Project description: Many kilometres of underground infrastructure in a large-scale network (e.g., tunnel, pipelines) may heavily encounter performance degradations during long-term service. In the past, the resultant structural condition data, historical borehole logs and relevant hydrogeological reports have been used to evaluate the long-term structure serviceability. However, hydrogeology uncertainty and variation along the tunnel infrastructure present a significant challenge to the understanding of ground-tunnel interaction on a very large city scale. This research postgraduate student project will specifically address the impact of hydrogeology spatiotemporal variation on large-scale tunnel infrastructure over many kilometres using cutting-edge computer vision models and machine learning algorithms. The research outcome aims to give more insights into large-scale tunnel design and maintenance using big data analytics along with geoengineering knowledge than previously available by conventional methods.

Position Description: In this project, the research master will focus on hydrogeological data transformation, and interpretation. The one-year research master (may be extended to a PhD position) will be based at UCC. She/he will undertake this CERN project along with another research master, a Postdoc under the joint supervision of CERN and UCC.

Candidate Experience: The postgraduate student candidate should have a minimum 2.1 in an honours Bachelor’s degree in Civil Engineering / Computer Science, or an equivalent standard from an overseas university. The postgraduate student whose first language is not English must provide evidence of English language proficiency (e.g. IELTS or TOEFL) according to UCC entry requirement.  Some experience in structural health monitoring and machine learning would be an advantage.

Application:

• Master / PhD student applicant

Please e-mail a CV (max. 2 pages) and a cover letter outlining your experience and motivation to Dr. Zili Li (zili.li@ucc.ie). Early application is highly encouraged.

Delft University of Technology is seeking candidates for a new Assistant or Associate Professor of Geotechnical Uncertainty.

There is an increasing need to quantify the performance of geotechnical structures and infrastructures within a reliability-based framework, so that risks can be explicitly quantified for guiding effective mitigation measures. Of fundamental importance is the need to understand uncertainties and their impacts at the soil mechanical behaviour level and at the geotechnical site level, as an essential precursor to reducing the uncertainty in soil mechanical response as well as to understanding uncertainty propagation to the structure level.

The position is proposed to investigate soil mechanical material behaviour and geotechnical structure response, accounting for uncertainties relating to, for example, data, measurements, statistics, transformation from measured data to derived properties, and external (including environmental) loadings. The position takes into consideration the random, spatial and systematic components of uncertainty, as well as uncertainties relating to the cross-correlations of material properties, and it develops new solutions to better control and reduce the geotechnical uncertainty and risk in geotechnical assessments and construction processes.

More details can be found at link.

Last day for applications: 15 September 2024.

What:     PhD call
Where:    Napoli, Italy
Duration: 4 years
Salary:   € 19,000 yearly
Deadline: 20/08/2024 – 23:59 CEST
Website: 
https://www.ssmeridionale.it/avcp/bando-di-concorso-xl-ciclo-dottorato-ssm/
Contatct details: merc@ssmeridionale.it

A call for applications for 10 Doctoral Programs has been announced by the Scuola Superiore Meridionale (SSM) in Naples (Italy). Specifically, the program, titled Modeling and Engineering Risk and Complexity (MERC), emphasizes an interdisciplinary approach to studying and managing complex systems, designing and engineering resilient systems, and analyzing and managing risks and cascading effects. Within this context, geotechnical methods can be utilized to address hazard assessments related to landslides, seismic site responses, and other issues.

Detailed hazard assessments can be further integrated into risk analyses for structures and lifelines to evaluate both their serviceability and ultimate state. This can also lead to the development of risk mitigation strategies through a decision support system.

Please find enclosed two PDF files about the PhD scholarship (10 Programs), including detailed information about the MERC (Modeling and Engineering Risk and Complexity) program.

At the Computing Center for Geotechnical Engineering of Zhejiang University China, we are currently looking for a Postdoctoral Fellow to join our team and work on multiscale modeling of clayey geomaterials.

Please find attached the full description of the position.

Two PhD positions in geotechnical engineering are open at Politecnico di Bari, as part of the PhD Programme in Risk, Environmental, Territorial and Building Development at the DICATECh Department. The positions are funded for 3 years: it will be mainly based at Politecnico di Bari (Italy). The research will benefit from the collaboration between research groups in Italy and abroad and companies in the industrial sector. The possibility of recycling mussel shells, suitably treated, as a partial replacement of commercial cements has been recently investigated for stabilising dredged marine sediments with less environmental impact but similar same chemo-hydro-mechanical effectiveness. Based on these results, the two PhD students will contribute to the optimisation of the design of innovative solutions for the chemo-hydro-mechanical stabilisation of sediments and the reuse of other blue waste materials, by multiscale testing and modelling.

Applications are welcome to apply for the 5-year project “GREENLIFE4SEAS – GREen ENgineering solutions: a new LIFE FOR SEdiments A Shells”, recently funded in the field of the LIFE EU PROGRAMME.  For further details about the project, please visit: https://greenlife4seas.poliba.it/en/

We are looking forward to receiving applications from highly motivated and curious candidates with master’s degree (or equivalent) in civil or environmental engineering and specialisation in geotechnics or related area.

Candidates can find more details on the PhD position and the submission procedures at the following link:  https://www.poliba.it/sites/default/files/40_phd_call_rif._rd_697.pdf (see the RESEARCH TOPICS AS PER PLACES CO-FINANCED BY PUBLIC/PRIVATE BODIES grants NUMBER 2 and 4, in the section Risk and Environmental, Territorial and Building Development PH.D. Call for application PhD Programmes (XL cycle).

