Vit Uhlir

I have studied Mathematical Modelling (Computational Fluid Dynamics) at the Faculty of Mechanical Engineering, Czech Technical University in Prague (CTU). Alongside that gained international experience (1 semester in Finland + 1 semester in Belgium) as well as industry experience - 3 years in Škoda Auto. After graduation I started to work as CFD engineer, mostly working for Škoda Auto's Aerodynamics department and as part of development team implementing AI/ML solutions. After two years I have decided to join back to the academia to follow my passion of research and explore the always desired opportunity of teaching. I enrolled for PhD at CTU in numerical simulations (CFD) and application of scientific AI/ML for engineering.

Part of it I work as a lecturer at the CTU for the courses of Programming and Numerical Mathematics for Mechanical Engineering students. By structural design these courses are focused on hand-on exercises. My goal always is to show the practicality of learned topics and design all exercises to be as close to real world (industry) applications as possible. Ensuring individual approach with each student based on their level and needs. I obtained great reviews from students of the course, appreciating transparent communication, being easily approachable and providing understanding via practical examples.

Additionally, since the beginning of 2026 I have started to work as a Lecturer and Tech Mentor for the Institute For Study Abroad (IFSA) in Prague. As a Technical mentor I have helped students' teams in developing AI/ML solutions for enterprise partners, providing technical guidance and coaching. As a lecturer I provided a course (including structuring and creating all the materials) of Introduction to Machine Learning. Students taking part in it are international students of (mostly US) universities enrolled in programs of Computer Science. Interactive lessons are key here. In the beginning, introduction to a topic was given by the lecturer, followed by guiding questions to check student's understanding. Later interactive exercises forcing engagement always take place in alternating form of team/class discussions, quizzes (Kahoot!, ...), hand-on exercises (both team and individual) with lecturer circling around. Always concluding with emphasizing main points of the day, take home message and what comes next. I received excellent feedback from the students for engagement, transparency, approachability, understandable presentations and emphasis on practical examples and industry applicability and relevance.