Yinan Yu

Chalmers University of Technology is advertising a postdoctoral researcher position in LLM-based Decision Support for Multimodal Situation Awareness Systems at the Division of Computing Science, Department of Computer Science and Engineering . The project focuses on building an AI-based recommendation engine for real-time emergency response . The research will combine live sensor data from drones, wearable sensors, and thermal imaging with 3D digital twins of buildings to support explainable and actionable decision-making for emergency commanders. This opportunity is especially relevant for candidates with backgrounds in machine learning , artificial intelligence , LLM-based reasoning , computer vision , knowledge graphs , recommendation systems , decision-support systems , and digital twins . Applicants do not need expertise in every area, but should have strong experience in some of them and be motivated by practical, high-impact societal applications. The position is full-time and onsite in Gothenburg, Sweden , with a preferred start as soon as possible. The application deadline is 2026-06-01 . Apply via the linked vacancy/application page and follow the instructions on the Chalmers recruitment portal.

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]. Chalmers University of Technology is a leading institution in technology and natural sciences, fostering innovation and collaboration for a sustainable world. Join us to contribute to impactful research and advance your career in academia, industry, or the public sector.

Chalmers University of Technology invites applications for a postdoctoral position in LLM Agents for Research Automation, based at the Division of Computing Science, Department of Computer Science and Engineering. This research opportunity is embedded within AIXLab ( www.usableai.se ), a collaborative environment dedicated to advancing usable, reliable, and impactful AI systems. The project focuses on developing next-generation LLM agents to support deep learning research, model development, and code generation, aiming to accelerate research and innovation in both academic and industrial settings. The Department of Computer Science and Engineering, a joint department of Chalmers and the University of Gothenburg, is internationally recognized for its research excellence and strong industry links. The Division of Computing Science advances secure and trustworthy software and systems, spanning programming languages, tools, and practical methods for dependable digital infrastructures. AIXLab develops methods and tools for deep learning, foundation models, LLM agents, automated machine learning, and AI-enabled software engineering, with a strong emphasis on practical evaluation and industry collaboration. Application areas include software development, automotive, healthcare, accessibility, sustainability, and industrial AI. The research project investigates LLM agents for autoresearch, focusing on supporting deep learning research and software development workflows. The goal is to create agentic AI systems that assist researchers and developers in hypothesis formulation, experiment design, model implementation, code generation and revision, debugging, result analysis, research knowledge management, and reproducibility improvement. The project covers the full lifecycle of technical research and development, from idea generation and literature exploration to model implementation, prototyping, testing, evaluation, and documentation. Developed methods and prototypes will be evaluated with industrial partners to ensure practical relevance and robustness. Requirements: Applicants must hold a doctoral degree in computer science, artificial intelligence, machine learning, or a closely related field by the time of employment decision. Strong research experience in deep learning, machine learning, AI-assisted software development, or automated machine learning is required. Programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow, JAX) are mandatory. Excellent English communication skills, ability to work independently, and collaborative skills are expected. Experience with large language models, foundation models, LLM agents, retrieval-augmented generation, multi-agent systems, code generation, program synthesis, automated debugging, software testing, program repair, deep learning model development, automated machine learning, neural architecture search, meta-learning, data-centric AI, automated experimentation, and relevant publications will strengthen the application. Teaching experience is desirable. What you will do: Develop LLM-agent methods and prototypes for deep learning workflows, software development, code generation, debugging, testing, and documentation. Evaluate methods in controlled experimental environments and with industrial partners. Publish scientific papers in AI, machine learning, and software engineering venues. Engage in teaching and thesis supervision at undergraduate/master’s level. The position is meritorious for future roles in academia, industry, or the public sector. Contract terms: Temporary full-time employment for two years, with possibility of a one-year extension. Physical presence at Chalmers is required throughout employment. A valid residence permit must be presented by the start date. As a postdoc at Chalmers, you are an employee and enjoy all employee benefits, including healthcare, parental leave, subsidized day care, and free schools. Chalmers is committed to gender balance, equality, and inclusion, and offers Swedish courses for non-native speakers. Application procedure: Submit your application via the online form. Attach your CV (including publications and teaching experience) and a personal letter (introduction, research summary, future goals). Applications must be written in English and attached as PDF files. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. Deadline: July 3rd, 2026. For questions, contact Assistant Professor Yinan Yu at [email protected]. Chalmers University of Technology is a leading institution in technology and natural sciences, fostering innovation and global commitment. The university promotes knowledge and technical solutions for a sustainable world, with a strong focus on scientific excellence and collaboration with society.

Chalmers University of Technology in Gothenburg, Sweden is hiring a PhD student in the Department of Computer Science and Engineering. The project focuses on physics-guided foundation models for time-series data , with applications in safety-critical systems and automotive applications . The research spans the full pipeline from fundamental machine learning questions to training on real-world data and validating methods in industrial settings. This opportunity is a strong fit for applicants interested in machine learning , foundation models , time-series modeling , and physics-informed learning . The post emphasizes rigorous research and a desire to push beyond standard model application. Eligibility highlights: a strong foundation in machine learning, interest in time-series and physics-guided learning, and high motivation for research. The post does not list detailed funding, language, or degree prerequisites beyond the PhD opening itself. Location: Chalmers University of Technology, Gothenburg, Sweden. Deadline: October 1, 2026. Apply: use the application link provided in the post for more information and submission details.