OFFER DEADLINE27/04/2018 00:00 - Europe/Brussels
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
ORGANISATION/COMPANYFundación para la Investigación Biomédica de Córdoba (FIBICO)
DEPARTMENTIMIBIC (Maimonides Biomedical Research Institute)
LABORATORYKnowledge Discovery and Intelligence Systems
Aim of the call
The Maimonides Biomedical Research Institute of Cordoba (IMIBIC) is seeking to develop proposals with experienced researchers for submission under the Horizon 2020 Marie Skłodowska-Curie Actions:
IMPORTANT: Applicants should check their CV against the eligibility and mobility conditions of Marie Skłodowska-Curie Actions.
Brief description of the Research Group
PI: Sebastían Ventura
The Knowledge Discovery and Intelligent Systems (KDIS, http://www.uco.es/kdis ) research group, established in 2009, focuses its research on Data Science (Data Analysis, Machine Learning, Data Mining, Big Data, etc.) and its applications to diverse problems in different areas, with special interest in biomedicine.
Flexible patterns to describe medical alerts
Knowledge discovery has become a high relevant task in many areas of the society, where huge volumes of data daily gathered by information systems make impossible the applicability of traditional analysis to extract valuable insights. The key element in the process of eliciting useful knowledge is the pattern, denoting subsequences, substructures or itemsets that represent any type of homogeneity and regularity in data. Patterns describe intrinsic and important properties of data, and they are required to be novel, significant, unexpected, nontrivial and actionable.
Nowadays, mainly caused by the Big Data revolution, actions taken from the insights are extremely relevant in any application field and the users’ requirements are increasingly complex. This issue is especially relevant in precision medicine where individual variability in disease prevention, care and treatment is required to be understood. These expectations can be hardly fulfilled with the insights discovered by conventional approaches, which are based on rigid data representations that cannot be adapted to the special needs of each very individual.
The main objective of the project is to provide mechanisms to soften the original rigid data representations to give rise to flexible patterns. These patterns describe more valuable knowledge since they are tailored for each specific situation, which is the basis for precision medicine. The final aim is to provide specific and accurate medical alerts on different branches of medical practice. In the development of this project, the candidate will design and implement methods in which data should be handled to produce more actionable and valuable insights. These methods can be grouped in three categories: mechanisms to deal with concepts on different levels of abstraction; approaches to handle ambiguity on the space of records; and mechanisms to extract knowledge on multiple data sources.
- PhD in Computer Science or Bioinformatics
- Other related fields (Mathematics, Biology, etc.) with accredited experience and interest in the topics of the project may also be accepted, please contact the PI.
Required Research Experience:
- Any preliminary experience in the application of data analysis (statistics, machine learning, data mining) to bioinformatics and/or biomedicine will be welcome.
- Excellent level of spoken and written English.
The candidate must fulfil the eligibility and mobility conditions of Marie Skłodowska-Curie Actions.
The process consists of an analysis, evaluation and ranking of all CVs received. Following the evaluation, the highest ranked applicants may be called for a personal interview in order to evaluate more precisely the skills of the candidate.
How to Apply:
Applicants should send their CV to the following address: email@example.com stating clearly in the subject of the email the reference “PostdocMSCA2018GC25”. Extended Deadline for sending your CV: 27th April, 2018.
Warning: Application emails that do not include reference will not be considered.
About the Host Institution:
The biomedical research institute, IMIBIC, located in Cordoba, southern Spain, is a partnership between the University of Cordoba (UCO) and the Reina Sofia University Hospital. IMIBIC offers a multidisciplinary environment focused on results-oriented research and based on precision medicine and excellence in science. IMIBIC is accredited with the Excellence distinction from the Spanish National Institute of Health Carlos III, and has received the HR Excellence in Research award of the European Commission (HRS4R).
The Institute is structured in research groups that cooperate in the implementation of various scientific programmes with the major goal to promote biomedical innovation as a powerful engine for economic and social development. IMIBIC offers an active environment in which to conduct high-level scientific research. Regular seminars and research events offer the opportunity to meet with national and international experts covering a diverse range of topics in biomedicine. IMIBIC provides an ideal environment to strengthen the skills and knowledge of young scientists and fosters translational research by bringing together experimental basic and medical sciences.
IMIBIC is young and fast-growing research center. It operates in a brand new building located within the UCO Health Sciences Campus and next to the University Hospital. It hosts a wide variety of core facilities for over 600 researchers, including the Biomedical Research Support Units with the latest technology equipment and laboratories to support the technical needs of the research community, as well as a Clinical Research Unit to support clinical trial research.
Cordoba is a medium sized city located in the hearth of Andalusia, with excellent transport connections to the main cities of Spain and both to the Mediterranean and Atlantic coasts. Rich in history and culture, Cordoba is a friendly and welcoming city with high standard of living, making it an ideal location for investigators wishing to carry out their research in Spain.