Postdoc in LLM-based Decision Support for Multimodal Situation Awareness Systems Chalmers University of Technology in Sweden

This postdoctoral position at Chalmers University of Technology offers a unique opportunity to advance research in LLM-based decision support for multimodal situation awareness systems. The role is based in the Division of Computing Science, Department of Computer Science, a joint department with the University of Gothenburg, renowned for its internationally visible research and strong industry links. The research project focuses on developing a real-time decision-support platform for emergency response, integrating live sensor data from drones, wearable sensors, and thermal imaging with 3D digital twins of buildings. The aim is to generate a shared operational picture and provide prioritized, explainable recommendations to incident commanders during critical incidents.

As a postdoctoral researcher, you will lead the development and evaluation of an AI-based recommendation engine, addressing prioritization, uncertainty handling, and explainable decision support. You will design methods for representing and utilizing information from multiple sources to support operational recommendations, collaborate with project partners to integrate the engine into a larger platform, and test the system in realistic emergency response scenarios with end users and stakeholders. The position also includes publishing research results in peer-reviewed venues and dedicating 20% of your time to departmental duties, primarily teaching.

Applicants must hold a doctoral degree or equivalent by the time of employment decision, possess strong written and verbal English skills, and have a solid background in machine learning and AI. Experience in computer vision, recommendation systems, decision-support systems, explainable AI, or LLM-based reasoning is required, along with proficiency in Python and modern deep learning frameworks such as PyTorch. Additional experience with LLM-based systems, retrieval-augmented generation, agentic LLM workflows, real-time systems, digital twins, 3D spatial data, explainability and interpretability methods, and interdisciplinary research projects with industry partners will strengthen your application. Some teaching experience is expected.

The position is a full-time employment for two years, with the possibility of a one-year extension. Physical presence is required throughout the employment, and a valid residence permit must be presented by the start date. Chalmers offers a dynamic and inspiring working environment in Gothenburg, with generous employee benefits, including parental leave, subsidized day care, free schools, and healthcare. The university is committed to gender balance, equality, and inclusion, and offers Swedish courses for non-native speakers.

To apply, submit your application via the online form, including your CV, publication list, teaching experience, and a personal letter outlining your background, research outcomes, and future goals. All documents must be in English and PDF format. The deadline for applications is June 1, 2026. For questions, contact Assistant Professor Yinan Yu at [email protected].

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