Post-Doctor in Exploration Geophysics
Integration of space-borne remote sensing data with geophysical and geological data for exploration of IOCG mineralizations
The research subject Exploration Geophysics is part of the division of Geosciences and Environmental Engineering (http://www.ltu.se/research/subjects/exploration-geophysics?l=en) The division belongs to the department of Civil, Environmental and Natural Resources Engineering that has about 350 employees.
Exploration geophysics is a subject based on the laws and methods of physics, which in combination with geological information can be used to locate natural resources such as mineral deposits, hydrocarbon and water. The focus of research is on the development of geophysical methods for exploration of mineral deposits.
Luleå University of Technology (LTU) has obtained funding for a one year Post-Doctoral Research Scholarship from the RawMATCop Programme 2018-2020 from EIT RawMaterials. General information about the Project can be found at https://eitrawmaterials.eu/wp-content/uploads/2018/06/RawMatCop-Call-for-Post-Docs-and-Placements-to-EIT-RM-Partners-FINAL-20180614.pdf
The Post-Doctoral project specifically related to the announced position shall establish optimum procedures for integrating space-borne remote sensing Sentinel-2 data with other geoscientific data and information for Iron Oxide Copper Gold (IOCG) exploration. In focus of this project is Sentinel-2 data from the high Arctic where problems of interpreting remote sensing data due to vegetation cover in general is at a minimum and where geological exposures are excellent. The developed procedures shall be verified and evaluated based on data from Greenland.
The placement of the position will be at the Department of Civil, Environmental and Natural Resources Engineering at Luleå University of Technology with supervision provided by scientist within the two subject areas Exploration Geophysics and Ore Geology.
More information about each subject can be found here
The PostDoc will be supported by the following team of researchers:
Feature extraction plays an important role in utilizing of remote sensing data and other data sets with a continuous spatial distribution for mineral prospectivity mapping as well as in structural mapping.. An important part of the project is to investigate which and in particular which combinations of features are indicative of mineralization and how these features can help in the structural interpretation and target identification. Machine learning such as deep convolutional learning algorithms and advanced multi-variate statistical methods shall be utilized to investigate which combinations of data features are most suitable in the search for and understanding of IOCG mineralisation.
Areas selected are (1) Inglefield Land in Northwest Greenland and (2) South Greenland. Large amounts of auxiliary geoscientific data are available from these areas and constitute a base for an integrated approach in utilizing remote sensing data for mineral exploration.
Inglefield Land has been subject to a number of geophysical and geological investigations with the aim of providing data for mineral exploration. A combined airborne magnetic and transient electromagnetic survey was performed 1994 followed by detailed aeromagnetic and an airborne gravity survey funded by industry. Geochemical data are furthermore available together with results from geological mapping campaigns. The south Greenland area is covered with regional aeromagnetic survey data and detailed combined airborne magnetic, frequency domain and radiometry data are available from the Ivigtut area. A large geochemistry data-set from stream sediments and rock samples are furthermore accessible.
The amount of data to be analysed in the project is very large and the project will therefore utilize the HPC2N Kebnekaise super computer for the analyses. HPC2N (http://www.hpc2n.umu.se/ ) is one of six national centres funded by the Swedish National Infrastructure for Computing (SNIC), a metacentre under The Swedish Research Council. The centre is established as collaboration between universities and research institutes who form a competence network for high performance and parallel computing, grid and cloud computing, scientific visualization and virtual reality.
Expected output in terms of publications from the project include a manuscript describing specific results from two areas in Greenland analysed in the project and a manuscript on general conclusions made from the multi-variate data analyses.
The main task for the Post-Doctoral researcher will be to perform processing, analyses and interpretation of Sentinel-2 data for the two areas mentioned above. The Sentinel-2 data shall be integrated with other geoscientific data. The multi-disciplinary approach implies that the Post Doc researcher candidate must be able to work in a team of scientists specialized in different geoscientific topics. The Post-Doctoral researcher is expected to take active part in development and implementation of strategies for optimum data integration and analyses.
Moreover, the RawMATCop Manager, will support the organization and initiation of (estimated maximum) three workshops internally per 12 months, whereby the RawMATCop post-doctoral researcher will be present. These workshops will be used to monitor progress and ensure dialogue between the different projects, whilst also sharing interim and final results to enable the 'RawMATCop Short-Course' to be developed. The workshops should also ensure that all projects are delivering wanted end-user products/services and disseminating the results amongst the RawMATCop Projects and to a wider user group.
Researchers who receive the RawMATCop post-doctoral and the RawMATCop placements should participate in all workshops. Additionally, virtual meetings will be planned, especially to establish an ongoing cooperation with the RawMaterials Academy.
Applicants must have excellent academic credentials and recently have taken their PhD degree or an equivalent degree in the field of Earth Sciences. Preference is given to applicants that have obtained a PhD no more than three years before the end of the application period in the case of equal qualifications. Experiences from interpretation of large digital datasets and utilization of high performance computing are of advantages. Experience with programming and software development is advantageous.
The position includes a fulltime fixed term employment for 1 year with a possible extension (up to maximum 2 years). The planned start of the employment is 1 November 2018.
For additional information, please contact:
Professor Thorkild M. Rasmussen (Exploration Geophysics)
Luleå University of Technology is actively working on equality and diversity that contributes to a creative study- and work environment. The University's core values are based on respect, openness, cooperation, trust and responsibility.
In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.
We prefer that you apply for this position by clicking on the Apply Now button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Your application, including diplomas, must be written in English or Swedish. Mark your application with the reference number below.
Final day to apply: 25 October 2018