The expected outcome of the research is the development of advanced data analytics services for Data Science orchestrated using the concept of micro-services and workflows. Services must be parametrisable and implement specific machine learning and prediction algorithms (e.g., SVM, deep learning, …). Services must also be dynamically composable into reusable workflows which can run on top of OpenStack using recent advances in the field of process management (such as Mistral or Airflow).
The research will be conducted closely in collaboration with Prof. Jorge Cardoso of the Huawei German Research Center (GRC) in Munich, Germany. Results of the research will be tested in a large-scale computing platform such as the Open Telekom Cloud from Deustche Telekom. Collaboration will also be undertake with the University Institute of Lisbon ISCTE.
University of Coimbra
The University of Coimbra (UC) is a Portuguese public higher education institution with more than 700 years of experience in education, training and research. The first and the only Portuguese-speaking university until the early 20th century, UC has affirmed its position over the years with a unique mix of tradition, contemporaneity and innovation.
- Curricular elements (final average classification in the BSc and MSc degrees): 30%
- Scientific curriculum (scientific publications, research projects, etc.): 20%
- Proof of proficiency in data science and machine learning: 15%
- Experience in similar R&D projects: 7.5%
- Motivation letter: 2.5%
- Interview (if applicable: only the three top ranked candidates will be interviewed): 25%
How to Apply
Send an e-mail to Prof. Rui Pedro Paiva (email@example.com), with your CV containing clear information regarding the selection criteria, with “DS4NP grant” in the subject.
November 8, 2016