SPREE Post Doc position vacancy

  • Vacancy title : Post Doc – Agent-Based Modeling of Servicizing Systems
  • Faculty or Service : Faculty of Technology, Policy and Management (TPM)
  • Department: Infrastructure Systems and Services
  • Section: Energy and Industry
  • Educational level:  PhD
  • Hours per week: 38 hrs. (1 FTE)
  • Contract length: 3 years
  • Salary: Scale 11 of the Collective Labour Agreement of Dutch Universities. More info here
  • Application deadline : October 19, 2012

Position for a Post Doc researcher to develop the modelling core of the SPREE project.

The SPREE project (Servicizing Policy for Resource Efficient Economy) is a three-year project within the environment theme under the European Commision’s Seventh Framework Program (FP7). The aim of SPREE project is to identify potential “Servicizing Policy Packages” for the establishment of Servicizing systems which facilitate the transition from selling products to providing services. SPREE project will simulate their effect on absolute decoupling of economic growth and resource use, within three sectors: water, mobility and agri-food. The SPREE international consortium consists of 10 partners from 7 different Member states & Associated Countries (The UK, Sweden, The Netherlands, Spain, Lithuania, Finland and Israel) and has two sets of partners consisting of public bodies and leading research institutes. The coordinator of SPREE project is the Research Council of Lithuania.

ervicizing Systems facilitate the transition from selling products to providing services. Except for ICT, these are still quite rare. SPREE is dedicated to promote the implementation of Servicizing Systems in 3 different sectors: water, mobility and agri-food. The project uses an Agent Based Modelling (ABM) approach to structure and test options for Servicizing Systems and Policies. This provides a generic framework that allows exploring short and long term effects, and assessment of the 3 sectors in different countries. Based on the models' results and complementary qualitative analysis we will construct 'Servicizing Policy Packages' that take into account the environmental, economic and social dimensions and trade-offs between them. Based on conceptualization of Servicizing Systems, the project will use existing instruments and develop new tools that fit into the evaluation of emerging Servicizing Systems and policies' effects. We define more suitable dynamic tools needed for ex-ante assessment of newly created supply chains that can emerge out of Servicizing activities.

Using ABM, we demonstrate how Servicizing Systems develop and test outcomes of proposed policies on the creation of successful Servicizing opportunities leading to absolute decoupling. The research will be interdisciplinary, systems-oriented and focus on ontology development and agent-based modelling.


Candidates are ambitious individuals who want to further develop their abilities in the field of agent-based / multi-agent modelling, within the context of a development and design-oriented academic environment. Candidates have a personal and professional affinity with ‘technology, policy and management’, the development and use of software, models and simulations and an interest in infrastructures, industrial networks and sustainability.

Required qualification are a PhD in a relevant natural science or engineering discipline - e.g. informatics and computer science, artificial intelligence, chemical engineering, mechanical engineering, industrial ecology etc. Experience with model development (ABM, MAS), research methodology development and complex systems theory and tools is an advantage. The project will interface with ongoing research, with model and model engine development. Researchers are expected to contribute to the ongoing and growing research community around modelling and simulation of complex systems, infrastructure operation and evolution. An open attitude and good social and communications skills thus are a requirement for these posts, as the research requires working in teams.

The research will be interdisciplinary, systems-oriented and focus on ontology development and agent-based modelling.

The faculty of Technology, Policy and Management

Through internationally oriented education and research the Faculty of TPM wishes to make a significant contribution to sustainable solutions for societal problems in which technology plays an important role; TPM wishes to open new perspectives by combining the arts/social sciences and engineering sciences. Education and research focus on large-scale socio-technical systems, such as energy infrastructure, river basins, flood protection, urban areas and industrial networks.

Section Energy and Industry

Modelling and simulation of the operation and evolution of infrastructure and industry networks

Infrastructure systems and industrial networks can be viewed as dynamic socio-technical systems that live in a continuously changing world. The technical network and the actors and bodies of rules that are involved – the social network – together form an interconnected complex network. Therein the actors determine the development and operation of the physical network, whilst the physical network structure affects actor behaviour. The social network controls both short term operation and long-term evolution of the structure of the technical network. Infrastructures evolve over time, however under a regime of ‘distributed coordination’ by multiple actors and stakeholders. Over time, the system characteristics, use and sustainability emerge. The Energy & Industry group coordinates the research on applying complex systems theory and simulation using Agent-Based and other simulation and modelling techniques. A ABM simulation engine has been developed to model the evolution of systems such as electricity infrastructure and chemical process industry networks, to underpin operational management of industrial supply chains and to explore transition to sustainable systems and services. A High Performance Computing facility is available. 

Terms of employment

TU Delft offers an attractive package of employment benefits. These include flexitime, high-speed Internet connection at home, and the opportunity to adapt secondary conditions of employment to suit employees’ personal requirements. We offer a working environment where candidates may develop to their maximum potential, both at the professional and personal level. Independence, personal initiative, collaboration, and scope for growth are core concepts within our faculty. TU Delft is an equal opportunity employer.

Contact and further information

  • Apply by emailing a CV, list of publications and a cover letter to Dr. ir. Igor Nikolic and Ms. Mirjam Koning

  • Please direct all content related inquiries to:
  • dr.ir. Igor Nikolic
  • i.nikolic@tudelft.nl
  • +31 (0) 15 2781135

  • Please direct all procedure / bureucractic related inquiries to:
  • Ms. Mirjam Koning
  • vacature-tbm@tudelft.nl
  • +31 (0)15 27 83651

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Topic revision: r6 - 01 Oct 2012 - 13:45:09 - IgorNikolic
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