15/02/2021
The Human Resources Strategy for Researchers
Marie Skłodowska-Curie Actions

5 Marie Curie European Industrial Doctorate PhD fellowships for Early Stage Researchers EID Project COMPETE

This job offer has expired


  • ORGANISATION/COMPANY
    Politecnico di Torino
  • RESEARCH FIELD
    EngineeringComputer engineering
    EngineeringElectrical engineering
    EngineeringSimulation engineering
    MathematicsApplied mathematics
    PhysicsComputational physics
    PhysicsMathematical physics
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    18/09/2021 17:00 - Europe/Brussels
  • LOCATION
    Italy › Torino
    France › Elancourt
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    35/40
  • OFFER STARTING DATE
    01/11/2021
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • MARIE CURIE GRANT AGREEMENT NUMBER
    955476

OFFER DESCRIPTION

Applications are welcome for an opening of 5 Early Stage Researchers (ESRs) to carry out PhD theses as part of the Marie Slodowska-Curie European Industrial Doctorate (EID) “COMPETE” (COMPutationally empowered Electromagnetic industrial TalEnts), leveraging on a partnership between the Politecnico di Torino (Italy) and Thales DMS France (Defence Mission Systems).

We offer 5 full-time Marie Curie scholarships for a period of 36 months with high perspectives in both academic and industrial areas.

The Marie Curie project COMPETE:

This project is meant to be a highly innovative and multi-sectorial research and training program, which will nurture a new generation of electromagnetic modelers, designers and innovators in the field of the advanced electromagnetics industry. COMPETE will prepare them to the present-challenges of the field by providing a solid theoretical knowledge in Computational Electromagnetics (CEM), together with a competitive and on-the-field training in computationally empowered industrial processes.

In particular, the R&T programme will focus on innovative strategies in industrial modelling to produce:

  • new paradigms in moderate, low, and extremely low-frequency modelling for electromagnetic compatibility (EMC) and electromagnetic interference (EMI) industrial applications
  • complementary techniques to handle moderate, high, and extremely high-frequency modelling for large scale scattering and industrial design
  • new approaches to time and frequency domain modelling of impedance surface for radiation and scattering of impedance boundary condition (IBC) industrial devices

These efforts will address the three main needs and challenges in industrial modelling in advanced electromagnetics: multi-frequency problems, multiscale simulations and complex boundary scenarios.

 

 

List of available PhD / ESR positions

ESR 1

New paradigms in moderate, low, and extremely low-frequency modelling for impacting industrial applications.

Objectives: Several application scenarios of high industrial impact, including the modelling and design of high-speed circuitry and moderate to low frequency devices is fundamentally important challenge in advanced electromagnetics industry. In fact, if the frequency of operation in these scenarios is too high to leverage on quasi-static solvers, it is still low enough for breaking the majority of available simulation packages. The problem becomes even more challenging in the presence of spatially multiscale geometries where regions of very fine details cohabit with large surfaces and reflectors. In this scenario eddy current formulations are very popular although often limited in applicability both as pertains physics and frequency band. This individual project will tackle this problem by proposing a new family of low-frequency solvers which will be able to continuously enable predictions from extremely low frequency scenarios till the middle frequency range.

Expected Results: 1) An innovative framework for the assessment of electromagnetic compatibility and interference phenomena within both spatial and frequency multi-scale environments which will be faster, more reliable and robust than the currently available ones. 2) The new modelling environments will provide a novel way of handling multiscale elements and several cycles in geometries, resulting in a substantially larger impact of modelling and simulation strategies in industrially relevant scenarios. 3) The new technology will be interfaced with the other modelling related technologies developed in the ITN-EID network.

ESR 2

New paradigms in moderate, high, and extremely high-frequency modelling for large scale scattering and industrial design

Objectives: This individual project will address the modelling in the moderate to high frequency regime for extremely multiscale scenarios including platforms and circuitry installed in several wavelengths’ long structures. The project will investigate both forward and inverse approaches impacting a variety of applications of high industrial interest. This is an ambitious project that will combine the standard benefits of other integral formulations to the possibility of being fully compatible with multiscale regularizers such as hierarchical or high frequency multiplicative regularization schemes.

