Postdoc In cognitive Digital Twins and immersive co-design for fair urban spaces

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profile Job Location:

Eindhoven - Netherlands

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Departments Department of Built Environment

Sustainability in its broadest definition is the cornerstone of research and education in the Department of Built Environment. We take the lead in (re)shaping the built environment to be future-proof safe healthy inclusive and respectful of planetary boundaries. We house the entire spectrum of technology engineering design and human behavior disciplines in the built environment with world-class experimental facilities at all scales. This allows us to address societal challenges from a uniquely integrated perspective.

Introduction

Are you passionate about shaping sustainable and fair cities through technology and citizen engagement We are looking for a postdoctoral researcher to join an international research initiative that helps European cities reimagine and manage their public spaces to become more liveable inclusive and climate neutral.

The project brings together universities municipalities and industry partners across Europe to develop and test digital and participatory tools that support urban transformation. It focuses on integrating AI-supported design digital twins and data-driven management to balance mobility energy and public space usewhile embedding fairness and inclusion in decision-making.

Within this framework TU/e contributes to the development of immersive co-design environments that combine Virtual Reality (VR) Cognitive Digital Twins (DTs) and a Social Fairness framework. These tools will allow cities to visualise design alternatives assess equity impacts in real time and support evidence-based and fair decision-making for climate-neutral transitions

Job Description

As a postdoctoral researcher you will work in an interdisciplinary team to develop immersive co-design environments that connect citizen experience simulation data and fairness evaluation. You will:

  • Design and test VR environments that represent alternative configurations of urban space (e.g. street reallocation mobility hubs or green corridors).
  • Identify and integrate relevant data streams from cognitive digital twins ensuring that scenarios include measurable indicators for social fairness assessment.
  • Organize and facilitate participatory workshops where citizens and decision-makers experience and evaluate different urban scenarios in VR.
  • Collect and process data from these sessions combining objective indicators (e.g. space use accessibility emissions) with subjective responses (e.g. behavioural emotional cognitive).
  • Analyse and model the data to explain patterns of preference acceptance and perceived fairness across diverse city contexts.
  • Feed insights and modelling results back into the digital twin environment to refine and validate future scenarios.
  • Produce scholarly and practice oriented outputs including journal publications and policy briefs.
  • Contribute to planning documentation monitoring ethics/data management and reporting to funding bodies.

You will be working with the Urban Planning and Transportation chair (UPT) chair within the Department of the Built Environment. The group conducts research on sustainable urban development human-centered mobility spatial planning and decision support systems combining analytics behavioural modelling and design-driven approaches to better understand and plan for resilient inclusive and climate-neutral cities.

Within the CORESpaces project you will work closely with another postdoctoral researcher at TU/e from the Technology Innovation & Society (TIS) group who focuses on the Social Fairness Tool ensuring that immersive experiences and fairness indicators are fully integrated.

Job Requirements

  • Motivated researcher with a PhD in urban planning urban design transport studies computer science environmental science engineering or comparable domain.
  • Proven research experience in the field of digital twins and/or immersive technologies.
  • Experience with behavioural data collection (e.g. surveys VR/XR experiments stated choice experiments participatory workshops).
  • Experience with co-design stakeholder engagement or multi-partner projects is an advantage.
  • Strong analytical skills and experience integrating quantitative and qualitative data.
  • Have good programming skills (e.g. in Python SQL Java JavaScript etc.).
  • Ability to conduct high quality academic research reflected in demonstratable outputs.
  • A proven ability to manage complex projects to completion on schedule.
  • Excellent communication and collaboration skills with experience or willingness in engaging diverse partners (academic local authorities and NGOs).
  • Excellent (written and verbal) proficiency in English good communication and leadership skills.
  • A team player who enjoys coaching PhD and Masters students and working in a dynamic interdisciplinary team.

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:

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager dr. Valeria Caiati Assistant Professor .

Visit our website for more information about the application process or the conditions of employment. You can also contact HR-Advisor or.

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 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.
  • List of five self-selected best publications.

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 Chapter 8 of the National Knowledge Security Guidelines.
  • Please do not contact us for unsolicited services.

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