Summary
Markus Buchholz is a research scientist and seasoned robotics engineer with eight years of focused experience across underwater, industrial, and simulation domains. He holds a PhD in Mechatronics and combines deep expertise in motion control, reinforcement learning, and robot systems with hands-on C++ and Python development for planning and simulation. Markus has transitioned between academia and industry—from postdoctoral work in underwater robotics at Heriot-Watt to senior engineering roles and founding a robotics software company—demonstrating both research rigor and product delivery. Currently at Norway’s FFI, he develops simulation technology that bridges controller design and real-world deployment, leveraging a robust background in subsea control and ship systems dating back to GE and Rolls-Royce. Known for self-driven learning (multiple Udacity and Coursera credentials) and practical machine-learning applications, he often blends control-theory insight with modern deep RL to solve challenging motion and perception problems.
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, Doctor of Philosophy (Ph.D.) Mechatronics 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