Summary
Markus Buchholz is a seasoned robotics researcher and engineer specializing in underwater robotics, control systems, and AI, with a unique blend of academic rigor and industrial pragmatism. As a Postdoctoral Researcher in Underwater Robotics at Heriot-Watt University in the United Kingdom, he advances motion planning and reinforcement learning for autonomous aquatic systems. His career spans founder and senior engineering roles across Buchholz Robotics, ABB Robotics, GE, Statoil, Rolls-Royce, Zivid, YASKAWA Europe, and Canrig Robotic Technologies, giving him broad subsea and robotics deployment experience. He combines hands-on software and hardware development with leadership and pedagogy, supported by a PGCertTL and ongoing AI/ML coursework through Udacity and Coursera. His work routinely integrates control theory, motion planning, and AI, including reinforcement learning, to push practical, reliable autonomous systems under challenging environments. Based in the United Kingdom, Markus brings entrepreneurial drive and a track record of delivering cross-domain robotics solutions from research labs to industrial settings.
8 years of coding experience
19 years of employment as a software developer
Neural Networks for Machine Learning, Neural Networks for Machine Learning at Coursera
Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering, Doctor of Philosophy (Ph.D.), Mechatronics, Robotics, and Automation Engineering at Gdańsk University of Technology
Heriot-Watt University Edinburgh Campus
Nonodegree, Data Structures and Algorithms, Nonodegree, Data Structures and Algorithms at Udacity
Norwegian, English, Polish