PhD Position DC4 - RWTH Aachen University, Germany - Integrated BIM-SHM approach with smart sensor systems (REUNATECH Project)

RWTH Aachen University; Deutschland; Vor Ort; EUR 42.000 - 54.000; Vollzeit

Zusammenfassung

RWTH Aachen University invites applications for a Doctoral Candidate position in Civil Engineering within the REUNATECH network. The project focuses on developing an integrated BIM-SHM framework for real-time structural monitoring of critical infrastructures, using IoT sensors, edge computing, and cloud analytics for rapid resilience assessments.

The selected candidate will participate in immersive training, cross-sector secondments, and a 3+3 month secondment plan with Aristotle University of

Qualifikationen

• MSc degree (or equivalent) in Civil Engineering, Structural Engineering, or related fields.
• Proven experience or great interest in SHM, BIM, numerical simulations and real-time monitoring systems with sensor technology.
• Proficiency and/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as Autodesk, ALLPLAN, ANSYS, REVIT, Tekla, Rhino, Grasshopper, etc.
• Basic knowledge in signal processing, time series analysis or machine learning for interpretation of structural data is desirable.
• Basic knowledge of numerical analysis and design of structures for special load cases (earthquakes, explosions) is desirable.
• You are fluent in written and spoken English.

Aufgaben

• Design, implement, and validate a real-time structural monitoring and damage visualization system.
• Couple IoT-enabled sensors with BIM models for dynamic visualization and analysis.
• Operate decentralized edge computing and cloud-based analytics for rapid decision-making.
• Collaborate across disciplines and secondments to support resilience-focused research.

Kenntnisse

Civil Engineering

SHM

BIM

Sensor technology

Python

MATLAB

English proficiency

Ausbildung

MSc in Civil Engineering

Tools

Autodesk

ALLPLAN

ANSYS

REVIT

Tekla

Rhino

Grasshopper

Jobbeschreibung

Organisation/Company RWTH Aachen University Research Field Engineering » Civil engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 11 Oct 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number DC4 Marie Curie Grant Agreement Number 101225914 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Ageing infrastructures, urbanization, and climate change are intensifying the vulnerability of critical infrastructures (CI), high-tech industries (HTI), and communities to cascading hazards, particularly NaTech (Natural Hazard Trig-gering Technological) events. REUNATECH is a Horizon Europe Marie Skłodowska-Curie Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH brings together leading universities, research institutes, and industrial partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies.

Its scientific vision targets: (1) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement of risk-to-resilience methodologies; and (4) the establishment of digital twin-based resilience frameworks for CI, HTI, and urban environments.

The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with Structural Health Monitoring (SHM) using smart sensor networks, and resilience-informed design platforms. Furthermore, REUNATECH promotes trans-disciplinary collaboration via multi-stakeholder platforms, bridging academia, industry, and policy. Through its holistic, digital, and resilience-centered approach, REUNATECH supports the European Green Deal, Sendai Framework, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross-sectoral secondments, workshops, and summer schools, enhancing their expertise in NaTech risk and resilience and enabling their integration into European and international research and innovation landscapes.

Research Project

The research project focuses on developing an integrated BIM-SHM (Building Information Modelling – Structural Health Monitoring) framework tailored for critical infrastructures (CI) exposed to seismic and cascading hazards. The doctoral candidate will design, implement, and validate a real-time structural monitoringand damage visualization system by coupling IoT-enabled dynamic sensors with digital building models. Through the use of decentralized edge computing, cloud-based analytics, and existing seismic networks, the project aims to improve rapid decision-making and resilience assessment during and after seismic events. A key outcome will be a digital twin environment capable of streaming and interpreting dynamic structural performance metrics under multi-hazard conditions, enabling timely risk-informed actions and optimized lifecycle management of CI assets.

Objectives

DC4 will develop an integrated BIM-SHM framework for real-time structural performance monitoring and dynamic visualization in critical infrastructures. This will involve deploying IoT-enabled smart sensors with decentralized processing to stream high-frequency data into a BIM environment for immediate structural analysis. Advanced algo-rithms such as autoregressive and eigensystem realization techniques will be used for continuous condition assess-ment and model updating. Additionally, cloud-based data handling and integration with regional seismic sensor net-works will enhance processing efficiency, early-warning capability, and stakeholder decision-making.

Requirements

Research Field Engineering » Civil engineering Education Level Master Degree or equivalent

Skills/Qualifications

• MSc. degree (or equivalent) in Civil Engineering, Structural Engineering, or related fields.
• Proven experience or great interest in the topics of Structural Health Monitoring (SHM), Building Information Modelling (BIM), numerical simulations and real-time monitoring systems with the use of sensor technology.
• Proficiency and/or interest in programming languages (e.g. MATLAB, Python, R) and software platforms such as Autodesk, ALLPLAN, ANSYS, REVIT, Tekla, Rhino, Grasshopper, etc.
• Basic knowledge in the areas of signal processing, time series analysis or machine learning for the interpretation of structural data is desirable.
• Basic knowledge of numerical analysis and design of structures for special load cases (earthquakes, explosions) is desirable.
• You are fluent in written and spoken English.

Languages ENGLISH Level Good

Additional Information

Eligibility criteria

Eligibility criteria

The applicant must be a Doctoral Candidate (i.e. not already in possession of a doctoral degree at the date of the recruitment).

At the time of recruitment, the researcher must not have resided or carried out their main activity (work, studies, etc.) in the country of their recruiting organization for more than 12 months in the three years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not considered.

Selection process

Selection process

• Academic performance (diplomas, university transcripts, etc.)
• Research and industrial experience
• Awards and fellowships
• Publications and patents
• Research, leadership, and creativity potential
• English knowledge
• Other relevant items based on the specific candidate

The application deadline is 11th October 2026 23:59 CET. All applications will be analysed after the application deadline, and the shortlisted candidates will be invited to a teleconference interview. At the end of the selection process, all the applicants will be informed of the outcome of their application by return email.

DISCLAIMER

By applying for this position, the applicants:

• Give their consent to circulate their application and personal data within the members of the consortium.
• Declare to fulfil the eligibility requirements defined by above.
• Agree to spend an academic secondment of 3 months as well as an industrial secondment of another 3 months within the REUNATECH consortium as described.
• Agree that they will comply with the planned PhD enrolment.

Each application must include the following material:

• Curriculum vitae setting out the educational qualifications as well as any additional scientific achievements and publications. The CV must clearly indicate the applicant’s vitae name, surname, gender, date of birth, nationality, country of residence in the last three years).
• Evidence of English proficiency.
• Copy of Bachelor’s and Master’s certificates.
• Copy of Bachelor’s and Master’s transcripts.
• Any additional material useful for the assessment of the candidate (e.g., recommendation letters, research project/statement in agreement with the requirements specified in previous text). All material must be included in one compiled pdf file. The file must be named Surname_DC4.pdf

The selected applicant will be enrolled into the Ph.D. program at the Chair of Structural Analysis and Dynamics, RWTH Aachen University to conduct the planned research activities.

Academic secondment

DC4 will undertake a 3-month research secondment at an academic partner of the REUNATECH project. The planned host institution for this secondment is Aristotle University of Thessaloniki, Thessaloniki, Greece.

DC4 will undertake a 3-month research secondment at an industrial partner of the REUNATECH project. The planned host institution for this secondment is ALLPLAN, Germany.

Work Location(s)

Number of offers available 1 Company/Institute Chair of Structural Analysis and Dynamics, Faculty of Civil Engineering Country Germany City Aachen Postal Code 52074 Street Mies-van-der-Rohe-Str. 1 Geofield