Mid Sweden University is inviting applications for a PhD student position in Embedded AI-based IoT Systems within the Department of Computer and Electrical Engineering. The research is conducted at the Sensible Things that Communicate (STC) Research Centre and focuses on sensor-based systems and services for the Internet of Things (IoT) and artificial intelligence (AI). The AI-based IoT and Measurement Systems (AIM) group develops AI-driven methods to enhance measurement systems through indirect and resource-efficient sensing, targeting applications such as condition monitoring, predictive maintenance, and environmental analysis. The doctoral project centers on integrating sensor fusion and machine learning on IoT nodes, aiming to develop intelligent, resource-efficient solutions for distributed systems. Research activities include theoretical modeling, experimental studies, and the development, implementation, and verification of AI algorithms close to sensors. The project is carried out in collaboration with national and international partners from both industry and academia, providing a dynamic and interdisciplinary research environment. Applicants must have a second-cycle degree or at least 240 ECTS credits (with 60 at the second-cycle level), and at least 90 ECTS credits in Electronics or equivalent. Experience in the subject area, the ability to work independently and collaboratively, and fluency in spoken and written English are required. Application documents should include a certified CV, transcripts, degree certificates, degree project, a personal letter outlining research interests and goals, and any other relevant documents. Applications must be submitted in Swedish or English via the university's recruitment system by December 31, 2025. The position is a full-time doctoral studentship for four years, with salary according to the university’s scale. The start date is April 1, 2025, or as agreed. The research is based in Sundsvall, Sweden, offering access to a vibrant academic community and high quality of life. For further information, contact Professor Mattias O'Nils or Patrik Österberg. The university values diversity and equal opportunities in its recruitment process. Key research areas include Embedded AI, IoT Systems, Electronics, Sensor Fusion, Machine Learning, Condition Monitoring, Predictive Maintenance, Edge AI, and Measurement Systems.

Mid Sweden University is inviting applications for a postdoctoral position in Industrial AI, focusing on machine learning and generative AI for industrial applications such as process optimization and predictive maintenance. The position is based in the Department of Computer and Electrical Engineering, where research is conducted at the Sensible Things that Communicate (STC) research center. The center specializes in sensor-based systems and services for the Internet of Things and artificial intelligence, collaborating closely with both national and international partners in academia and industry. The successful candidate will engage in both experimental and theoretical research, including data collection, model development and verification, and generalization of solutions. The role requires active participation and collaboration within the research group, as well as communication and teamwork with external partners. The position is full-time (100%) for two years, starting from 2026-02-01 or as agreed, and is located in Sundsvall, Sweden. Applicants must have a PhD in electronics, electrical engineering, computer engineering, or a related field, awarded within three years prior to the application deadline (exceptions for parental or sick leave apply). Previous academic experience in machine learning is essential. Candidates should be responsible, structured, and able to communicate fluently in English, both orally and in writing. The ability to independently plan and conduct research, openness to learning, and effective collaboration are important personal qualities. Application documents must be submitted in Swedish or English and include a CV, copies of grades and diplomas, thesis, a personal letter describing your research interests and goals in machine learning, and any other relevant documents. The application deadline is 2025-12-31. For more information, contact Professor Mattias O'Nils or Head of Department Patrik Österberg. Mid Sweden University offers a vibrant academic environment with two campuses in Sundsvall and Östersund, providing excellent opportunities for research and collaboration. The university values diversity, equal opportunities, and sustainability, contributing to a better society through internationally recognized research and education.