Expected Results: 1) An innovative high frequency modelling intrinsically suited for multiscale industrial needs and study settings 2) An accelerated platform which will speed up both the technology in 1) and the schemes obtained within the ITN-EID network. 3) Benchmarking and application on cutting edge industrial scenarios of high impact.

ESR 3

New paradigms in modelling of impedance and meta-surfaces for radiation and scattering for next generation industrial application

Objectives: Impedance surface condition are an extremely effective tool to model and predict the behavior of devices involving electromagnetic metamaterial, impedance and shielding surfaces as well as cloaking structures. Impedance boundary conditions are often at the center of industrial simulators used in the design and prototyping of multiscale antenna systems mounted on ships or aircrafts as well as their surrounding and reflecting elements. Standard methods present several drawbacks in modelling stability, frequency conditioning, and precision, together with the often ill-posed behavior resulting in long and unstable simulations that are seldom acceptable in a high-level industrial setting. In this project we will investigate a new strategy to model impedance surfaces and associated devices. This project will attain very ambitious targets including new frameworks and extended IBC conditions and advanced metasurfaces synthesis strategies. The work will start with an investigation of new end extended IBCs for the new generation of advanced materials and surfaces of industrial interest. Then it will investigate advanced regularizations and computational speed ups, this will ensure substantial impact of any associated industrial design process. A final phase will include a collaborative hybridization with the other research axes of the ITN-EID network.

Expected Results: 1) A new approach to the modelling of IBC surfaces which will be faster and more reliable than currently available approaches 2) An hybrid design platform including optimization within and outside the impedance conditions with unequalled rates of convergence and robustness from the point of view of industrial processes. 3) At least Two papers submitted to the leading journals in the field of antenna, scattering and computational physics.

ESR 4

Advancement of state of the art of optimization, sensibility, and uncertainty quantification empowered by innovative computational techniques of industrial relevance

Objectives: EM sources, large scattering surfaces, small circuitry elements as well as well shapes affect variably the overall final result of an industrial design process and, at the same time are affected by uncertainties and variabilities, It is therefore fundamental to assess on one the one hand the impact of variable material, products, and sub-devices variability on the final figures of merits, this to properly tune the investments in the limitation of such variability. On the other hand the overall results need to be computed within safety thresholds which must be estimated with the highest precision possible by the current modelling and design technology. Although the state of the art in this field has achieved several remarkable results in these areas, the level of complexity of the assessments is limited firstly by forward complexity and secondly by the large dimensionality of the relevant degrees of freedom. This individual project will tackle this challenge by investigating an accelerated procedure to obtain forward points of assessment to be used to compute unequally complex sensitivity figure of merit functions. The same framework will be then extended to obtain multi-parameter transfer functions that will lead to uncertainty quantification paradigms which will run several orders of magnitude faster than those available today. The objectives of this individual project will include 1) Investigate multivariate methods applicable to the computational methods investigated in the network. Develop new approaches for baseline optimization and compression based on multidimensional data structures. 2) Investigate advanced models and variabilities from the relevant degrees of freedom for relevant application scenarios within uncertainty quantification frameworks. 3) Hybridizations other technologies within the ITN-EID network.

Expected Results: 1) An innovative framework for the propagation error in the forward (uncertainties) and backward (sensitivity) directions in several scenarios of industrial interest. 2) An innovative framework to perform the sensitivity analysis for dependent structure 3) Implement these approaches hybridized with the other contributions of the network.

ESR 5

New paradigms in computationally empowered machine learning for industrial EM design and assessments

Objectives: The design of electromagnetic structures – sensors, filters, frequency-selective surfaces, metamaterials – is a critical industrial issue, especially when they have to meet specifications that are apparently contradictory. The behaviour of such structures is usually difficult to comprehend: the complex design (e.g. closed-vicinity dielectric surfaces, both standard and impedance ones, of various shapes, electrical impacts, cavities) lead to possibly resonant responses. On the one hand, reverse modelling techniques are consequently intensively exploited to efficiently design such structures.

