At JLR, the transition to electrification is integral to our Reimagine strategy. But our transformation extends beyond our vehicles; it encompasses a culture shift, continuous training and meticulous detail to ensure we are curating the ultimate electric experience for our clients.

“We use a combination of experimental and virtual methods to assess how airflow affects cabin acoustics, including wind tunnel testing, on‑track measurements, recreating real‑world driving conditions in highly controlled environments.

“Our team tackles a wide range of acoustic phenomena, from unsteady wind noise to low and mid‑frequency noise. Our goal is to deliver peerless cabin refinement through the control of wind noise. By carefully engineering how wind‑induced sound is generated and perceived, we help to ensure an exceptionally calm, comfort, and luxury experience for our customers.

“Our customers come from all over the world, so we have ingenious professionals within our team that represent our global clientele. It’s vital that we consider their point of view as diversely and inclusively as possible. It’s a privilege to be part of a team that’s shaping the future of luxury vehicle refinement."

Nur’s academic background ‑ a PhD in Aerospace Engineering ‑ prepared her to dive deep into data. But transitioning from academia to industry has been transformative. “I love dealing with data and understanding how to physically interpret all these numbers into something meaningful, so we can meet our customers’ expectations.

“JLR has been incredibly supportive. I’ve had the opportunity to co‑author papers and present in international conferences for SAE International (Society of Automotive Engineers) and The Research Institute for Automotive Engineering and Powertrain Systems Stuttgart (FKFS) and was awarded with the Outstanding Presenter Award during the 2025 Noise and Vibration Conference. These were some of the proud milestones in my first two years with JLR. I’ve also joined the Data Fellowship programme, gaining advanced analytics skills to handle the massive datasets we work with."