The project develops adaptive and transparent human–machine interactions for automated driving (Level 2–3) that adapt to different drivers and enhance both safety and comprehensibility. User-centered interfaces and personalized training methods are validated through simulations as well as real-world tests in several European countries. The aim of the project is to reduce misuse and uncertainty and to make the use of automated driving functions safer and more reliable.

Within the professorship, this includes, among other tasks, analyzing the requirements of different user groups with respect to driver assistance and automation systems, and identifying typical situations in which distraction or misuse occurs. Based on this, an evaluation framework will be developed using criteria such as safety, trust, and usability, along with methods for the systematic assessment of the proposed solutions.

Another key focus is the (co-)development of a scalable training concept that prepares drivers for the safe and effective use of assistance and automation systems. This includes a digital training assistant that supports system use in the vehicle and is further developed based on user testing. Training concepts and assistance systems are tested and evaluated in various application scenarios in order to continuously improve their effectiveness.

The successful candidate will work on the described tasks in close collaboration with other members of the professorship. The project is carried out in cooperation with various institutions across the EU. Sub-studies may also be conducted on-site at European partner institutions as part of the project.