Funded PhD student position in Big Data Systems
Data systems are going through a major transition due to the challenges of Big Data processing. The volume and velocity of data generated from a variety of sources are far outpacing the available storage and processing capacity – the term Big Data is used to signify this. Data science enables one to bring structure to large quantities of data and make analysis possible. However, existing data systems are not able the meet the computational challenges of Data Science applications. The goal of the research will be to devise new approaches to data processing that can support analysis on data at massive scales.
As a PhD student, your research will focus on developing a systems platform for high performance Data Science. The position is fully funded.
The research will be conducted at the Big Data Lab of the Faculty of Computer Science, University of New Brunswick, Fredericton. The University of New Brunswick, Fredericton is one of the top comprehensive universities of Canada. The Faculty of Computer Science is the first faculty of computer science in Canada and a leader in Atlantic Canada since 1968 with the oldest and most successful COOP program in Atlantic Canada.
You have a solid background in Computer Science, Computer Engineering or in a related discipline. It is expected that you have a Master's level degree from a reputed university with excellent grades. An exception can be made for truly outstanding candidates with a Bachelor's degree, but without a Master's degree.
Also, you should have strong programming and software implementation skills. Programming expertise, particularly in Java is necessary, along with experience in C/C++ and Python is desired. Any previous experience or internship in Data Science, machine learning or data mining is appreciated. Previous research experience or work experience in the software industry is a strong asset.
Qualities such as being able to take initiatives and work independently, a genuine sense of curiosity in the subject matter, as well as debugging skills, and excellent analytical skills are highly valued.
with your CV, and Bachelor's and Master's degree transcripts, email to email@example.com
Applications are being considered immediately, and should be submitted no later than April 30, 2017.