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University of Dundee
Dundee
On-site
GBP 40,000 - 60,000
Full time
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Job summary
An established industry player invites applications for the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship in Geotechnical Engineering. This exciting role focuses on innovative research areas such as offshore geotechnics and machine learning applications in geotechnical analysis. With a commitment to advancing cutting-edge research, the position offers a unique opportunity to contribute to significant projects addressing real-world challenges in foundation design and slope stability. If you are passionate about geotechnical engineering and eager to push the boundaries of research, this opportunity is perfect for you.
Qualifications
- Candidates should have a PhD or equivalent in a relevant field.
- 1-4 years of research experience is required.
Responsibilities
- Conduct research in geotechnical engineering with a focus on offshore geotechnics.
- Develop methods for reliability-based geotechnical analysis.
Skills
Education
Job description
Organisation/Company: University of Dundee
Department: Science and Engineering
Research Field: Engineering » Civil engineering, Engineering » Geological engineering
Researcher Profile: First Stage Researcher (R1)
Positions: Postdoc Positions
Country: United Kingdom
Application Deadline: 1 Sep 2025 - 18:00 (Europe/London)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 37.5
Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA
Is the Job related to staff position within a Research Infrastructure? Yes
We invite applications for the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship in the field of Geotechnical Engineering. Candidates with expertise and a strong research interest in the following areas are highly encouraged to apply:
- Offshore Geotechnics: Addressing challenges in foundation and anchor design for renewable energy infrastructures such as floating offshore wind turbines.
- Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modeling, physical testing, or probabilistic approaches.
- Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems.
- Reliability-Based/Probabilistic Geotechnical Analysis: Developing methods to incorporate uncertainty and variability in geotechnical design, ensuring safer and more economical solutions.
Interested candidates should contact Dr Pengpeng He via email at phe001@dundee.ac.uk for further details and to discuss potential research topics. Please include your CV and a brief description of your research background and interests.
Deadline: 1 September 2025
Join us in advancing cutting-edge research in geotechnical engineering!
E-mail: phe001@dundee.ac.uk
Research Field: Engineering » Civil engineering
Education Level: PhD or equivalent
Languages: ENGLISH Level Good
Years of Research Experience: 1 - 4
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