The doctoral program in Statistics (Statistics and Probability) of the Institute of Mathematics and Statistics, University of São Paulo, Brazil, has 3 fellowships for a full time PhD student without master's degree. These are full fellowships for a period of 48 months, starting from February 2017. These positions are focused on research in probability theory and inference in stochastic processes with emphasis on stochastic modeling of neuron biological data. The student will be part of the research group: The Research, Innovation and Dissemination Center for Neuromathematics, funded by FAPESP (São Paulo Research Foundation). See: neuromat.numec.prp.usp.br/content/who-we-are.
The doctoral program in Statistics (Statistics and Probability) of Universidade de São Paulo-Brazil is well known for its innovative research in statistics and probability, besides its large experience with PhD advising. More than 300 PhD former students have successfully finished their projects in our doctoral program and are now leading research and applications in Statistics and Probability in several universities of Latin American countries. We invite you to visit our page: www.ime.usp.br/en/statistics/graduate
Those interested should contact Ms. Regiane Guimarães at firstname.lastname@example.org
They should fill the Application Form, indicating interest in the fellowship FAPESP/Neuromat (www.ime.usp.br/mae/pos/edital).
We will need also:
- Academic transcripts of your previous studies;
- Updated Curriculum Vitae;
- An essay (maximum of five pages) reporting your academic experience, research experience, publications, unpublished results and a small scientific project;
- At least 2 recommendation letters. Those should be mailed by the recommenders directly to email@example.com
Remark: Candidates approved on either round will be requested to expand their five-page research plan to full four-year proposals. For the implementation of the fellowships, those proposals, together with all the application material received, will be submitted to FAPESP for final approval.
Deadline: November 4, 2016