PhD Scholarships in Computational Sciences at Cyprus Institute, 2017
The Cyprus Institute is offering two scholarships for its PhD program in Computational Sciences Co-funded by the EU H2020 VI-SEEM Project. Successful candidates will be given the opportunity to study at The Cyprus Institute, applying their research towards the activities of the EU H2020 VI-SEEM project.
The Computational Sciences Doctoral program educates potential scholars in mathematical modelling and in computational methods and techniques needed to solve complex scientific and engineering problems, as well as in management and visualization of complex data sets. Doctoral candidates are trained in the use of state-of-the-art computational methods and advanced computer technologies, and perform research within internationally recognized research teams in the fields of inter alia Novel Computer Technologies, Lattice QCD, Climate Modelling, Digital Cultural Heritage, Computational Chemistry, Computational Fluid Dynamics with Applications in Energy Medical Imaging and Computational Biology.
VI-SEEM aims at creating a unique Virtual Research Environment (VRE) in Southeast Europe and the Eastern Mediterranean (SEEM), in order to facilitate regional interdisciplinary collaboration, with special focus on the scientific communities of Life Sciences, Climatology and Digital Cultural Heritage.
Course Level: Scholarships are available for pursuing a PhD programme.
Study Subject: Creation of Bioinformatics Infrastructure Facility (BIF) for the promotion of Biology Teaching through Bioinformatics (BTBI) Scheme of BTISet
Scholarship Award: Successful candidates will receive financial support for up to three years which is the minimum duration of the PhD studies at the CyI. The financial support is in the form of a stipend of 14,000 EUR per annum for living expenses.
Scholarship can be taken in the Cyprus
Eligibility: Applications are welcome from outstanding candidates worldwide with relevant scientific background and a keen interest in computational science for studies starting either in the Spring Semester 2016-2017 or in the Fall Semester 2017-2018.