PhD in AI-Enabled Digital Twins and Inclusive Neighborhood Design

Introduction

Are you excited about using artificial intelligence digital twins and computational design to create inclusive neighborhood environments This project develops and evaluates AI-enabled and socio-spatial interventions to support ageing populations in two living lab neighborhoods in the Netherlands.

Job Description

Designing inclusive neighborhood environments requires tools that translate insights about residents needs into concrete spatial and technological interventions.

This PhD position is part of the ELLI project (Empathic Living Labs for Inclusive Neighborhoods) an interdisciplinary initiative exploring how technology and urban design can create neighborhoods that support autonomy accessibility and participation for older adults. The project focuses on the development of AI-enabled design tools and digital twin models that support the creation of inclusive neighborhood interventions.

The candidate will develop computational methods that integrate spatial data environmental sensing and behavioral insights into digital representations of neighborhoods. These digital twins will support the design and testing of interventions addressing physical cognitive social and psychological accessibility.

The research will involve computational modelling AI-enabled analysis and participatory design processes with residents and stakeholders in the living lab neighborhoods.

The goal is to develop design methods and digital tools that support municipalities designers and planners in creating inclusive neighborhood environments.

The candidate will work closely with another PhD student in this project.

Job Responsibilities

The PhD candidate will:

• Develop digital twin models of the living lab neighborhoods.
• Design computational tools that support inclusive neighborhood design.
• Develop AI-enabled methods to analyze and simulate accessibility conditions.
• Prototype socio-spatial interventions addressing mobility navigation and social participation.
• Support participatory design processes with residents and stakeholders.
• Evaluate and refine interventions through iterative design cycles.
• Publish results in leading scientific journals and conferences.

Contribute to interdisciplinary collaboration within the ELLI consortium.

Job Requirements

We are looking for a candidate with:

• A Masters degree in Architecture Urban Design Computer Science Engineering or a related field.
• Experience with computational modelling simulation or digital design tools.
• Programming skills (e.g. Python C# or web technologies).
• Interest in AI digital twins and urban design innovation.
• Ability to work in interdisciplinary research teams.
• Strong communication and collaboration skills.
• Fluency in spoken and written English (C1 level).

Fluency in Dutch is an advantage.

Conditions of Employment

A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you:

• Full-time employment for four years with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme paid pregnancy and maternity leave partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities scale P (min. 3059 - max. 3881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure on-campus childrens day care and sports facilities.
• Unlimited access to the modern oncampus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us

We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact today and in the future. TU/e is home to over 13000 students and more than 7000 staff forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven a worldleading tech region with more than 7000 hightech companies and strong R&D activity. Known for breakthroughs in AI photonics semiconductors and advanced manufacturing Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager . Masi Mohammadi .

Visit our website for more information about the application process. You can also contact .

Curious to hear more about what its like as a PhD candidate at TU/e Please view the video.

Are you inspired and would like to know more about working at TU/e Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.