PhD in Transparent AI Decision Support Systems for Sustainable Mobility

Introduction

Are you passionate about AI sustainability and transdisciplinary research Would you like to bring together AI techniques and stakeholder insights to create transparent decision-support tools for tackling sustainable mobility challenges faced by businesses governments and citizens

Job Description

This PhD project is a part of TheDECIDEproject Democratizing AI: Empowering Citizens through Transparent Decision-making. DECIDE is a large-scale NWO-funded research initiative under the Dutch Research Agenda (NWA). It brings together10 Dutch universities over50 academic researchers and30 societal partnersin an ambitious inter- and transdisciplinary collaboration. Our shared mission is to design and implement a new generation oftransparent citizen-empoweringAI systems with afocus onAI-supported decision-makingthatcontributes tothe empowermentand democratic participationof citizens.

The DECIDE project addresses real-world challenges across domains such ashealthcare mobilitypublic governance and healthy lifestyles.By co-developing strategies with societal stakeholders DECIDE aims to create solutions that havetangibleimpact on society.

As a PhD candidate you will be part ofamultidisciplinary team of PhD studentsandbecome part ofavibrant inter- and transdisciplinary research community. You will:

• Collaborate across disciplines and with societal stakeholders to achieve real-world impact.
• Participate in joint training programs on interdisciplinary and transdisciplinary research methods citizen engagement andethical AI.
• Contribute to cutting-edge research that bridges theory and practice.

DECIDEis organizedinto10 work packages(WPs):

• SixWPs focus ondisciplinaryperspectivesinpsychology education computer sciences law and philosophy.
• FourWPs addresscitizen-empowerment-scenarios(CES)inhealthcare mobility public governance andhealthy living.

This PhD project focuses on the development of transparent and explainable AI-based Decision Support Systems (AI-DSS) for sustainable mobility in close collaboration with societal partners SmartwayZ ( The aim is to empower citizens particularly SMEs entrepreneurs and policy makers by enabling them to understand explore and evaluate the consequences of mobility-related policy and business decisions.

The PhD project explicitly combines computational modelling and AI techniques with social science research methods to 1) develop AI-based simulation and decision-support models and 2) empirically investigate how different stakeholders (e.g. SMEs entrepreneurs policy makers) understand use and are empowered by such systems by actively participating in stakeholder workshops interviews surveys and case studies.

This position will be based in the Information Systems (IS) Group at the Department of Industrial Engineering & Innovation Sciences Eindhoven University of Technology (TU/e). The candidate will be supervised by Dr. Yingqian Zhang Dr. Hendrik Baier and Dr. Plato Leung.

Job Requirements

• A Masters degree in Artificial Intelligence Computer Science Data Science Industrial Engineering or a closely related field.
• A motivated candidate with a research-driven mindset and a genuine interest in solving real-world challenges in close collaboration with industry.
• Strong interest and skills in computational modelling simulation AI and programming.
• Preferably with a background or demonstrated interest in the social science domain.
• Familiarity with or strong motivation to develop skills in empirical social-science research methods including interviews surveys and case study research.
• Ability to work independently and collaboratively in an interdisciplinary team.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).
• Proficiency in Dutch is preferable as the role involves collaboration with local stakeholders.
  
  

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.
• 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.

About us

Eindhoven University of Technology is a leading international university within the Brainport region 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.

Information

Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager Yingqian Zhang () Hendrik Baier () or Plato Leung ().

Visit our website for more information about the application process or the conditions of employment. 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.