Automation and Robotics

  • //applyindex.com/wp-content/uploads/2022/03/finland.png Finland
  • University/Institute Name University of Vaasa
  • Attendance Type On Campus (Full Time)
  • Position Duration2 years
  • Application deadlineMar 2026

Position Details (Master's)

If you're passionate about smart technologies that drive sustainable energy systems, thisAutomation and Robotics major from University of Vaasa is for you. You’ll learn how to develop intelligent robotic solutions using the latest ICT and automation tools for areas like smart energy, battery production, and recycling.

The Automation and Robotics course degree offered at University of Vaasa focuses on robotics, digitalization, and business studies.

Key Facts

The curriculum provides hands-on experience in AI, machine learning, 5G, computer vision, embedded systems, and energy storage along with a solid understanding of future markets and business models. These skills will equip you to assess green energy transitions, research new intelligent solutions for smart grids, and lead innovative projects in energy and manufacturing.

Upon graduation, you’ll be prepared to analyse the impact of new technologies on energy systems, design sustainable smart grid solutions, and critically use information to develop new ideas. This degree provides eligibility for doctoral studies in automation engineering, communications engineering, electrical and computing engineering, or related technical fields.

These studies are arranged in Pori. The major in Automation and Robotics is a part of the Master’s program in Computing Sciences. The duration of studies is 2 years (120 ECTS credits).

Courses included:

  • The major in Robotics is a part of the master’s program in Smart Energy. The duration of studies is 2 years (120 ECTS credits).
  • This brand-new major will consist of 35 ECTS credits in Robotics, encompassing essential courses like Embedded C Programming, Intelligent Robotics, Applied Signal Processing, and Digital Image Processing.
  • Additionally, you can tailor your learning experience by selecting from a range of specialised courses, such as Machine Learning, Applied Machine Learning, Machine Learning for Computer Vision, Embedded System Architecture and Design, and SoC-FPGA.

Teachers of Robotics

  • Jani Boutellier, Associate Professor
  • Mohammed Elmusrati,Professor
  • Petri Välisuo,Associate Professor
  • Tobias Glocker,University Teacher
  • Janne Koljonen,Laboratory Engineer

Research Areas & Fields of Study involved in the position

Position Start Date

Sep 2026