The Aalto School of Arts, Design and Architecture offers a Visiting Researcher in ARTS positions for postdoctoral Researchers and Doctoral Candidates. Please note that master level students are not accepted. The position is UNFUNDED and open to Researchers from all countries. Visiting Reseracher should have preferably secured funding for the duration of the visit before applying for this position. Visiting Researcher in ARTS is for a full semester position or a full academic year. The applicant may indicate a particular time period of the visit and the starting date of the visit.

for the new research group of Electrolytic processes headed by Prof. Pekka Peljo. The group will move from University of Turku to Aalto University from 1.4.2025. The position is funded by Research Council of Finland project H2fromHE, where hydrogen production by hydrocarbon electrolysis is investigated both experimentally and computationally – the sought person has the ability and willingness to drive high-profile, interdisciplinary research in a joint effort between experimental and computational / theory research. This project includes collaboration with the computational group of Prof. Kari Laasonen, while catalyst materials will be provided by collaborators. Additionally, a research visit to University of Reading, UK, is planned for realizing low temperature electrochemistry measurements. The tentative starting date would be 1.4.2025 but can be negotiated.

We are seeking a Postdoctoral Researcher (100%) fixed-term position to join our academic operations until June 2026, starting from January 2025 or as soon as possible. In this role, you will join a multidisciplinary research project with Finnish industry, examining idea acceptance and advancement in the context of developing sustainable energy solutions. Like all academic positions at the Design Factory, the role also includes joining the teaching team of select master’s level courses in development, as well as advising bachelor and master’s level students.

The Aalto Robot Learning research group operates in the intersection of artificial intelligence and robotics. We focus on developing methods for reinforcement learning, robotic manipulation, decision making under partial observability, imitation learning, and decision making in multi-agent systems. The goal of the research group is to help robots understand what they need to learn to perform their assigned tasks, and, thus, make robots capable of operating on their own and pro-actively help humans. To accomplish these goals the research group develops novel decision-making methods and uses these methods to solve unsolved robotic tasks. For more information, please see https://rl.aalto.fi.

The main task of the Postdoc will be to develop new reinforcement learning and planning methods. The developed methods may be based on one of our focus areas improving efficiency and generalization in control of complex systems. A goal is to develop methods that can be used for robotic mobile manipulation in unstructured partly unknown environments and in environments with elastic or deformable objects. The developed methods are evaluated with real robots such as our Boston Dynamics Spot robot. The exact direction of the research is chosen depending on your experience and interests. Please relate clearly to the research topics in your Letter of Motivation.

Outstanding researchers from the areas of Machine Learning, AI, Robotics, and related areas including Reinforcement Learning, Control Engineering, Computer Vision, Statistics & Optimization, or Mathematics & Physics are welcome to apply. The candidate is expected to conduct independent research and at the same time contribute to the topics listed above. Successful candidates will be furthermore given the opportunity to work with undergraduate students, M.Sc. students, and PhD students.

The research group collaborates internationally and nationally with research groups in construction, computer vision, robotics, mobile heavy machines, human-robot interaction, reinforcement learning, imitation learning, multi-agent systems, under-water vehicles, and robot motion planning. There will be ample opportunities for international collaboration.