On the other side, the validation of simulation models needs to be performed, considering reverse image extraction procedures on several types of canonical and real case scenarios. Standard design strategies have been leveraging optimizers and pre-run time design schemes. The results of these approaches can be satisfactory in several situations, but it often fails in the most complicate scenarios. The approach explored by this individual project will be different and based on a dynamic design and optimization framework leveraging statistical and deep learning paradigms. This will be obtained by proper modification of the EM formulations at the analytic level, followed by a suited algorithmic matching and discretization. This paradigm will be oriented and benchmarked on the design of several relevant application scenarios of key industrial interest.

Expected Results: 1) Innovative imaging systems for EM imaging and other bio-applications 2) Innovative solutions for calibration and associated compensation techniques on multi-sensors imaging systems 3) Experiments and data collection for the Computational Science & Engineering Community.

More Information

Benefits

The PhD scholarship salary will be very competitive because all contracts will be compliant with salary and benefits rules of Marie Skłodowska-Curie Actions. Please refer to the following document (section 5) for further details

Eligibility criteria

All candidates will have to comply with the eligibility requirements of Marie Sklodowska­ Curie Actions

Please refer to the following document on page 20 (section 3.4).

https://ec.europa.eu/research/participants/data/ref/h2020/other/guides_f...

 

Selection process

All candidatures will be assessed by a specific hiring committee.

The selection will be based on excellence and profile fit.

The selection procedure will follow subsequent evaluation steps. A first short list will be formed based on the evaluation of the application packages by the commitee. This short list will be then invited to hiring interviews (to be held remotely).

All candidatures must be sent by email to the project Coordinator, Prof. Francesco P. Andriulli (francesco.andriulli@polito.it)

To apply please submit

  1. A complete CV with a list of up to 5 reference contacts.
  2. A motivation letter specifying the PhD topic (or topics) which the candidate would be most interested in.
  3. Transcripts with grades for all Bachelor and Master exams, including final graduation grades if available.
  4. A copy of the bachelor degree certificate
  5. A copy of the master degree certificate if aleady available

All candidates need to prove that they are eligible according to with the eligibility requirements of Marie Sklodowska­ Curie Actions

From the CV and the motivation letter it should be clear why the candidate is a good match for one the scholarships offered here.

Additional comments

We are fully committed in ensuring equal gender opportunities in assigning all PhD scholarships.

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: Master Degree or equivalent
    Engineering: Master Degree or equivalent
    Mathematics: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

The selection will be based on excellence and profile fit.

Candidates with MSc backgrounds in Computer Science, Applied Mathematics, and Electrical Engineering are particularly suited for this project.

Specific Requirements

Before enrollment in the PhD program all candidates will be required to:

  1. have a M.Sc. degree (i.e. 2° level title, as defined by the Bologna Process), issued by an officially recognized academic institution, which grants admission in PhD programmes in the country of issuance. In order to evaluate the University career, the candidate should provide: Master’s Degree and transcript of records of the Master’s Degree, Bachelor’s Degree and transcript of records of the Bachelor’s Degree. The documents shall be issued by the relevant university in one of the following languages: Italian, English, French, Portuguese or Spanish To be verified by PoliTo Doctoral School before the interviews. The original diploma and transcript will be required upon enrollment.
  2. Have passed a GRE exame and have a valid GRE certificate (https://www.ets.org/gre/)
  3. Have one of the following certificates of English language knowledge, regardless of the date of obtainment:
    • IELTS with a minimum score of 5.0;
    • one of the language certificates recognized equivalent to IELTS 5.0 by the Foreign Languages Centre and detained in the table published at the webpage: https://didattica.polito.it/zxd/b5eda0a74558a342cf659187f06f746f/9dde3c1... bb/815f4c1f644cb627e050c0828c371966?1549616887585
    • a declaration of having a Ba. and/or M.Sc. degree issued by a University in which courses are taught in English, i.e. “The medium of instruction was English”.

Work location(s)
3 position(s) available at
Politecnico di Torino
Italy
Torino
Corso Duca degli Abruzzi
2 position(s) available at
Thales DMS
France
Elancourt

EURAXESS offer ID: 605435

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