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UNAV MSCA IF FELLOWSHIPS 2017: “EXPRESSION OF INTEREST”   FOR HOSTING MARIE S. CURIE FELLOWS IN THE UNIVERSITY OF   NAVARRA (CALL MSCA IF 2017) ([email protected])  

1. Interested institution: University of Navarra – Institute for Culture and Society    2. Brief Description of the Group   Prof.  López‐Fidalgo  has  been  recently  hired  by  the  Institute  for  Culture  and  Society  of  the  University  of  Navarre.  He  has  been  leading  a  research  group  in  Spain  on  Optimal  Experimental  Design  (OED)  with  more  than  20  researchers  from  several  universities  in  Spain  (Salamanca,  Castilla‐La  Mancha,  La  Laguna,  Pública  de  Navarra  and  Almería)  as  well  as  some  significant  collaborators from abroad (UCLA, Indian Statistical Institute, University of Milan, Linz, Glasgow or  Manchester).  This  group  is  one  of  the  eight  nodes  of  the  Spanish  Network  of  Biostatistics  (BioStatNet). It was also acknowledge as a research group by the Spanish Statistical Society (SEIO)  and it has been supported by different grants from the Spanish Research Agency since 2004, apart  from some regional and local grants or other from companies. They had a couple of joint grants  with  Britain  (Universities  of  Manchester  and  Glasgow)  and  Austria  (Economics  University  of  Vienna).  In  2010  the  ESF  awarded  a  Research  Networking  Programme  between  15  European  countries with this group in Spain, but some governments did not support the grant and it was not  carried out at the end. The group has a position in the Optimal Experimental Design international  community. In particular, the group organized the prestigious conference mODa 8 in Spain, where  the most prominent researchers in the topic were invited to participate.  Prof.  López‐Fidalgo  has  also  started  a  new  group  with  14  people  in  the  University  of  Navarre,  including researchers form the Public University of Navarre and the company Everis. The main goal  is to stablish a group of people working on optimal experimental design collaborating at the same  time in other areas of the Institute as well as in other centers of the University. This fellowship will  strongly contribute to stablish and consolidate the team.    3. Please tick the areas of research (as established in Marie Sklodowska Curie Actions) ☐ Chemistry (CHE)  ☐ Environmental Sciences and Geology (ENV)  ☒ Social Sciences and Humanities (SOC)  ☒ Life Sciences (LIF)  ☐ Economic Sciences (ECO)  ☒ Mathematics (MAT)  ☐ Information Science and Engineering (ENG)  ☐ Physics (PHY)    4. Research / Project Description The  design  and  analysis  of  experiments  has  been  used  to  improve  estimates  and  predictions  in  empirical  processes.  It  is  remarkable  the  utility  of  measuring  the  efficiency  of  the  implemented  designs  in  the  practice  as  well  as  providing  more  competitive  designs  for  the  optimal  use  of  the  avaliable  resources.  In  this  context,  the  Optimal  Experimental  Design  (OED)  is  a  discipline  that      

 

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UNAV MSCA IF FELLOWSHIPS 2017: “EXPRESSION OF INTEREST”   FOR HOSTING MARIE S. CURIE FELLOWS IN THE UNIVERSITY OF   NAVARRA (CALL MSCA IF 2017) ([email protected]) addresses this problem from different points of view. One of the main beneficiaries of the theory  of optimal design are the areas of health and well‐being in society. There will be also contributions  to  other  areas.  In  the  last  few  years,  the  members  of  the  group  have  applied  the  ideas  of  their  methodological developments in OED to different multidisciplinary areas. In many cases, the team  has  worked  with  real  problems,  for  example  modeling  the  risk  in  lung  surgery,  the  retention  of  radiation  in  the  human  body,  problems  involving  safety  in  possible  mine  jams,  the  calibration  of  the dose of radiation to be applied to a patient or the optimal fermentation of wine, among other  examples. In all of these cases, there has been personal contact with the researcher or the people  working with these problems. The experience shows this actual contact with real problems leads  to the most interesting statistical methodological problems. Proof of this is the publication of these  results in prestigious journals in Statistics such as JASA, JRSSB or Technometrics.  This project seaks to develop methodologies in the area of the optimal designs of experiments in  order to provide solutions to real problems. The proximity to the real cases leads to more complex  processes. Specifically, the general objectives in this project are the following:  I. Identification of new models and computation of optimal designs for pharmakeutical application  and mixture of distributions in ligand binding modeling with more than one proteine.  II. Selection of models. New methodologies for a priori selection of models will be considered. In  particular,  the  problems  of  goodness‐of‐fit  tests,  discrimanation  between  models,  estimation  of  the  uncertainty  in  the  parameters  in  compartimental  models  and  modelling  through  structural  equations will be layed out.   III. Identification and quantification of the levels of the exposure to radiation, adversed effects and  detection of inmunological deficiencies in toxicology, dose‐response and calibration.  IV. The so called nature‐inspired methods will be explored to compute optimal designs in difficult  situations such as many variables or the presence of non‐controllable variables.   V. Optimal designs for models with censoring; in particular, in suvival analysis, will be explored.  VI. Implementation of free and friendly software for the mentioned objectives.    5. Who can apply?      General requirements:  At the deadline for the submission of proposals (14/09/2017), researchers:   shall  be  in  possession  of  a  doctoral  degree  or  have  at  least  four  years  of  full‐time  equivalent research experience.   must not have resided or carried out their main activities in the country of Spain for more  than 12 months in the 3 years immediately prior to the abovementioned deadline.    Specific requirements:    A PhD in Statistics, Mathematics or other area with strong load of Statistics methodology.  Interest in Experimental Design research, both in a methodological and an applied perspective.  Reasonable English speaking and writing skills.   

    

 

OED ICS 2017.pdf

V. Optimal designs for models with censoring; in particular, in suvival analysis, will be explored. VI. Implementation of free and friendly software for the ...

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