Decision Support Systems (DSS) are used to provide recommendation for users to make decisions in complex contexts. In the particular area of Big Data, DSS can help to choose the best big data process for a particular organization. This decision may depend on many different factors. Therefore, it is necessary to make a multi-criteria decision that grows in complexity as more tools appear in the market for big data analytics. It is not only about the step to be done in the analytics process from a technical perspective (i.e. choosing whether a data set requires pre-processing, understanding algorithms available, etc) but it is also about understanding other aspects that may impact company’s performance such as for instance the energy consumption required to perform the process.
In this project, we will study multicriteria DSS that are able to take into account multiple aspects, including energy consumption, to help companies make decisions on how to build big data analytics processes.
Description
Decision Support Systems (DSS) are used to provide recommendation for users to make decisions in complex contexts. In the particular area of Big Data, DSS can help to choose the best big data process for a particular organization. This decision may depend on many different factors. Therefore, it is necessary to make a multi-criteria decision that grows in complexity as more tools appear in the market for big data analytics. It is not only about the step to be done in the analytics process from a technical perspective (i.e. choosing whether a data set requires pre-processing, understanding algorithms available, etc) but it is also about understanding other aspects that may impact company’s performance such as for instance the energy consumption required to perform the process.
In this project, we will study multicriteria DSS that are able to take into account multiple aspects, including energy consumption, to help companies make decisions on how to build big data analytics processes.
To apply, please email a cover letter, CV, contact address of at least two professional references and copies of degree certificates to Dr. María S. Pérez. Incomplete applications will not be considered or answered.
Nr of positions available : 1
Research Fields
Computer science
Career Stage
Early stage researcher or 0-4 yrs (Post graduate)
Research Profiles
First Stage Researcher (R1)
Benefits
The candidate will be mainly hosted by the Universidad Politecnica de Madrid, where will develop the main work. The candidate will spend a period of 6 months to another Project partner (part or the totality of this time in CA Technologies), in order to apply the results in an industrial environment.
Comment/web site for additional job details
bigstorage.oeg-upm.net/jobs.html
Requirements
| ENGLISH |
| Excellent |
| Computer science |
| At the time of recruitment, the applicant must not have lived in Spain for more than 12 month in the previous 36 month and he/she is in the first four years of his/her research career, starting at the date of obtaining the degree which would formally entitle to embark on a doctorate. |
| Master Degree or equivalent |
| Mandatory skills: candidates would hold a B.Sc. or Master's in computer science or related fields, good level of English (spoken and written) and ability for cooperative work in a team. Desire skills: Knowledge on Big Data frameworks, knowledge on Storage Systems and/or knowledge on Machine Learning. |