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Postdoctoral Researcher ERC Advanced Grant NONFLU

A postdoctoral position is offered to a researcher in mathematics with an excellent curriculum vitae having completed a PhD or obtaining his/her doctoral degree before the end of 2019. The candidate is expected to work on subjects related to the ERC Advanced Grant project “Non-local dynamics in incompressible fluids” (https://www.icmat.es/research/international-grants/cordoba-gazolaz-AdG), held by Professor Diego Cordoba Gazolaz.

 Details

 The postdoctoral researcher will work in analysis of non-linear and non-local partial differential equations that arise in incompressible fluid dynamics, and is expected to participate in the group activities (seminars, courses, conferences, etc.). There are no teaching duties.

 The successful candidate should be strongly motivated and with a good academic and publication track record.

She or he will be offered a fixed term contract of 2 years duration, with a possible extension up to another year. The candidate is expected to start any time in 2019. The place of work will be the Instituto de Ciencias Matemáticas (Institute of Mathematical Sciences) ICMAT in Madrid (Spain).

The gross annual salary range is between 36.000€ and 45.000€ depending on the experience and skills of the candidate. Expenses resulting from the research activity, such as conferences and workshops attendance and short-stays in other Institutions for scientific collaboration and training, will be covered by the project.

 

The candidates should send their application by e-mail to the address ercnonflu@icmat.es with the following subject: ERC NONFLU postdoc application (family name of the applicant). The following documentation should be attached:

  • A curriculum vitae.

  • A two-page description of your research discussing your research results.

  • A cover letter discussing your motivation to apply for this postdoc position.

  • Two letters of recommendation.

The deadline for application is January 31, 2019.

 

* This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme grant agreement No 788250