• Developing novel algorithms and methods: Design and implement innovative algorithms for the autonomous manipulation of fine and soft objects. This will involve addressing the challenges posed by the softness, irregular shapes, and fragility of such objects.
• Experimental research and prototyping: Conduct experiments and develop prototypes to validate the proposed methods. You will work with state-of-the-art robotic manipulators, sensors, and AI techniques to achieve dexterous manipulation.
• Problem solving and innovation: Tackle complex problems related to the manipulation of objects with undefined and dynamic characteristics. Your role will require creativity and innovation, as well as an in-depth understanding of robotics, machine learning, and control systems.
• Collaboration and teamwork: Work closely with supervisors, team members, and interdisciplinary teams to integrate various technologies and approaches. You will also have opportunities to collaborate with external partners and contribute to joint projects.
• Publishing and dissemination: Communicate your findings through high-quality research papers published in leading journals and conferences. You will also present your work at international scientific forums and contribute to the academic community.
• Contributing to the group’s vision: Actively participate in the group’s research activities, contribute to setting the direction for future work, and help shape the broader vision of advancing robotic instruement technologies.
• Mentorship and knowledge sharing: Engage in mentoring undergraduate and master's students involved in related projects, sharing your expertise and fostering a collaborative research environment.

• A Master’s degree or nearing completion of a Master’s degree in Robotics and Automation, Autonomous Systems, Computer Science, or a related field
• Strong background in machine learning, robotics, and automation
• Proficiency in software programming
• Experience in path planning and decision-making for robotics
• Excellent communication skills
• Strong discipline and organizational skills in task and time management.
• Teamwork experience and a collaborative spirit

• An active, friendly, and highly collaborative multicultural and multi-disciplinary team - more than 11 members with complementary talents
• Training by experienced members in miniaturized robotics
• Cutting-edge modeling experience and urgent & demanding research challenges in the field of sustainable development and green transition
• Integration to our network of collaborators across the globe with various-form scientific discussions (meetings, workshops, conferences) and collaborations
• Open, fair, encouraging, collaborative, inclusive, and curiosity-driven work environment to support your ambition and success
• Details about the group can be found here:

  Robotic Instruments | Aalto University

• Letter of motivation
• CV including a list of publications
• Previous project experience demonstration if available (free format)
• Degree certificates and academic transcripts
• Contact details of at least two references (or letters of recommendation, if already available)