This PhD position is part of the MSCA-DN ISAC-NEWTON project, hosted by Silicon Austria Labs, and includes enrolment on the Doctoral Program at Technische Universität Wien.

We are inviting applications for a PhD position focused on developing high-accuracy predictive algorithms and situational awareness strategies for indoor industrial environments. The research will involve exploring the combined use of real-time sensing data and communication signals to improve operational capabilities such as precise localisation, obstacle detection and avoidance, and robust predictive modelling using advanced machine learning techniques.
A central objective of the project is to predict the future behaviour of communication systems in dynamic industrial environments and integrate these insights into a digital twin framework. Fusing real-time sensor data with current network conditions will enable the digital twin to make anticipatory decisions, allowing for the early detection of potential connectivity issues, proactive adjustments to path or speed, and the real-time optimisation of system performance.
The outcomes of this research are expected to contribute significantly to the development of reliable, intelligent and adaptive automation solutions for industrial environments operating with 6G technology.