Application deadline: July 17^th  2024 

Contact details for further information: claudia.vitone@poliba.it

A PhD position on “Characterization of thermo-hydro-mechanical properties of longwall goaf for geothermal energy storage in abandoned coal mines” is open in collaboration between UMons and ULiège in Belgium.

This PhD project takes place in the field of minewater geothermal systems that aim storing heat in flooded abandoned mines. More specifically, longwall goafs will be investigated as potential geothermal reservoirs through their characterization from mechanical, hydraulic and thermal point of views.

The position has a duration of 4 years and the PhD is expected to start on 1st October 2024.
Application deadline (detailed resume + motivation letter + names and e-mail addresses of two referees who may be contacted by those in charge of evaluating applications): 15th August 2024.
Further enquiries on the vacancy and application must be directed to Prof. Pascal Goderniaux (pascal.goderniaux@umons.ac.be) and Prof. Bertrand François (Bertrand.francois@uliege.be).

More information on this .pdf file.

We encourage applicants with experience in applying machine learning to optimize numerical algorithms, such as FEM. We welcome applicants from diverse backgrounds, including geosciences.

The Shenzhen Key Laboratory of Advanced Machine Learning and Applications at the Department of Applied Mathematics of Shenzhen University and the KAUST Innovation Hub in Shenzhen invite applications for a postdoctoral position in Machine Learning and Numerical Algorithms with Applications.

Position Details:
Duration: Full-time for two years
Salary: 338,000 RMB – 420,000 RMB per year (approximately 47,000 – 58,000 USD)
Number of Position: 3 Positions
Teaching Duties: None
Responsibilities:
The successful candidate will engage in both theoretical research and practical implementation of machine learning methods, with a focus on: training algorithms, numerical algorithms, signal processing, image processing and related areas.

Additional Opportunities:
The successful candidate can choose to enroll in the Visiting Scholar Program sponsored by the KAUST-SZU Joint Lab for Mathematics, Data, and Application (MDA). The candidate can visit King Abdullah University of Science and Technology (KAUST) and conduct research co-supervised by KAUST researchers.This program lasts for 3-6 months and includes an additional stipend during the visit, along with free housing provided by KAUST.

Interested applicants should send their C.V. to: Dr. Xinliang Liu: xinliang.liu@kaust.edu.sa and Dr. Jian Lu: jianlu@szu.edu.cn; jianlu1979@163.com.
We look forward to your application.

Research Topic: Dynamic modelling of submarine landslides and induced tsunami propagation

Scholarship Coverage: Full tuition and an annual stipend of £39,855.60 (before tax) for 3 years, open to both local and international students.

Suitable Fields: Ideal for graduate students with backgrounds in mechanics, geotechnical engineering, geological engineering, mechanical engineering, or relevant engineering fields with experience in computer simulation.

Application Deadline: July 15, 2024 (British time)

Application Link: https://www.liverpool.ac.uk/study/postgraduate-research/studentships/induced-tsunami-propagation/

Additional Information: This scholarship is funded by UKRI. It is also a part of the EU project: Poseidon – Doctoral Network.

Supervisors:
Dr. Xue Zhang (https://www.liverpool.ac.uk/engineering/staff/xue-zhang/)
Prof. John Bridgeman
Dr. Yan Zhou

Contact Email: xue.zhang2@liverpool.ac.uk

The University of Bath (United Kingdom) is looking for a Lecturer/Senior Lecturer (Assistant/Associate Professor) in Geotechnical Engineering to conduct world leading research and help facilitate the education of our students.

We are specifically looking for someone to conduct research and teach in one or more of the following fields:

• Remote sensing in geotechnics
• Big data and/or AI for geotechnics

More information can be found in the advert (https://www.bath.ac.uk/jobs/Vacancy.aspx?id=25546&forced=2, job reference FM11758). The closing date for applications is Tuesday 25 June 2024.

Exciting Opportunities Available! Are you passionate about renewable energy and eager to contribute to cutting-edge research? The Geotechnical Centrifuge laboratory at Gustave Eiffel University is now hiring a motivated PhD student to delve into the fascinating world of anchors for floating wind turbines.

Join our dynamic team and be part of the only geotechnical centrifuge group in France dedicated to pushing the boundaries of research in renewable energy development.

Role Description:

This is a full-time on-site role for a PHD at the geotechnical centrifuge at CG lab – Gustave Eiffel University located in Nantes. As a PHD, you will be responsible for conducting research and experiments using the geotechnical centrifuge and numerical modelling. This includes performing parametric studies, analyzing experimental data, comparing results with design rules and analytical models, and contributing to the advancement of geotechnical engineering numerical models. You will work closely with a team of researchers, engineers, and technicians.

Fully funded from October 2024 to October 2027.

Contacts: 

Dr. Christelle Abadie: christelle.abadie(at)univ-eiffel.fr
Dr. Zheng Li: zheng.li(at)univ-eiffel.fr 
Dr. Matthieu Blanc: matthieu.blanc(at)univ-eiffel.fr 
Dr. Luc Thorel: luc.thorel(at)univ-eiffel.fr 

For more details, click here: https://cg.univ-gustave-eiffel.fr/opportunites/phd-offers and see the attached PDF file.

Application closing date: June 30, 2024