Objective
DATAMINE4.0 is an IF for Career Development for Natasa Sarafijanovic-Djukic, PhD in Computer/Communication Sciences obtained from EPFL, Switzerland, a researcher in statistical modelling originally from Serbia, whereby she will work in IRIS, a Spanish R&D and advanced engineering SME. The project will study the modeling and analysis of data coming from complex industrial and organizational applications, in order to identify hidden causistic relationships in order to calibrate production and organizational control systems. It is highly multidisciplinary combining data science, statistics, artificial intelligence, telecommunications, specific engineering and organizational domains and information technology processing competences. In line with new paradigms such as Industry 4.0 and the Internet of Things. Although machine learning paradigms have been in existence for several decades, their penetration in the industrial and public organization setting has been limited. The goal is to build calibration and optimization models using advanced statistical and machine learning methods and other artificial intelligence inspired algorithms, for applications in which existing methods have been unsatisfactory. This will have a big impact on productivity and repeatability of winning formulas for key industrial applications such as customized production, public sector applications (e.g. optimization of urban mobility), and food processing. This is in line with findings published by the European Union. The developed data mining solutions will greatly enhance the current performance of the selected applications, allowing them a competitive advantage over current methods. The work will be done in an applied R&D environment in line with the objective for Dr. Natasa Sarafijanovic-Djukic’s career continuation. An engineering approach will be ideally completed with 7 formal scientific trainings, including two academic secondments, each of 2 months.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences data science data mining
- natural sciences computer and information sciences artificial intelligence computer vision object detection
- natural sciences computer and information sciences artificial intelligence machine learning
- natural sciences computer and information sciences artificial intelligence computational intelligence
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2016
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08940 CORNELLA DE LLOBREGAT
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.