We are seeking candidates for a post-doc position with a duration of three years. The position is associated with the EU FP7 STREP-project entitled 'AMIDST: Analysis of massive data streams' under the work program 'Scalable data analytics'. The aim of the project is to develop a scalable framework that facilitates efficient analysis and prediction based on information captured in streaming data. The overall duration of the project is three years and is a collaboration involving three academic partners as well as four industrial partners.
As a post-doctoral researcher in the project you will be developing models and algorithms for prediction and monitoring of streaming data. The main focus will be the development of (approximate) inference and learning techniques for probabilistic graphical models, where the algorithmic developments will be driven by the specific use-cases supplied by the industrial partners in the project. Key parts of the developed algorithms will be implemented in an open source software system.
Requirements:
- PhD in computer science, statistics, or related field.
- Experience with probabilistic graphical models.
- Experience in data mining/machine learning.
- Excellent programming skills.
- Publication record in peer-reviewed conferences and journals.
- Excellent level of both written and spoken English (at least at level B2)
- Ability to work both independently and in collaboration with others.
Locale:
The position is formally associated with the Department of Mathematics at the University of Almeria (http://www.ual.es/matematicas), Spain.
Starting date and duration:
The position will be available from January 1, 2014.
How to apply:
Applicants should send their application including a CV, a cover letter, and contact information of at least two references by email to Antonio Salmeron (This email address is being protected from spambots. You need JavaScript enabled to view it.). Use the subject "AMIDST postdoc application".
Application deadline: The application deadline for the positions is October 21, 2013. The successful applicant should start January 1, 2014. The project ends December 31st 2016.
Inquiries for additional information should be sent to Antonio Salmeron (This email address is being protected from spambots. You need JavaScript enabled to view it.).