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Structure in patterns in ordered datasets with applications in astrophysics, neuroscience and archaeology (ESR 7)

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  • Full or part time
    Prof A Efstathiou
    Prof Vicky Papadopoulou Lesta
  • Application Deadline
    No more applications being accepted
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

The project will delve into classic and powerful techniques related to complex systems, such as graph theory, probability theory and statistics, as well as modern and promising ones such as Network Science, machine learning and data mining techniques and tools. The techniques will be explored together with application based specialised knowledge in order to provide a rigorous theoretical and algorithmic framework for the identification of semantics networks applicable to the data from different disciplines, such as Astrophysics, Neuroscience and Archaeology. For the astrophysics application, the project will address problems related to galaxy evolution and cosmology. For the astrophysics application, we wish to classify stages of processing and identifying transitions of regional activations of the brain system, using EEG and MEG data and the slow hemodynamic measures (PET and fMRI). The archaeology work involves investigation of possible relation of the evolution of ancient pottery images to how the visual system analyses information.

Objectives


- To apply Bayesian inferencing and graph-theory based methodologies to facilitate the development of a powerful theoretical framework for the identification of semantics networks applicable to the data from different disciplines;
- Development of efficient algorithms for automatically extracting the semantics networks from the data and the domain knowledge and their implementation in a unified software tool;
- Application and adaptation of the software tool for the analysis of data in astrophysics, neuroscience and archaeology.

Expected Results


- Understanding the minimal common mathematical structures that can be used to derive identification of semantics networks that transform the data in each discipline into meaningful descriptions;
- Translating the knowledge in (1) into software tools;
- Apply these tools to the targeted disciplines.

Benefits


Marie Sklodowska-Curie PhDs are paid a competitive gross salary of 3,270 € per month, adjusted for their host country, a Mobility Allowance of 600 € per month and, for researchers who have a family, a Family Allowance of 500 € per month. All amounts are subject to employers and employees deductions and taxes.

Family is defined as persons linked to the researcher by (i) marriage, or (ii) a relationship with equivalent status to a marriage recognised by the national legislation of the country of the beneficiary or of nationality of the researcher, or (iii) dependent children who are actually being maintained by the researcher; family status is determined at recruitment and does not evolve.

ESRs will also get access to funds covering Research, Networking and Training costs. ESRs will also be enrolled for PhD studies at institutions which are part of the consortium. Funding will cover the entire 36-month period. In addition to individual scientific projects, all fellows will benefit from further continuing education, which includes internships and secondments, a variety of training modules as well as transferable skills courses and active participation in workshops and conferences.

Eligibility criteria


To satisfy the eligibility requirements set for an Early Stage Researcher funded by Marie Skłodowska-Curie and you must be eligible to be appointed as an Early Stage Researcher:

Should have — at the date of recruitment — less than 4 years of a research career, and not have a doctoral degree. The 4 years are measured from the date when they obtained the degree which would formally entitle them to embark on a PhD, either in the country where the degree was obtained or in the country where the PhD is provided.

Trans-national mobility: The applicant — at the date of recruitment— should not have resided in the country where the research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work ,studies, etc.) in that country. For refugees under the Geneva Convention (1951 Refugee Convention and the 1967 Protocol), the refugee procedure (i.e. before refugee status is conferred) will not be counted as ‘period of residence/activity in the country of the beneficiary’.

Satisfy the eligibility requirements to enrol on a PhD degree. This includes acceptable English language requirements if English is not your first language.

Selection process


All applications are to be submitted via the hosting institution.

Applications must include the following:

A copy of your CV
Degree transcripts
A motivation letter
Names of 2 referees

Please indicate in your motivation letter if you are interested in being considered for any of the other PhD positions in our network (and if you give us permission to share your application with the host of that project).


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