Research Technician on metaheuristic optimization of solid state materials
BCAM - Basque Center for Applied Mathematics
Bilbao, Spania
hace 3 días
source : Academic Media Group International AB


The preferred candidate will have :

  • Solid programming skills in Julia. Candidates without specific knowledge of Julia but excellent skills in structurally similar languages such as Python, MATLAB, C++ or Ruby may be considered.
  • Background in optimization methods. Specific knowledge in metaheuristic techniques such as simulated annealing of harmonic search is highly desirable.
  • Experience with molecular dynamics codes (GROMACS, LAMMPS, etc.) is desirable
  • Application and Selection Process

    The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile.

    Additional documents could be requested during the evaluation process so as to check this fulfilment.

    Application : Required documents :

    Required documents :

  • Letter of interest, succinctly describing past research experience
  • 2 recommendation letters (desirable)
  • Evaluation : Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively : the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.

    and other merits; taking in account the alignment of these items to the topic offered.

    Incorporation : As soon as possible.

    Research topic description : We have recently developed a novel metaheuristic methodology for optimizing the distribution of atoms and vacancies in solid-state materials.

    Our approach is currently programmed in the package Julia and has been tested in the solid-state electrolyte LLZO.

    The researcher will rewrite / reformat the code, as well as write a manual to share it with the wider community. He / she will also investigate the optimal set of parameters to maximize the algorithm’s performance, and work on the implementation of additional features.

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