ORGANISATION/COMPANYUniversité Gustave Eiffel
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE21/03/2022 17:00 - Europe/Brussels
LOCATIONFrance › Marne-La-Vallée
TYPE OF CONTRACTTemporary
HOURS PER WEEK35
OFFER STARTING DATE03/10/2022
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions COFUND
MARIE CURIE GRANT AGREEMENT NUMBER101034248
Computer-aided design of environmental sensors based on carbon nanotubes: multi-scale modeling of electron transport at room temperature
Environmental pollution - harmful gases, toxic compounds in water and soil - are major health and environmental issues on a global scale because they are responsible for millions of deaths each year worldwide. Pollution of water and soil also strongly impacts biodiversity. Monitoring this pollution by sampling and continuous instrumentation is essential to diagnose and then eliminate the pollution. But the existing means are expensive, bulky, not very versatile and not very robust; while at the same time the amount of pollutants of interest is enormous (and growing with the detection of new pathogens) and the number of relevant measurement points is immense.
Electronic sensors based on carbon nanotubes (CNTs) have been widely investigated, including at Gustave Eiffel University, to respond to these technological challenges. In particular, CNTs exhibit great robustness (to chemical, mechanical, radiative attacks) and there is an extreme variety of possible functionalization strategies allowing them to be chemically modified in order to selectively detect the desired chemical targets.
Given the diversity of design options for these sensors, it is essential to be able to predict their performance numerically before fabricating them and characterizing them experimentally. A first step toward the computer-aided design of these sensors, we have, for example, set up tools making it possible to design the functional probes for selective sensing [1-4].
On the other hand, the work has shown the absence of turnkey tools to predict the overall electronic behavior at room temperature in a representative environment. While the state of the art  has largely focused on the modeling of mechanisms in vacuum at low temperature in isolated nanotubes, it is essential, in order to have a predictive model of the behavior of the sensors, to understand and then to model the phenomena occurring at room temperature in a complex environment within random configurations of nanotubes.
The thesis will therefore aim to develop a predictive model of electronic transport, at room temperature and in complex solvent, in ohmic and field effect devices using percolating random networks of carbon nanotubes.
Transport in CNT percolating networks depends on transport in the following 3 components: metal-CNT contacts; CNT-CNT contacts; Individual CNTs. We will therefore first develop the appropriate tools to model each of these three components before proposing a method capable of predicting the response of the overall system by capturing the randomness of the considered networks.
The thesis will deal first with ideal CNTs in vacuum, then in air and water; before introducing the possibility of atomic defects and dopants into the models. If progress allows it, more complex function probes (non-covalent and / or by small molecules) will be considered.
The large number of experimental results available in the literature will be used to validate the developed models; these results may be supplemented by new experimental data obtained through external collaborations.
The work will be carried out within Cité Descartes, in collaboration with University Gustave Eiffel and CERMICS (ENPC). They will be co-supervised by Eric Cancès (CERMICS) and Bérengère Lebental (Univ. Eiffel). They will be in line with Robert Benda PhD work conducted in the same context. The doctoral student will have access to CERMICS computing resources, and may also request access to greater resources in computing power if necessary (through shared facilities).
- High-quality doctoral training rewarded by a PhD degree, delivered by Université Gustave Eiffel
- Access to cutting-edge infrastructures for research & innovation.
- Appointment for a period of 36 months based on a salary of 2 700 € (gross salary per month).
- Job contract under the French labour legislation in force, respecting health and safety, and social security: 35 hours per week contract, 25 days of annual leave per year.
- International mobility will be mandatory
- An international environment supported by the adherence to the European Charter & Code.
- Access to dedicated CLEAR-Doc trainings with a strong interdisciplinary focus, together with a Career development Plan.
- At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree. At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.
- At the time of the deadline, applicants must be in the first four years (full-time equivalent research experience) of their research career (career breaks excluded) and not yet been awarded a doctoral degree. Career breaks refer to periods of time where the candidate was not active in research, regardless of his/her employment status (sick leave, maternity leave etc). Short stays such as holidays and/or compulsory national service are not taken into account.
- At the time of the deadline, applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately prior to the call deadline.
- Applicants must be available to start the programme on schedule (around 1st October 2022).
- Please refer to the Guide for Applicants available on the CLEAR-Doc website.
- The First step before applying is contacting the PhD supervisor. You will not be able to apply without an acceptation letter from the PhD supervisor.
- Please contact the PhD supervisor for any additional detail on job offer.
- There are no restrictions concerning the age, gender or nationality of the candidates. Applicants with career breaks or variations in the chronological sequence of their career, with mobility experience or with interdisciplinary background or private sector experience are welcome to apply.
- Support service is available during every step of the application process by email: firstname.lastname@example.org
Web site for additional job details
REQUIRED EDUCATION LEVELPhysics: Master Degree or equivalent
REQUIRED LANGUAGESENGLISH: Excellent
- At the time of the deadline, applicants must be in possession or finalizing their Master’s degree or equivalent/postgraduate degree.
- At the time of recruitment, applicants must be in possession of their Master’s degree or equivalent/postgraduate degree which would formally entitle to embark on a doctorate.
International mobility: to be discussed with the PhD thesis supervisor.
EURAXESS offer ID: 716469
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