Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 9 days ago

PhD urban sound modelling

werkenbijnlr26 open roles

Where
Amsterdam, Noord-Holland, Nederland
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowPhD urban sound modellingwerkenbijnlr · Amsterdam, Noord-Holland, Nederland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on werkenbijnlr's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 9 days ago

The posting

Join a cutting-edge PhD in aircraft noise propagation modelling and help shape the future of quiet, sustainable flight!

Background

New aerospace concepts such as Urban Air Mobility (UAM) will introduce air taxis and delivery drones into densely populated urban environments. These technologies promise more sustainable and efficient transport while helping to reduce congestion. NLR and TU/e expect UAM operations to become a reality within the next decade. Unlike conventional aircraft, UAM vehicles are expected to operate at lower altitudes and closer to residential areas, potentially exposing many more people to aircraft noise in their daily living environment.

However, little is known about how people will experience these new sources of noise in complex urban settings. Current aircraft noise propagation models assume free-field sound propagation and therefore cannot adequately account for the influence of buildings and other urban structures on the perceived sound environment. New scientific research is therefore urgently needed to understand, predict, and ultimately mitigate the impact of UAM noise on people.

The aim of this research is to improve our understanding of the propagation UAM noise in urban environments, and to enable perception studies of UAM noise in cities via auralization. A key scientific challenge is to accurately model both sound propagation in urban environments. The outcomes of this research will help shape future noise assessment, mitigation strategies, and regulations for safe and socially acceptable UAM operations.

Project description

To address these challenges, you will develop and validate a next-generation noise propagation model that predicts the frequency-dependent sound field generated by Urban Air Mobility (UAM) vehicles in complex urban environments, using existing sound power characteristics of UAM vehicles. Unlike conventional aircraft noise models, the model will predict the full frequency-dependent magnitude and phase, enabling a realistic representation of the urban acoustic environment.

The model will generate both monaural sound levels for noise impact assessment and binaural audio signals for immersive virtual reality applications, such as NLR's Virtual Community Noise Simulator (VCNS). This will provide a unique platform for both quantitative noise assessment and perception studies, improving our understanding of how UAM noise propagates through cities and how it is experienced by people.

Validation is a crucial part of the research and will combine objective acoustic measurements. To this end, a measurement campaign will be carried out in a representative urban environment or at a controlled test facility, such as NLR's DigiCity urban mock-up at the Mobility Innovation Test Centre (MITC). A perceptual validation study can be part of this research phase, depending on your expertise. Finally, the validated model will be applied to practical use cases, demonstrating how it can support perception studies (e.g. using the VCNS) and inform the development of effective noise mitigation strategies for urban environments.

The project will start between September and December 2026.

Your profile

  • Master’s degree in (Building) Acoustics, Physics, Aerospace engineering or a related field;
  • Collaborative and self-directed, and receptive to constructive feedback;
  • Good communication skills in both spoken and written English, knowledge of Dutch is desirable but not mandatory;
  • Strong background in programming, using MATLAB and/or Python or other relevant programming languages;
  • Ability to learn independently and passion for research.

What we offer you

This position offers a unique combination of supervision from NLR and TU/e. NLR provides guidance from an applied research perspective, while TU/e leads the academic research and PhD trajectory. You will be employed by NLR as a PhD candidate and based at NLR in Amsterdam. At NLR, you will join the Sustainability & Environment department, working alongside researchers and fellow PhD candidates on closely related topics in sustainable aviation and the living environment. This provides a collaborative research environment with strong supervision, knowledge exchange and direct societal impact.

As a PhD candidate, you will be enrolled in the Graduate School of Eindhoven University of Technology (TU/e), where you will benefit from an excellent supervisory team and inspiring academic environment. NLR offers a four-year research appointment and the opportunity to build a strong professional network within the aerospace sector.

In addition to all this, we offer:

  • No fewer than 45 days off (with full-time employment) so that you can also fully enjoy your free time in addition to your challenging job;
  • A fixed end-of-year bonus of 8%;
  • A contribution towards your healthcare costs;
  • Extra paid parental leave;
  • The possibility to work from home.

Working at NLR

Royal NLR has been a knowledge organization with the will and ambition to innovate for over 100 years. Based on that motivation, we make the world of aviation and space travel safer, more sustainable, more efficient and effective and stand for groundbreaking innovations. We employ more than 1000 passionate professionals, from aircraft engineers to psychologists and from mathematicians to application experts. NLR stands for an inclusive and diverse organization where everyone feels welcome, safe, valued and respected.

Would you like to know more?

Please visit https://www.tue.nl/studeren/graduate-school/ for more information on the graduate school and https://building-acoustics.net for more information on the TU/e Building Acoustics research group.

For more information about the position you can contact Pien Moller (recruiter) via [email protected] or 0611443915.

Would you like to apply?

Great, we are curious about you!

Send your motivation letter and CV via the apply button!

A positive VOG screening is necessary for this position. For more information about the screening, please visit the Justis website.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against werkenbijnlr's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on werkenbijnlr's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    werkenbijnlr's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.