The School of Engineering, Construction Engineering and Lighting Science

The School of Engineering is one of four schools within Jönköping University. We offer attractive technical education at undergraduate and graduate levels and conduct advanced research in several technological areas. The School of Engineering is able to award doctorates in the area of industrial product realization. We collaborate with the surrounding society to develop new technology and spread knowledge to strengthen the competitiveness of companies. Working with us, you are close to colleagues in an international environment with great opportunities to influence and develop.

The Department of Construction Engineering and Lighting Science offers graduate and post-graduate education. The department has an active research environment with research focusing on knowledge-intensive product realization and digitalization (Building Information Modelling and Digital Twins). The highlighted expertise withing this ambition is expressed by two Areas of Excellence: i) Well-being and performance in buildings through lighting and ii) Digitally driven development and the built environment sector. We study the implementation and deployment of digitalization in the built environment. The focus is on the link between underlying structures in the context, mental models, or collective thinking, and the organizing of digital technologies for design, production and use of the complex products and services constituting the built environment.

The project that has been granted by the Smart Built Environment will employ a PhD student over a period of three years. The project focus is to develop a Blockchain-based DT platform for smart Asset Lifecycle Management focusing on novel O&M applications. This Blockchain-based DT platform will provide an integrated technology with transparent, traceable, secure data access and process visualization in a timely manner to improve, and significantly reduce, the time and costs needed to assess and manage the O&M process, transparently tracking of ecosystems' sets of blockchains which ensure trustworthy project data sharing.



The main objective of this PhD position is to develop and evaluate a Blockchain enabled Digital Twin platform prototype for the realization of full potentials of smart Asset Lifecycle Management (ALM) in the digital ecosystem. The key characteristics, requirements, and systems architecture of the digital platform prototype for integration of Blockchain and DT in the digital ecosystem will be determined, the systems applications of the digital platform prototype to simulate and optimize the predictive cases autonomously and collaboratively for smart ALM will be established, and the potential values to be created for the facility operators, real estate agents, and end users (inhabitants) will be described.

The PhD candidate is expected to contribute to the following works planned in the project:

  • The Requirements are defined, Use Cases are formulated, and reference scenarios are created, and technical specifications developed.
  • The analytical platform for blockchain-based Asset Management Process, and Holistic Asset Information Model (AIM) using Business process modelling notation (BPMN) are developed.
  • Blockchain-based DT system platform for smart ALM is designed, data analytics as a cognitive service for ALM is done, asset knowledge for cognition is created, and proactive asset management process are developed.
  • Achievable levels of interoperability between DT, blockchain and smart ALM systems, will be tested and dynamically validated in pilot buildings.
  • Dissemination and communication activities are orchestrated, business models for the blockchain-based DT platform are developed, and sustainability and standardization actions are executed.

To a limited extent, you will get opportunities to participate in teaching and/or supervising in first- and second-cycle courses to enable knowledge transfer. This should not exceed 20 percent of full-time work.



A person meets the general entry requirements for third-cycle program at the JU School of Engineering if he or she:

has been awarded a second-cycle qualification has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

To be an ideal candidate for this PhD-position you are required to have knowledge of the following:

  • Building Information Modelling (BIM).
  • Digital Twins (DT)
  • Building Automation Systems and Asset Lifecycle Management
  • Blockchain technology
  • Cognitive computing and related technologies (Artificial Intelligence, Machine Learning)

We are looking for someone who is self-driven and with a strong ability to work independently when required. You have strong software development skills related to data analytics, data visualization and/or user interfaces (C++, C#, Python, MATLAB, Java, Solidity, Vyper, Go).

You have good communication skills and the ability to work as part of a cross disciplinary research team. Your communication skills in the English language are excellent both orally and in writing. Knowledge of the Swedish language is meritorious.

It is also meritorious to have knowledge in Internet of Things (IoT) applications, data driven and data- intensive technologies and business intelligence (Facility Management sector).



The employment is limited in accordance with applicable collective agreement for doctoral students. The start date is October 1st, 2021.



Welcome with your application, no later than August 15th, 2021.

Applications should contain:

  • CV and cover letter
  • references
  • attested certificates and diploma
  • scientific publications
  • your view of research challenges for the PhD position.
Type of employment Temporary position longer than 6 months
Contract type Full time
First day of employment 2021-10-01
Salary Månadslön
Number of positions 1
Working hours 100%
City Jönköping
County Jönköpings län
Country Sweden
Reference number 2021/2624-211
  • Ibrahim Yitmen, +46 36-10 1704
Union representative
  • Thomas Axelsson, ST, +46 36-10 1076
  • Mikael Palmgren, Saco-S, +46 36-10 1647
Published 23.Jun.2021
Last application date 15.Aug.2021 11:59 PM CEST

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