Objective
Department of Mathematics and Statistics Lancaster University, UK Visiting Doctoral Studentships in Computer Intensive Methods in Applied Statistical Modeling funded through the EC Marie Curie Training Site Human Potential Programme Applications are invited from doctoral students at Member or Associate Member states who wish to spend between 3 and 12 months studying either theory or application of computationally intensive statistical methods within a leading research group with an outstanding record for its research at the interface between statistical methodology and applications. Supervision can be provided in algorithm development and theoretical properties, complex statistical model development and the application of advanced statistical methods in addressing important scientific questions in collaboration with subject specialists. The statistics group at Lancaster has expertise in a wide variety of statistical methodologies, including extreme value techniques, graphical modeling, longitudinal data analysis, Markov chain Monte Carlo methods, survival and event history analysis, spatial statistics and time series analysis. Current application areas include environmental and ecological, financial, medical and industrial research. The group has wide experience of working with international doctoral students. There are a large number of young and active researchers and a vibrant collaborative working atmosphere.
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 data science
- humanities history and archaeology history
- natural sciences mathematics applied mathematics statistics and probability
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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.
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.
Data not available
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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
Coordinator
La1 4 YW LANCASTER
United Kingdom
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.