Postdoc In Information Systems in the Built Environment
Are you eager to drive innovation with AI-based methods and digital twins?
Join us to impact climate action by integrating multi-ontology approaches in
the built environment, enhancing sustainability and Industry 5.0 initiatives,
with a focus on human-centric and urban big data.
Position
(Post-doctoral) Researcher
Irène Curie Fellowship
No
Department(s)
Built Environment
FTE
1,0
Date off
10/10/2024
Reference number
V38.7720
Job description
The Department of the Built Environment invites applications for a dynamic
Postdoctoral position within the Information Systems in the Built Environment
group. This role centers on pioneering Multi-Ontology AI-based Facility
Digital Twins, integrating cutting-edge AI techniques—including machine
learning, reinforcement learning, and transfer learning—into research and
educational frameworks.
Key Responsibilities:
Conduct ontological research focusing on spatial dynamics, inter-process
interactions (e.g., shared resources and power consumption), and human
operator behaviors.
Enhance and transform Industry 5.0 initiatives by prioritizing worker
engagement, perception, and accessibility, recognizing the critical role
of the human element in technological advancements.
Prepare the methods and tools developed for manufacturing environments in
this ontological research for subsequent application to urban scales.
Apply the developed technologies and systems to both existing and new
building stocks to enhance resilience and sustainability in response to
climate action demands.
Impact:
Your contributions will directly support climate action initiatives by
utilizing the information systems and technologies developed in this
research to address challenges within the built environment at various
scales, with an emphasis on sustainability and environmental impact.
You will be an integral part of a vibrant research group dedicated to pushing
the boundaries of information systems in the built environment. This position
is designed to appeal to a broad range of applicants, ensuring a balanced
focus on both technical and social dimensions of the role.
Job requirements
Motivated researcher with a PhD in Architecture, Urban Planning, Computer
Science, Information Systems, Environmental Science, or a comparable
domain.
Ability to conduct high-quality academic research, reflected in
demonstrable outputs.
Proven experience with human-centric data, urban big data, and complex
data visualization systems.
Demonstrated research expertise in AI techniques (ML, transfer learning,
Natural Language Processing, large language models) applied to climate
change actions and the built environment.
Experience in utilizing ontological frameworks to structure and analyze
human-centric data, including conceptual structuring, entity and
relationship modeling, and integration with information systems in the
built environment.
Experience in performative design and planning initiatives, along with
stakeholder collaboration for informed decision-making processes.
Experience in large-scale participation, e-participation, and digital
governance to collect data and support informed decision-making.
UI/UX experience is appreciated for developing tools to support decision-
making.
Strong interdisciplinary collaboration skills and the ability to work
effectively within diverse research teams.
Excellent teamwork skills, with a passion for coaching PhD and Master's
students and working in a dynamic, interdisciplinary environment.
Demonstrated ability to manage complex projects to successful completion
on schedule.
Excellent proficiency in English (written and verbal), with strong
communication and leadership skills.
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
station. In addition, we offer you:
Full-time employment for 6 months.
Salary in accordance with the Collective Labour Agreement for Dutch
Universities, scale 10 (min. €4,020 max. €5,278).
A year-end bonus of 8.3% and annual vacation pay of 8%.
High-quality training programs on general skills, didactics and topics
related to research and valorization.
An excellent technical infrastructure, on-campus children's day care and
sports facilities.
Partially paid parental leave and an allowance for commuting, working from
home and internet costs.
A TU/e Postdoc Association that helps you to build a stronger and broader
academic and personal network, and offers tailored support, training and
workshops.
A Staff Immigration Team is available for international candidates, as are
a tax compensation scheme (the 30% facility) and a compensation for
moving expenses.
Information and application
About us
Eindhoven University of Technology is an internationally top-ranking
university in the Netherlands that combines scientific curiosity with a hands-
on attitude. Our spirit of collaboration translates into an open culture and a
top-five position in collaborating with advanced industries. Fundamental
knowledge enables us to design solutions for the highly complex problems of
today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Bige Tunçer, Professor, [email protected].
Visit our website for more information about the application process or the
conditions of employment. You can also contact Kevin Caris, Hr advisor,
[email protected].
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:
A cover letter, which explains why you believe you are a good fit for this
position.
A detailed curriculum vitae, which includes a list of three persons
(name, affiliation, and contact information) who are willing to provide
letters of reference.
List of three 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.
