Chalmers University of Technology invites applications for a fully funded doctoral student position in Control-oriented system identification within the Division of Systems and Control at the Department of Electrical Engineering. This opportunity is ideal for candidates interested in advancing data-driven control methodologies and contributing to innovative research in a collaborative and dynamic environment. The department is renowned for its research and education in areas such as Communications, Antennas and Optical Networks, Systems and Control, Signal Processing, Biomedical Engineering, and Electric Power Engineering. The Automatic Control unit, where this position is based, focuses on developing sustainable and smart solutions to societal challenges, including energy efficiency and electrification across transport, production systems, communication, and biomedical engineering. The research project centers on model-based control, a prime framework for certifiably-safe regulation of dynamical systems. When system dynamics are complex, nonlinear, and partially unknown, models are typically derived from observations through system identification. This project will explore control-oriented biases and their impact on system identification and control, addressing persistence of excitation, safe exploration, input design, and connections with direct control methods. The aim is to improve downstream control performance by integrating control objectives into the identification process. Applicants must hold a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits in Engineering or Applied Mathematics, preferably with a major in automatic control or similar. For candidates educated outside Sweden, a 4-year Bachelor's degree is accepted. Experience in system identification and machine learning is considered a merit. Physical presence is required throughout the study period, and a valid residence permit must be presented by the start date. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, extending the position to five years. The starting salary is 34,550 SEK per month (valid from May 25, 2025), and doctoral students are employees with full benefits. Chalmers offers a dynamic and inspiring working environment in Gothenburg, with generous parental leave, subsidized day care, free schools, and healthcare. The university is committed to gender balance and equality, actively supporting initiatives such as the GENIE Initiative. Swedish language courses are available for non-native speakers to help with settling in. To apply, submit your application online using the provided application form. Attach all required documents as PDF files in English, including CV, personal letter, motivation, thesis, and transcripts. Incomplete applications and those sent by email will not be considered. References will be requested after the interview. The application deadline is April 15, 2026. For questions, contact Assistant Professor Anna Scampicchio at [email protected]. Chalmers University of Technology is a leading institution in technology and natural sciences, fostering scientific excellence, global commitment, and entrepreneurship. Join us to advance knowledge and technical solutions for a sustainable world.

Chalmers University of Technology invites applications for a fully funded doctoral student position in Kernel-based multi-task learning within the Division of Systems and Control at the Department of Electrical Engineering. The research focuses on advancing theory and practice in multi-task learning, particularly in scenarios where system identification is challenging due to complexity and limited data, such as in biomedical systems. The project leverages kernel-based methods for principled task-relatedness representation, uncertainty bounds, and rigorous learning rate analysis. As a doctoral student, you will join a dynamic group specializing in data-driven control methodologies, contributing to innovative research in learning and control. The department is renowned for its work in communications, antennas, optical networks, signal processing, biomedical engineering, and electric power engineering, addressing societal challenges like energy efficiency and electrification. You will be part of the Automatic Control unit, focusing on cutting-edge research with real-world impact. The position offers a starting salary of 34,550 SEK per month (valid from May 25, 2025) and is fully funded for four years, with the possibility to extend up to five years through teaching duties (up to 20% of working hours). Doctoral students are employees at Chalmers, enjoying comprehensive benefits and access to equality initiatives such as the GENIE project. As a WASP student, you will participate in a graduate school network across leading Swedish universities, with specialized courses in AI, extra training, study visits, and conferences to broaden your skills. Eligibility requires a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits in Engineering or Applied Mathematics, preferably with a major in automatic control or similar. For applicants educated outside Sweden, a 4-year Bachelor's degree is accepted. Experience in system identification and machine learning is advantageous. Physical presence is required throughout the study period, and a valid residence permit must be presented by the start date. To apply, submit your application in English as PDF files (max 40 MB each), including CV, personal letter, motivation, thesis, and transcripts. Applications must be complete and submitted via the online application form; incomplete applications and those sent by email will not be considered. Reference contacts will be requested after the interview. The application deadline is April 15, 2026. For further information, contact Assistant Professor Anna Scampicchio at [email protected]. Chalmers University of Technology, located in Gothenburg, Sweden, is a leading institution in technology and natural sciences, fostering innovation and sustainability through global commitment and collaboration.

Chalmers University of Technology invites applications for a postdoctoral position in kernel-based learning for predictive control, located in the Division of Systems and Control within the Department of Electrical Engineering. The research group specializes in data-driven control methodologies, focusing on innovative approaches to learning-based control in complex, nonlinear, and partially unknown dynamical systems. The project aims to advance model-based control frameworks, particularly addressing theoretical challenges in scalability, uncertainty bounds, and safety guarantees using techniques such as Gaussian process regression for model predictive control. As a postdoc, you will conduct research, publish in international peer-reviewed journals and conferences, and support PhD candidates working on related topics. The position offers a dynamic and collaborative environment, with opportunities to contribute to both academic and practical advancements in control theory, system identification, and machine learning. The role is ideal for candidates seeking to build a career in academia, industry, or the public sector. Applicants must have a doctoral degree in Engineering or Applied Mathematics, strong English communication skills, and solid competence in control theory and system identification. Experience in teaching and research is expected, and knowledge in kernel-based learning and uncertainty quantification will strengthen your application. The position is a full-time employment for two years, with the possibility of a one-year extension, and requires physical presence in Gothenburg throughout the contract. Chalmers offers comprehensive employee benefits, including support for settling in Sweden, gender equality initiatives, and Swedish language courses. To apply, submit your application via the online form by April 30, 2026, including your CV, publication list, teaching experience, and a personal letter outlining your research background and future goals. Incomplete applications or those sent by email will not be considered. Reference contacts will be requested after the interview. For further information, contact Assistant Professor Anna Scampicchio at [email protected]. Chalmers University of Technology is renowned for its research and education in technology and natural sciences, fostering innovation and sustainable solutions for societal challenges. The university is committed to scientific excellence, global engagement, and gender equality, providing an inspiring working environment in the coastal city of Gothenburg.