Postdoc Data-Driven Concrete Mix Design, Properties Prediction, and Production Quality Control

The Faculty of Civil Engineering and Geosciences, Department of Engineering Structures, is seeking a postdoctoral researcher to advance the application of AI/machine learning in the field of concrete engineering. The successful candidate will focus on predicting concrete strength properties, optimising mix designs, characterising materials, discovering new materials and ensuring production quality control. This research will utilise both laboratory and field data, facilitated by the implementation of advanced sensor systems.
The primary objective of the project is to deepen the understanding of the intricate relationships between raw material properties, mix proportions, processing conditions and the resulting engineering properties of concrete. This understanding will lead to significant improvements in process optimisation, reducing the need for large safety margins in mix design. Ultimately, the results of this research will help to reduce the energy consumption, costs and carbon emissions associated with concrete production. This role provides a unique opportunity to make a significant contribution to the field of sustainable construction through advanced data-driven methodologies.
Your main responsibility will be to carry out the postdoctoral project and conduct research in data-driven concrete science. You will have the opportunity to influence the details of the research according to the needs of the project, with the possibility of combining experimental work with modelling and working in close collaboration with industry. As a postdoc, you will be involved in teaching and supervising students in the department.
The project will be carried out at TU Delft in the Faculty of Civil Engineering and Geosciences (CEG) in collaboration with the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). The position is located in the Concrete Structures Group within the Engineering Structures Department of the CEG.
The Department of Engineering Structures focuses on the development of resilient, smart and sustainable structures and infrastructures. Our aim is to meet societal demands in transportation, the energy transition and sustainable reuse. Research themes include dynamics of structures, mechanics of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil infrastructure and development of new materials and maintenance techniques. Our unique Macro Mechanics Laboratory facilities support full-scale testing, monitoring and modelling of structures to facilitate implementation of innovations. The department delivers both groundbreaking research and world-class education for undergraduate and graduate students. As a team, we represent different backgrounds, skills and views. We foster an inclusive culture, as our combined identities, attitudes and ambitions widen our perspective and make up our strengths.

Requirements:

As a successful applicant, you will possess a strong knowledge of concrete structures and materials. We highly value candidates with skills in experimental work, data processing, and statistical analyses. Proficiency in using FEM software and advanced programming skills in Python will strengthen your recommendation. Experience with deep learning and machine learning packages is also desirable.
We seek individuals who are motivated to explore new research questions, master new skills, and embrace challenges. A suitable background includes a PhD degree in concrete structures, concrete materials, or an equivalent field. Alternatively, candidates with a PhD in computer science who have a strong interest in civil engineering applications will also be considered.
You are expected to work independently while receiving full support from your supervisor and colleagues within CEG and EEMCS. The ability to plan and organize your own work, collaborate in interdisciplinary teams, interact and conduct research with industry partners, and communicate your scientific results effectively in English, both verbally and in writing, is essential.

Salary Benefits:

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customizable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organize events to expand your (social) network.
From 1 September next, a salary increase of 3.7% applies due to a Collective Agreement amendment, followed by an additional 1% increase on 1 January 2025. In addition, most employees employed on 1 September 2024 will receive a one-off payment of €300 gross based on full-time employment.

36 - 40 hours per week

Mekelweg 2