Postdoctoral Positions, Chengdu University of Technology, China (2017)

The State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (SKLGP), Chengdu University of Technology, Chengdu, Sichuan, China, is seeking five full-time Postdoctoral Research Fellows to join the laboratory research groups on engineering geology, remote sensing, rock and soil mechanics. The posts are fixed-term for 12 months, with possibility of renewal up to three years, starting from 1st March 2018 or as soon as possible thereafter.

We are looking for the following research profiles:

- Profile No. 1: Numerical simulations of landslides and debris flows.

The ideal candidate should have strong programming skills with application in the fields of numerical modelling in soil mechanics and/or hydrology. The candidate is expected to have a sound knowledge of at least some programming languages (e.g. Python, R, Mathematica, Matlab, C#, Visual Basic, Java), to be able to operate comfortably on existing numerical codes and constitutive models, and to develop new advanced codes for the purposes of the research. The candidate should have a good background in engineering geology and/or geotechnical engineering, with a good knowledge of hydrological processes and hydro-mechanical coupled processes, with specific reference to landslides and related geohazards.

- Profile No. 2: Experimental soil and rock mechanics.

The ideal candidate should have a sound theoretical knowledge of soil and/or rock mechanics, and research experience, in particular, in different kinds of standard and advanced laboratory testing. The successful candidate is expected to understand the failure mechanism and dynamic process of different types of mass movements, to be able to work with constitutive models, and to be able to plan, execute, and interpret the appropriate types of laboratory tests. Experience in developing non-standard, advanced tests, also through the modification of existing devices and the design and construction of new devices constitutes an asset. Understanding of field testing and familiarity with numerical modelling complete the profile.

- Profile No. 3: Airborne and spaceborne monitoring for landslide early recognition and warning.

The ideal candidate should have a strong expertise in remote sensing techniques, particularly in data processing and interpretation of InSAR, GBSAR, LiDAR, and/or UAV imagery for landslide early recognition, warning, and monitoring purposes. In addition, the candidate should have a sound knowledge of landslide processes and be proficient in GIS-based applications and mapping.

- Profile No. 4: Sedimentology, and paleo-seismic and environmental events reconstruction.

The ideal candidate is an engineering geologist with sound knowledge of quaternary sedimentology. The successful candidate, in particular, is expected to bring a strong contribution to an upcoming project on the dating and reconstruction of the environmental effects of paleo-seismic events in Sichuan, such as large landslides, landslide dams, changes of sediment erosion, transport and deposition.

- Profile No. 5: Landslide risk assessment.

The ideal candidate is expected to have a sound knowledge of landslide hazard and risk assessment, with particular regard to data mining methods and spatial analysis. The successful candidate should be able to carry out landslide assessments at different research scales and to develop new statistical and/or physically based methods. The candidate should be an advanced user of ArcGIS or QGIS, as well as of statistical software (R, Mathematica, Matlab etc.)

General requirements

The candidates should hold (or be near the completion of) a relevant PhD/DPhil, along with appropriate experience. Researchers whose expertise matches more than one profile are especially encouraged to apply. Researchers currently working in fields outside engineering geology and soil mechanics, or with experience in the industry, but with strong skills in one of the required research focuses, are equally encouraged to apply. Please note that the working language is English. Hence, proficiency in English language is expected. The candidates are also expected to have very good communication and scientific writing skills, independent thinking and creativity.

Applications will be accepted until the positions are filled.

Further details:
http://euraxess.duth.gr