Fully Funded PhD Scholarship: Computer Vision-Based Analysis of Multimodal Images of the Martian Surface (Joint Research Study)

Swansea University - Computer Science

This scholarship is funded by Swansea University and Communauté Université Grenoble Alpes.

Subject areas: Computer Vision, Machine Learning, Planetary Sciences, Orbital Imaging, Hyperspectral Imaging.

Start date: October 2018 or January 2019.


Successful Mars observation missions in the last two decades have acquired large image datasets. These images allow research on the Martian atmosphere and surface, including climate, geology, geomorphology, mineral distribution, etc. They are extremely heterogeneous, covering different spectral domains and having huge differences in their spatial and spectral resolutions. They are also complementary, and the fusion and joint interpretation of this multimodal data are fundamental for the characterization of the planet. However, this joint analysis is still in a stage of infancy since products coming from the separate analysis of individual instrument datasets are most of the time simply superimposed during visualization. The supplementary information provided by combining complementary images of different sources is thus not well exploited. In addition, the dramatic increase in the amount and complexity of the data calls for the development of new intelligent analysis methods.


The PhD candidate will receive a multidisciplinary training in visual computing and machine learning at Swansea University, and in computational physics and planetary imaging at Université Grenoble Alpes. The team of supervisors will assist in developing multidisciplinary team work skills as well as technical experience in their respective specialties. The student will be able to engage in any combination or all WPs based on their background and interests, under the guidance of the supervisors who will ensure the coherence and quality of the final doctoral project.


Academic requirements:

As this is a joint degree, applicants must meet entry/funder requirements of both Universities: a master's degree or equivalent in computer vision, machine learning, planetary imaging, physics modelling and simulation. Candidates should be able and willing to broaden their experience and skills across the computer science and physics domains.

We would normally expect the academic and English Language requirements to be met by point of application. For details on the University’s English Language entry requirements, please visit - http://www.swansea.ac.uk/admissions/englishlanguagerequirements/.

Residency criteria:

Due to funding restrictions, this scholarship is open to UK/EU candidates only.

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