Sort by
Refine Your Search
-
Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
-
PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
with antennas, evaluate different algorithms for EM field strength data, investigating the minimal needed sensors (up to nine), and controlling the equipment using in-line measured data (closed-loop
-
operating (Waterstromen) membrane-based wastewater treatment plants. As part of the UT team, you will develop a robust model predictive control (MPC) algorithm based on sensor and other system inputs that can
-
with established causal models. Ultimately, you will design algorithms for causality-based analysis and counterfactual recovery of liveness violations. Information and application Are you interested in
-
-round (online) interviews are scheduled for August 28th, 2025. A second-round interview might take place about a week after the first-round interview. About the department The Department of Water
-
interviews are scheduled for October 6th, 2025 preferably in person at the campus of the University of Twente. A second round may be part of the procedure. We aim for this project to start January 1st, 2026
-
uploaded per application, please combine documents if needed. An interview and a scientific presentation will be part of the selection procedure. The first selection interviews are scheduled for October 6th
-
application, please combine documents if needed. An interview and a scientific presentation will be part of the selection procedure. The first selection interviews are scheduled for October 6th, 2025 preferably
-
. You should already briefly indicate this idea in your letter of motivation. First-round (online) interviews are scheduled for August 21st. A (possible) second-round interview will take place on August
-
. In applications, we focus on systems that are crucial to everyday life. We contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules