Call for 8 PhD positions in mathematics at the Gran Sasso Science Institute, L'Aquila (Italy) with deadline June 18, 2019. The appointment is for four years, starting from November 2019, and it comes with no teaching duties. Further information can be found at
For more information, please consult the Call for Applications at www.gssi.it/phd/ or write an email to firstname.lastname@example.org or call +39 0862 4280262.
The official language for all PhD courses is English.
The appointments are for 4 years, with no teaching duties and their yearly salary amount is € 16.159,91 gross. All PhD students have in addition free accommodation at the GSSI facilities and use of the canteen.
The application must be submitted through the online form available at www.gssi.it/phd/ by 18 June 2019 at 6 pm (Italian time zone, 6pm).
Six scholarships are provided within the PhD course in Mathematics in Natural, Social and Life Sciences. We welcome applications of PhD students interested in starting a research career in mathematical modeling, towards both the traditional areas of application as Physics or Engineering and emerging issues in Biology and in Social Sciences. Areas of interest also include numerical methods, high performance computing techniques, stochastic analysis, control theory and partial differential equation methods, in particular those related to fluid dynamics and quantum physics. Numerical and stochastic methods for mathematical models in seismology will be of special interest.
Two scholarships will be appointed within the research program "GrowBot - Towards a new generation of plant-inspired growing artefacts". The positions are supported under the Grant Agreement n. 824074 (Call: FETPROACT-2018-2020) of the Horizon 2020 Framework Program. The PhD projects, directed by Prof. Pierangelo Marcati, will address the following issues: mathematical models for the growth and movement of climbing plants, and their relationship with experimental data existing in the literature; control problems originating from bio-inspired robotics. The main mathematical techniques are related to ordinary differential and partial differential equations, dynamical systems, control theory, numerical analysis, stochastic techniques and statistical mechanics.
Here the complete call, available in English: