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[Romania] Doctoral Training in Electrical Engineering and Computational Science, Univesity Politehnica of Bucharest



Job: Doctoral training in Electrical Engineering and Computational Science
Research Field: Electrical engineering

Job Summary:
Marie Curie Fellowship for M.Sc. graduates intrested in a Doctoral program in the area of Electrical Engineering and Computational Science, in particular in a research project in nano-Electronic Design Automation (related to ENIAC).

“Politehnica” University of Bucharest (PUB), the largest entity of engineering education in Romania offers opportunities of research-training at highest level for 8 PhD students (three years stay for each) and 12 short stays (four months each). The positions reserved for non-Romanian researchers are granted by European Commission, within following FP6 complementary projects:

  1. Marie Curie Host Fellowship project, entitled “Early Stage research Training in an EaSTern European Site with Tradition in Computational Science and Engineering - EST3″.
  2. Marie Curie Research Training Network in Coupled Multiscale Simulation and Optimisation in Nanoelectronics - RTN-Comson.
  3. Specific Targeted Research Project entitled Comprehensive High-Accuracy Modelling of Electromagnetic Effects in Complete Nanoscale RF blocks - STREP- Chameleon RF.
  4. Additional, four Doctoral-student positions for Romanian graduates are granted by a “complex research-training project”, financed by the Romanian Government, entitled: Development of methodologies and tools for nano-Electronic Design Automation - CEEX-nEDA.


These projects are structured in two main components: the advanced training at Doctoral level in the area of Computational Science and Engineering (CSE), in particular in Scientific Computation in Electrical Engineering (SCEE) and the research component, which has as objective the development of an original nano-electronic design automation methodology and associated toolbox. More details may be found at:
http://www.lmn.pub.ro/~daniel/vacancy

Job Description:
Doctoral training in Electrical Engineering and Computational Science, research in nano-Electronic Design Automation. The main objective of the training part of Doctoral programme is to train graduate engineers with a strong mathematical background to develop and have them apply their skills to solve real life advanced open problems in their domain of engineering, using the most efficient computational tools and appropriate mathematical models.

By the end of the training, students should be able to:

  1. elaborate multi-physic and multi-scale original models at the appropriate level of abstraction starting from a sketchy description, in the language of their domains: electrical or mechanical engineering, physical, chemical or bioengineering;
  2. reformulate it as a solvable, well posed mathematical problem;
  3. carry out any useful mathematical analysis and optimisations;
  4. select or develop appropriate innovative numerical algorithms to discretize and solve the problem;
  5. understanding how to write a professional computer program which solves the problem, and
  6. interpret and present the results to the scientific community or to an industrial client.

The fellows are trained to successfully communicate with teams of engineers, physicists, computer scientists and/or mathematicians, to solve large-scale, complex and difficult practical problems.

The research project is related to the challenges of the European Technological Platform in Nanoelectronics - ENIAC and it aims to the development of adequate mathematical models and numerical schemes, and their implementation in a software demonstrator platform dedicated to the complex problems of nano-Electronic Design Automation (nEDA). The platform will allow the coupled simulation of semiconductor (DD- drift-diffusion) devices, interconnects, circuits, electromagnetic (EM) fields and thermal (TH) effects in one single conceptual and software framework. It should be noted that thermal and cooling analysis requires CFD (Computational Fluid Dynamic) analysis as well. The nEDA platform will also allow the comparison between results of simulation and measurement, in order to validate the new developed methodology, using suitable benchmarks.

Benefits

  1. Excellent career development opportunities
  2. Very attractive financial support and best work conditions
  3. Flexible training path, tuned to the individual needs
  4. High level training and advanced research
  5. Industrial and Academic networking with top European institutions and as well as from USA and Japan, by industrial internships and joint scientific events/projects (paid attendance of the fellow at annual international event)
  6. Up to 36-months fixed term employment contract with full health and social
    security coverage.

Comment
The grant is between 2500Euro and 2725Euro per month. The actual amount depends on the fellow marital status and the distance of the residence. For instance, the Marie Curie EST individual grant comprises:

  1. 1403 Euro/month - Basic Monthly Living Allowance,
  2. 800 Euro/month (for married) or 500 Euro/month (unmarried fellows) -
    Mobility Allowance,
  3. between 250Euro/year (10000km), in particular 1000 Euro/year (for distances
    between 1500 and 2500km) - Travel Allowance,
  4. 2000 Euro/stage - Career exploratory Allowance,
  5. 500 Euro/month - administrated by the host institution in the benefit of fellow training and research activities.


 
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