The Center for Mathematical Modeling (CMM) of Universidad de Chile, Santiago, Chile (www.cmm.uchile.cl) is opening new postdoctoral positions for 2017.
We expect candidates highly motivated by the fundamental and applied research topics developed at CMM, and in particular by its current projects. Candidates should exhibit evidence of outstanding research and to have received a Ph.D. degree in mathematics or related fields by the beginning of the appointment, and not before 2012. Primary consideration will be given to candidates whose research interests overlap with existing at CMM.
Positions are for one year, renewable for up to two years, subject to an annual evaluation. Appointments should start not later than September 2017 but preferably around April-May 2017. Monthly salary will be $1.800.000 (Chilean Pesos) before taxes (around 10%). Selected candidates will receive funding for the round trip to Chile and for participating in one international conference to present relevant results of her/his research project per year and funding for other national conferences.
Applicants should submit a CV, a list of all publications, statements of research, teaching interests, three recommendation letters and fill the online form not later than January 15th 2017. The application can only be made through our Application form. Decisions of postdoctoral positions will be made before end of January 2017.
Enclosed a list of possible topics to work with researchers at CMM as examples:
- Machine Learning and Signal Processing
- Information theory and big data analysis
- Sensitivity analysis of parametric generalized equations with conic constraints
- Control and optimization of constrained dynamical systems motivated by natural resource management issues
- Optimization and game theory in energy systems, mining and natural resources
- Stochastic variational inequalities: theory and algorithms
- Principal agent models and stochastic dynamics
- Variational Analysis and semialgebraic optimization (Tame optimization)
- KPZ universality class and stochastic spatial models
- Lyapunov stability for differential inclusions and non-smooth analysis
- Inverse Problems in Quantitative Genetic Models
- Distributed computing
- Probabilistic methods for kinetic equations: propagation of chaos and long term behavior
Please fill the Application form here.
Posted on Dec 20, 2016 in Job Opportunities