Martin Doff-Sotta
Martin Doff-Sotta holds a PhD in Control Engineering from the University of Oxford. His research focuses on combining the predictive capabilities of artificial intelligence with the safety guarantees of control systems, with applications to urban air mobility, renewable energy, and sustainable aviation.
Following his doctorate, he worked as an EPSRC Postdoctoral Pathway Fellow and Senior Research Associate in the Control Group at the University of Oxford. Prior to his doctoral studies, he worked as a systems engineer in the aerospace industry. He holds a Master’s degree in Electromechanical Engineering from Université Catholique de Louvain (2018), an MSc in Aerospace Engineering from Cranfield University (2016), and a Master’s degree in Mechanical Engineering from the University of Liège (2016).
Throughout his academic career, he has collaborated closely with industry partners including Rolls-Royce, Lockheed Martin and BMW. He remains active in industry through consulting on robotics, control, and autonomous systems.
Martin brings over eight years of teaching experience, including as a Lecturer in Mechanical Engineering at St John’s College, University of Oxford, and as Departmental Lead for Control Systems Tutorials at the University of Oxford.
His work has been recognized with several honors, including the Eric and Wendy Schmidt AI in Science Fellowship (2026), the EPSRC Doctoral Prize (2023) — awarded to the top 10% of STEM researchers in the UK — an IEEE Best Master’s Thesis Award (2018), and the Belgian Cup of Robotics (2017).
