This MSCA-funded doctoral researcher position at Tampere University focuses on multimodal perception and sensor fusion for mobile working machines, a critical area for industries such as construction, mining, and agriculture. The project is part of the ENGAGE network, which brings together leading machine manufacturers and technology companies across Europe to advance green, autonomous, and digital solutions for smart machinery. The doctoral researcher will investigate sensor configurations and machine learning methods for real-time machine perception, including implementation on actual machines. Scientific objectives include exploring calibrated and synchronized data streams from cameras, Lidars, radars, IMUs, and GNSS systems; developing perception methods for rich multimodal data; advancing real-time sensor fusion in autonomous machine contexts; quantifying uncertainty from multimodal data; and researching self-supervised learning approaches using co-occurring signals. Training will cover state-of-the-art topics in multimodal perception, 3D sensing, machine learning-based sensor fusion, and state estimation. The candidate will also participate in network dissemination activities via social media and digital platforms. The position is full-time for three years, with employment split between Tampere University (Finland, 12 months) and Bosch Rexroth (Germany, 24 months). The target degree is a doctoral degree from Tampere University. The gross salary is approximately 3800 EUR/month in both countries, with family allowance if applicable, and is defined according to MSCA rules. Applicants must hold an MSc in a relevant engineering discipline or applied mathematics, be eligible for doctoral studies at Tampere University, and comply with the MSCA Mobility Rule. Proficiency in English is required, and experience in computer vision, machine learning, deep learning, and 3D sensors is valued. The application deadline is November 16, 2025, and early applications are encouraged as interviews may begin during the application period. For more information, contact Professor Reza Ghabcheloo ([email protected]).

This MSCA Doctoral Researcher position at Tampere University offers a unique opportunity to contribute to the future of smart, sustainable mobile machinery through long-term 3D mapping of dynamic construction sites. The project is part of the ENGAGE network, which brings together leading machine manufacturers, technology companies, and academic groups across Europe to train engineers in cutting-edge fields such as AI, robotics, and mechanical engineering. The research will focus on developing methods and tools for creating and maintaining semantic 3D maps of worksites, modelling 3D environments, and integrating new environmental measurements to capture dynamic changes. The doctoral candidate will explore approaches for semantic labelling of environments, intelligent partitioning of models, and efficient updating of 3D maps as people, objects, and materials move within the space. Training will cover state-of-the-art topics including ML-based 3D reconstruction, semi-supervised semantic labelling, sensor fusion, and dynamic environment modelling. The position is full-time for three years, with employment split between Tampere University in Finland (12 months) and Volvo CE in Sweden (24 months). The target degree is a doctoral degree from Tampere University. The supervisory team includes Professors Esa Rahtu and Reza Ghabcheloo from Tampere University, and Mohammad Loni from Volvo CE. The gross salary is approximately 3800 EUR/month in both Finland and Sweden, with family allowance available if applicable, and is defined according to MSCA funding rules. Applicants must hold an MSc in a relevant engineering discipline or applied mathematics, be eligible for doctoral studies at Tampere University, and comply with the MSCA Mobility Rule. Proficiency in English is required, and experience in computer vision, dynamic 3D modelling, semantic labelling, and deep learning is appreciated. The application process requires submission of degree certificates, CV, motivation letter, and proof of residence through the LAURA portal by November 16, 2025. Early applications are encouraged as interviews may begin during the application period. The position offers a dynamic research environment, collaboration with industry leaders, and the chance to work in two countries, contributing to the advancement of autonomous and digital solutions for mobile working machines.

This MSCA Doctoral Researcher position at Tampere University focuses on sensor-based localization and mapping for mobile work machines operating in dynamic forest environments. The project is part of the ENGAGE network, which brings together leading machine manufacturers and academic groups across Europe to advance green, autonomous, and digital solutions for mobile machinery. The doctoral researcher will work on developing methods and algorithms for creating and updating digital maps in forest environments, designing SLAM algorithms that integrate various sensor modalities, and optimizing these algorithms for low computational resources suitable for edge computing. Scientific objectives include developing trust-aware positioning methods, sensor-agnostic localization and SLAM algorithms robust to environmental changes, rapid map updates based on reliability, and introspective analysis to identify mapping and localization risks. The position offers comprehensive training in state-of-the-art sensor-based localization, SLAM, and computational efficiency, with opportunities for dissemination through social media and network promotion. The doctoral candidate will spend 12 months at Tampere University and 24 months at Ponsse, a leading company in mobile machine automation systems. The position is full-time for three years, with an expected start date of January 1, 2026, and includes a six-month trial period. The gross salary is approximately 3800 EUR/month, with additional family allowance if applicable, and is defined according to MSCA funding rules. Applicants must hold an MSc in a relevant engineering discipline or applied mathematics, be eligible for doctoral studies at Tampere University, and comply with the MSCA Mobility Rule. Proficiency in English is required, and experience in computer vision, SLAM, map-based localization, sensor-based positioning, and deep learning is valued. The application process requires submission of degree certificates, CV, motivation letter, and proof of residence via the LAURA portal by November 16, 2025. Early applications are encouraged as interviews may begin during the application period. The project offers a unique opportunity to contribute to the future of smart, sustainable mobile machinery in a vibrant academic and industrial environment in Finland.

The University of Tampere is offering several PhD and postdoctoral positions in the fields of machine learning, artificial intelligence, robotics, control, and signal processing. These positions are part of research teams working on cutting-edge technologies, ranging from fundamental research to practical applications. Research areas include computer vision, reinforcement learning, financial market analytics, spectral color constancy, signal processing for sensing and communications, and AI for robotics. Supervisors are leading experts from the departments of Computing Sciences, Automation Technology, and Mechanical Engineering. The university is recognized as a leading institution in engineering and technology in Finland and is part of the European Laboratory for Learning and Intelligent Systems (ELLIS). PhD positions offer a starting salary of around 2400 EUR/month, increasing with progress, while postdoc positions start at 3500 EUR/month. Both include healthcare and social security benefits. Applicants should have strong programming and mathematics skills, with experience in Python, C++, or Java being advantageous. Applications are accepted via the respective university portals, and candidates are encouraged to apply to all relevant positions. For further information, contact the listed principal investigators.