Three postdoctoral positions in seismology: New methods for passive seismic exploration
The Dublin Institute for Advanced Study invites applications for 3 postdoctoral positions in seismology. The positions are in a new international project PACIFIC (Passive seismic techniques for environmentally friendly and cost efficient mineral exploration), conducted by DIAS jointly with the University of Grenoble and a number of companies. The research will be performed at the Geophysics Section at DIAS, which has a broad, growing programme in the development and application of seismic imaging methods, from the deposit scale to regional and global scales.
The PACIFIC consortium will develop new, low-cost and environmentally friendly tools for exploring for mineral deposits beneath the surface. The approach will build on the "traditional" passive seismic method, capable of providing useful broad-brush background information about the geological and structural setting of mineralised regions but lacking the resolution needed for reliable identification of ore bodies. New developments planned here should improve on this and will also have advantages over active-source techniques, namely the relatively low cost and minor impact on the environment. Through the participation of mineral exploration companies in the project, the techniques will be validated on real-world test sites. The new methods can then be applied at a variety of scales, in both applied and basic Earth-science research.
The position IDs and the planned scope of research for each position are as follows.
Postdoctoral position 18PA1: Effective use of seismic methods for mineral exploration. Evaluation of proven approaches and workflows used in active seismic surveys. Adaptation and implementation of the methods for imagery with passive reflection data. Building realistic geophysical models relevant to mineral exploration activities (comprising structure, physical properties, and wave propagation).
Postdoctoral position 18PA2: Modelling body waves in ambient seismic noise. Generation of synthetic ambient noise data in 'simple' geological models, using an analytical simulator where surface waves, body waves and near field effects can be separated. Generation of synthetic ambient noise in complex models of the mine area using full wavefield numerical simulators where complex geological features can be imaged. Testing the performance of body wave extraction methods on these synthetic datasets. Assessment of the ability to extract reflections to image detailed features of interest to mine geologists.
Postdoctoral position 18PA3: Auto-correlation of ambient seismic noise for imaging the reflectivity of the subsurface. Development of methods for the modelling and inversion of the waveform of the auto-correlation function. The methods will be suitable for applications to massive datasets, from the deposit scale to global scale, and from industrial to basic-science problems. Application of the methods to data from very large, dense arrays in mine areas. Estimation of the 1D reflectivity structure under each seismic station and the 3D structure beneath the entire array.
Each position can be filled either at the New Postdoc level (duration: 3 years; salary: €36,489 in the first year, with annual increments thereafter) or at the Experienced Postdoc level (duration: 2.5 years; salary: €43,394 in the first year, with annual increments thereafter), depending on the applicant's experience. Start date: June 1 or as soon as possible thereafter.
Qualifications for all three positions: a PhD in geophysics or a related field is required. Substantial computing and programming experience and a good command of English are essential. A publication record commensurate with career stage is expected. Experience in seismic imaging is desirable.
To apply: e-mail a complete academic CV, including a list of publications, a statement of research interests, and the names and contact details of 3 academic referees to firstname.lastname@example.org, with "Postdoctoral position
DIAS is an equal opportunity employer.