4 embedded PhD positions at Tallinn University of Technology

PhD student in developing edge AI model for multilayer electrospinning process control

Tallinn University of Technology | Estonia | about 2 months ago

minimally capable of running on the edge, ideally of running on power-efficient embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning

PhD position, Large Language Models for Safety Validation of End-to-End Automated Driving Systems

Tallinn University of Technology | Estonia | 20 days ago

of E2E models. By embedding knowledge of traffic rules, environmental factors, and human driver behaviors into generated scenarios, the approach will provide a scalable and explainable method to test the

PhD candidate in Developing Edge AI Model for Multilayer Electrospinning Process Control

Tallinn University of Technology | Estonia | 20 days ago

embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning. The project is part of Estonian Research Council project PSG897 “Cogni-E-spin

PhD position, Development of digital tools and Life Cycle Assessment (LCA) models for modelling and resource optimization in the built environment

Tallinn University of Technology | Estonia | 20 days ago

, the candidate will configure models in openLCA that corre- spond to individual building components, linking each component to unit processes under ISO 14040 and ISO 14044 guidelines, and embedding sensitivity