The Complex
Systems Lagrange Laboratory, Complex Networks Research Unit, at the ISI
Foundation (Turin, Italy) invites applications for a 3 years PhD fellowship and for a 1+1 years Post Doctoral
fellowship.
The successful candidates will be part of the research program in computational epidemiology EpiFor – Complexity and predictability of epidemics: toward a computational infrastructure for epidemic forecasts. The project aims at developing a vigorous research effort integrating mathematical and statistical epidemiology with computational sciences and informatics tools to conduct scenario analysis in public health domain. The candidates will substantially contribute to:
i) the formulation of models for the basic theoretical understanding of epidemic multi-scale and agent based approaches and their predictive power;
ii) the development of multi-scale computational approaches and data integration tools that will provide a realistic modeling framework for the analysis of observed epidemic outbreaks and the forecast of patterns of emerging diseases.
The positions are available starting Summer 2008 and will start at a mutually agreed upon date. Applications are accepted till the positions are filled. Electronic applications are preferred and are to be sent to Dr. Vittoria Colizza, vcolizza@isi.it. Please find below the details for each position.
PhD position
Applicants should possess a B.S. or M.S. or equivalent degree (e.g. Italian laurea) in physics, applied mathematics, mathematical biology/epidemiology, or related areas, and have experience in computing programming (e.g. C/C++, etc.) and computing environments. High motivation, ability to quickly adapt to new scientific environment and good personal and communication skills (written and oral English) are assumed for this position. The fellowship is open to students already enrolled in PhD programs or available to enroll in a PhD program related to the Host Institution.
The application must include:
§ cover letter highlighting the candidate's suitability for this position;
§ curriculum vitae;
§ 1 letter of reference.
PostDoc position
Applicants should possess a PhD in physics, applied mathematics, mathematical biology/epidemiology, or related areas, and have experience in computing programming (e.g. C/C++, etc.) and computing environments. Proven ability to work independently and experience in statistical and numerical simulation methods and complex systems are considered to be important assets for this position. Experience with Geographic Information Systems is considered as added value. High motivation, ability to quickly adapt to new scientific environment and good personal and communication skills (written and oral English) are assumed for this position.
The position is for one year and can be extended for a second year, if skills, interest and performance allow.
The application must include:
§ cover letter highlighting the candidate's suitability for this position;
§ curriculum vitae;
§ up to 3 selected preprints/publications most relevant for this position;
§ 2 letters of reference.
Systems Lagrange Laboratory, Complex Networks Research Unit, at the ISI
Foundation (Turin, Italy) invites applications for a 3 years PhD fellowship and for a 1+1 years Post Doctoral
fellowship.
The successful candidates will be part of the research program in computational epidemiology EpiFor – Complexity and predictability of epidemics: toward a computational infrastructure for epidemic forecasts. The project aims at developing a vigorous research effort integrating mathematical and statistical epidemiology with computational sciences and informatics tools to conduct scenario analysis in public health domain. The candidates will substantially contribute to:
i) the formulation of models for the basic theoretical understanding of epidemic multi-scale and agent based approaches and their predictive power;
ii) the development of multi-scale computational approaches and data integration tools that will provide a realistic modeling framework for the analysis of observed epidemic outbreaks and the forecast of patterns of emerging diseases.
The positions are available starting Summer 2008 and will start at a mutually agreed upon date. Applications are accepted till the positions are filled. Electronic applications are preferred and are to be sent to Dr. Vittoria Colizza, vcolizza@isi.it. Please find below the details for each position.
PhD position
Applicants should possess a B.S. or M.S. or equivalent degree (e.g. Italian laurea) in physics, applied mathematics, mathematical biology/epidemiology, or related areas, and have experience in computing programming (e.g. C/C++, etc.) and computing environments. High motivation, ability to quickly adapt to new scientific environment and good personal and communication skills (written and oral English) are assumed for this position. The fellowship is open to students already enrolled in PhD programs or available to enroll in a PhD program related to the Host Institution.
The application must include:
§ cover letter highlighting the candidate's suitability for this position;
§ curriculum vitae;
§ 1 letter of reference.
PostDoc position
Applicants should possess a PhD in physics, applied mathematics, mathematical biology/epidemiology, or related areas, and have experience in computing programming (e.g. C/C++, etc.) and computing environments. Proven ability to work independently and experience in statistical and numerical simulation methods and complex systems are considered to be important assets for this position. Experience with Geographic Information Systems is considered as added value. High motivation, ability to quickly adapt to new scientific environment and good personal and communication skills (written and oral English) are assumed for this position.
The position is for one year and can be extended for a second year, if skills, interest and performance allow.
The application must include:
§ cover letter highlighting the candidate's suitability for this position;
§ curriculum vitae;
§ up to 3 selected preprints/publications most relevant for this position;
§ 2 letters of reference.
