UNESCO Chair Scholarship in Analytics and Data Science
Mathematics and Statistics,Statistics,Computer Science,Computer Science,Information Systems,Information Management and Librarianship,Information Science
Short info about job
Company: University of Essex
Hours: Full Time
Type / Role: PhD
Phone: +44-1394 7549774
Fax: +44-1535 2839660
Detail information about job UNESCO Chair Scholarship in Analytics and Data Science. Terms and conditions vacancy
PhD studentship in analytics and data science for January/April 2018 entry.
The Institute for Analytics and Data Science (IADS) is accepting applications from candidates interested in pursuing graduate studies at the PhD level in the area of data science, analytics and big data. We are looking for outstanding and motivated candidates who are interested in undertaking research in topics in machine learning, predictive modelling and analytics, natural language processing, text analytics and related areas. Strong programming skills in high level programming languages (Python, C, Java) is a requirement and prior experience in undertaking research and projects in the aforementioned areas is desirable. Successful applicants will have an excellent first degree and/or a Masters degree in computer science, statistics, artificial intelligence, quantitative social science or closely related subject in engineering/science.
The Institute has the following fully funded scholarship available: UNESCO Chair Scholarship in Analytics and Data Science.
This is a fully funded 3-year studentship (covering Home/EU and overseas fees as well as stipend of £14,553) for applicants from developing and transitioning countries. Applications should be submitted to the School of Computer Science and Electronic Engineering (CSEE) with a clear indication that applicants would like to be considered for the UNESCO Chair Scholarship in Analytics and Data Science. Applications need to be submitted online: www.essex.ac.uk/csee/how_to_apply/default.aspx
For further information or to discuss a topic prior to application, please contact Prof Maria Fasli: [email protected];
The deadline for submitting applications for this studentship is the 10th of October 2017. If you have already submitted an application to the University and you wish to be considered this award, please contact Prof Maria Fasli to register your interest and discuss a potential topic of research.
Please note that we accept applications for PhD studies for topics in data science, analytics and big data throughout the academic year.