Infrastructures provide the basis for many critical societal processes, from economy to education, from healthcare to housing and more. The infrastructures are increasingly interdependent on each other, from providing mutual services (like energy and data for mobility), via to providing alternative capacity (like rail, road and waterways), to competing for the same space (like in urban contexts).

Models and simulations are key tools for decision makers, allowing them to build, design, and plan infrastructures. As the need for integrated, cross system insight rises, current monodisciplinary and mono-sectoral models are increasingly unable to provide the required insights. A promising direction is multi-modelling, where different models and simulations are combined in an ecosystem of tools, that can be used and re-used in different configurations. The model ecosystem, and the socio-technical approach to modelling poses new methodological and technical challenges. 

Models are instrumental for supporting the social process of decision-making, and are not a goal in themselves. Key model and software requirements will stem from the users and the social process that they are involved in. You, as a developer will be involved in these processes where needed, but are not expected to organize and manage them. 

Work will consist of two main lines, platform development and model development support. Platform development involves integration of existing open-source platforms MOVICI and multi-model.nl, identifying new requirements and features from the users and developing them. Model development includes software implementation and general computing and data analysis support for researchers, modelers and modelling and simulation theorists. You may also be asked for advice on the most suitable software solutions, data structures, architectures, code redesign where necessary.  

Goal of the position is the further development of the MOVICI and multi-model.nl platform towards a tailored tool for broad impact analysis in a complex stakeholder environment. The later means a lot of attention for describing and modeling scenario’s, a wide range and flexible approach towards evaluative criteria for these scenario’s, clear visualizations in space and time on scenario development, and interconnection with other modeling platforms.  

We are looking for a person who enjoys (re)design and implementation "done right", with long term maintainability, reusability and generalizability being important, without losing sight of practicality. Willingness to work closely with domain experts and modeling theorists is paramount. Correct and clean representation and implementation of the relevant concepts is much more important than churning out features quickly. You will be working in research focused academic setting, so affinity with science, scientific methods and processes is useful. 

The software stack is organised around open source workflows: git, python, docker,  Apache Airflow, linux shell and some C++.  We also make use of REST interfaces and client-server architectures where relevant. Prior experience with these technologies is desirable but is explicitly not expected. We do expect solid python programming ability, high level of general computing skills and eagerness to learn more, as well as a good command of the English language. Dutch proficiency is desired but not necessary.

This is a junior position, and your interests, willingness to learn and team fit are much more important than prior experience with specific technologies. 

We are seeking a recent graduate from a computer science/ computer engineering / programming and/or data science-oriented MSc program, but candidates with different background are also encouraged to apply. The position could in term be changed to a modeling and simulation focused PhD position. 

We expect that you will take the initiative, be independent and can handle a high degree of freedom, especially in the technical domain. However, you will not be left alone to “figure it all out by yourself”. You will be part of a team that takes personal development and growth, mental health and neurodiversity seriously. You will be working closely with Dr. Ir. I Nikolic, and Prof. Dr. W. Veeneman.

Fixed-term contract: 2 years.

• A salary based on scale 9 of the CAO for Dutch Universities with a minimum of €3.377,- and a maximum of €4.640,- gross per month based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.
• An excellent pension scheme via the ABP.
• The possibility to compile an individual employment package every year.
• Discount with health insurers.
• Flexible working week.
• Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
• Plenty of opportunities for education, training and courses.
• Partially paid parental leave
• Attention for working healthy and energetically with the vitality program.

Delft University of Technology

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Technology, Policy and Management

The Faculty of TPM provides an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and research at the intersection of technology, society and policy. We combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments.

Click here to go to the website of the Faculty of Technology, Policy and Management.