PhD Stipend in Machine Learning Models for Structural Reuse of Timber

PhD Stipend in Machine Learning Models for Structural Reuse of Timber

At the Facualty of Engineering and Science, Department of the Built Environment (BUILD) at Aalborg University’s campus in Aalborg, a PhD stipend in Machine Learning Models for Structural Reuse of Timber is available within the doctoral programme Civil Engineering. The stipend is open for appointment from 15 October 2024 or soon hereafter.

Jobbeskrivelse
The candidate will contribute to a project aimed at increasing the reuse of timber in construction by non-destructive testing (NDT) methods to assess the strength of reclaimed wood. This involves:

• Conducting experimental studies on reclaimed timber beams to gather data for strength model development based on NDT
• Utilizing machine learning to calibrate models that predict the strength of reused timber based on non-destructive test results
• Applying non-destructive test methods relevant for timber, such as density measurement, fiber scanning, and acoustic response testing
• Validating models established using machine learning and non-destructive test methods using experimental data, quantifying the model uncertainty and investigating the influence on verification of reliability by the partial factor method
• Investigating and optimizing the use of reclaimed prefabricated timber components with respect to the available wood dimensions. Further, optimizing engineered wood products based on reclaimed timber

The position is financed by the research project "Wood Vita".

Qualification requirements
Structural Engineering:
A background in structural engineering is essential. Candidates must have expertise in structural analysis and design, including Finite Element Method (FEM) calculations for assessing the structural integrity and safety of timber structures.

Machine Learning:
Proficiency, or a strong interest in developing such skills, in machine learning models for materials science and structural engineering applications.

Timber Engineering:
Understanding of timber properties, structural behavior of wooden constructions.

You may obtain further information from Associate Professor Dario Parigi, Department of the Built Environment (BUILD), phone: +45 9940 7234, email: [email protected], concerning the scientific aspects of the stipend.

PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

Shortlisting will be applied. This means that subsequent to the deadline for applications, the head of department supported by the chair of the assessment committee will select candidates for assessment. All applicants will be informed whether they will be assessed or not.

For further information about stipends and salary as well as practical issues concerning the application procedure, please contact Ms. Annemarie Davidsen, the Doctoral School at the Faculty of Engineering and Science, email: [email protected].

For more information of the Doctoral School of Engineering and Science: www.phd.engineering.aau.dk

The application is to be submitted only online by using the "Apply online" button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

Løn og ansættelsesvilkår
Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ansøgningsfrist
2024-10-07

Ref. nummer
6-24063

Afdeling
Department of the Built Environment