Explore a career in Academia
– with Ruud van Sloun, Assistant Professor.
Would you like to speak to an experiential expert in a small group about what it’s really like to work in academia?
In this session you will be able to talk to Ruud van Sloun, an Assistant Professor in the Signal Processing Systems group at the Department of Electrical Engineering and a Kickstart AI fellow at Philips Research, Eindhoven. Ruud has contributed to over 80 scientific publications and 6 patents, given many invited talks, and received several awards. Please read his full profile below.
Exploration sessions take place in small, informal groups where you are free to hear stories, ask questions, and expand your professional network simultaneously. Sign up and learn from a professional who has been in your shoes! Learn how he built his career and why – and get tips for making your next career step a successful and fulfilling one.
Instructor
Ruud van Sloun
Ruud van Sloun is an Assistant Professor in the Signal Processing Systems group of the Electrical Engineering department at Eindhoven University of Technology (TU/e) and a Kickstart AI fellow at Philips Research, Eindhoven. He received his MSc as well as his PhD degree with highest distinction (cum laude) in August 2014 and January 2018, respectively, and was a visiting professor at the Weizmann Institute of Science, Israel, from July 2019 to June 2020. His research covers AI sensing systems and signal processing solutions that efficiently leverage both big-data and model-based signal structure. He aims at achieving better, faster and widely-accessible medical diagnostics through sensing and imaging systems that efficiently learn how to optimally measure, process, and interpret real-world signals. Ruud has contributed to over 80 scientific publications and 6 patents, given many invited talks and received several awards. In 2019, he received a RUBICON grant on “deep learning for next-gen ultrasound” from The Netherlands Organization for Scientific Research (NWO). In 2020, he received a Google Faculty Research Award for his work on model-based deep learning, and was featured in Elsevier’s top 30-under-30 in the Netherlands. In 2022, he received the TU/e Young Researcher award for groundbreaking scientific ideas and strong research impact.