Chalmers is recruiting two Assistant Professors within two strategic areas of the Wallenberg AI, Autonomous Systems and Software Program (WASP) a) autonomous systems, and b) software.

Autonomous systems

The term “autonomous systems”, somewhat abstract, is used for autonomous artefacts and large-scale self-managing systems consisting of physical infrastructure and software that, together with humans, provide increased functionality, sustainability, and efficiency for society, e.g., self-driving vehicles, smart transportation systems, and cloud infrastructures. The recent technological progress has led to that those autonomous systems can be no longer separated from the environments in which they are embedded. Scientific and technological advances in the areas of data analytics, the Internet of Things, control and decision making, and in perception and sensing technologies are essential to the development of autonomous systems. Collaboration and interaction are other trends in the science of autonomous systems. Chalmers is one of the leading international centers in many areas that are fundamental for autonomous systems and their application,  for example computer vision and decision making for ADAS systems,  autonomous vehicles and life science engineering. The above-mentioned topics are only examples of relevant research areas within this field. We welcome applications even in topics not explicitly listed here.


Research in software technology and engineering in WASP covers both software engineering and software technology for the modelling, analysis, development, training, verification, and deployment of autonomous or AI and ML-based systems. Software engineering contains or utilizes autonomy, automation, AI, learning, or feedback, for example, experiment-driven development practices, self-reflection, self-adaptive software systems, self-repairing software, and automatic programming. Modern programming language research related to automation and AI include areas like high performance compiling and optimization to heterogeneous hardware (including AI accelerators and quantum hardware), probabilistic programming and hybrid euro-symbolic programming. The above-mentioned topics are only examples of relevant research areas within this field. We welcome applications even in topics not explicitly listed here.

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